Bastian Schilling

Active 2010–2025

118
Papers
21,772
Citations
63
h-index
108
i10-index

Citations

Citations per year for Bastian Schilling1976: 1 citations1992: 2 citations2010: 2 citations2011: 6 citations2012: 12 citations2013: 40 citations2014: 75 citations2015: 62 citations2016: 277 citations2017: 400 citations2018: 420 citations2019: 1,156 citations2020: 1,504 citations2021: 1,680 citations2022: 1,294 citations2023: 1,015 citations2024: 1,492 citations2025: 731 citations2026: 49 citations1977–1991: no citations, so these years are not shown1993–2009: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,228 citing papers, 24% of this breakdownChina: 1,885 citing papers, 14% of this breakdownGermany: 925 citing papers, 6.9% of this breakdownUnited Kingdom: 749 citing papers, 5.6% of this breakdownItaly: 700 citing papers, 5.2% of this breakdownFrance: 493 citing papers, 3.7% of this breakdownAustralia: 414 citing papers, 3.1% of this breakdownNetherlands: 390 citing papers, 2.9% of this breakdownSpain: 384 citing papers, 2.8% of this breakdownCanada: 330 citing papers, 2.4% of this breakdownSwitzerland: 329 citing papers, 2.4% of this breakdownJapan: 294 citing papers, 2.2% of this breakdown
0%24%Other 24.8%

Fields

  • Medicine62.4%
  • Biochemistry, Genetics and Molecular Biology18%
  • Immunology and Microbiology14.1%
  • Computer Science3%
  • Engineering0.9%
  • Neuroscience0.4%
  • Other1.2%

Topics

  • Cancer Immunotherapy and Biomarkers14.4%
  • Immunotherapy and Immune Responses7.5%
  • Cutaneous Melanoma Detection and Management5.1%
  • CAR-T cell therapy research4.4%
  • Immune cells in cancer3.9%
  • Immune Cell Function and Interaction3.5%
  • Other61.2%

Coauthors

All papers

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  1. Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Catherine J. Wu, Karl S. Peggs, Timothy A. Chan, Sine Reker Hadrup, Sergio A. Quezada, Charles Swanton - Science 2016 cited by 3,142

  2. Genomic correlates of response to CTLA-4 blockade in metastatic melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , - Science 2015 cited by 2,995

  3. A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Israel Cañadas, Bastian Schilling, Adam N.R. Cartwright, Adrienne Luoma, Shruti Malu, Patrick Hwu, Chantale Bernatchez, Marie-Andrée Forget, David A. Barbie, Alex K. Shalek, Itay Tirosh, Peter K. Sorger, Kai W. Wucherpfennig, Eliezer M. Van Allen, Dirk Schadendorf, Bruce E. Johnson, Asaf Rotem, Orit Rozenblatt–Rosen, Levi A. Garraway, Charles H. Yoon, Benjamin Izar, Aviv Regev - Cell 2018 cited by 1,482

  4. Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Levi A. Garraway, Aviv Regev, Keith T. Flaherty, Annette Paschen, Eliezer M. Van Allen, Dirk Schadendorf - Nature Medicine 2019 cited by 1,105

  5. Explainable artificial intelligence in skin cancer recognition: A systematic review

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Achim Hekler, Eva Krieghoff‐Henning, Titus J. Brinker - European Journal of Cancer 2022 cited by 161

  6. Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jochen Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff‐Henning, Alexander Salava, Alexander Thiem, Alexandris Dimitrios, Amr Mohammad Ammar, Ana Sanader Vučemilović, Andrea Miyuki Yoshimura, Andzelka Ilieva, Anja Gesierich, Antonia Reimer‐Taschenbrecker, Antonios G.A. Kolios, Arturs Kaļva, Arzu Ferhatosmanoğlu, Aude Beyens, Claudia Pföhler, Dilara Ilhan Erdil, Dobrila Jovanovic, Emöke Rácz, Falk G. Bechara, Federico Vaccaro, Florentia Dimitriou, Günel Rasulova, Hülya Cenk, Irem Yanatma, Isabel Kolm, Isabelle Hoorens, Iskra Petrovska Sheshova, Ivana Jocic, Jana Knuever, Janik Fleißner, Janis Thamm, Johan Dahlberg, Juan José Lluch‐Galcerá, Juan Sebastián Andreani Figueroa, Julia Holzgruber, Julia Welzel, Katerina Damevska, Kristine Elisabeth Mayer, Lara Valeska Maul, Laura Garzona-Navas, Laura Isabell Bley, Laurenz Schmitt, Lena Reipen, Lidia Shafik, Lidija Petrovska, Linda Golle, Luise Jopen, Magda Gogilidze, Maria Rosa Burg, Martha Alejandra Morales‐Sánchez, Martyna Sławińska, Miriam Mengoni, Miroslav Dragolov, N. Iglesias-Pena, Nina Booken, Nkechi Anne Enechukwu, Oana‐Diana Persa, Olumayowa Abimbola Oninla, Panagiota Theofilogiannakou, Paula Kage, Roque Rafael Oliveira Neto, Rosario Peralta, Rym Afiouni, Sandra Schuh, Saskia Schnabl-Scheu, Seçil Vural, Sharon Hudson and 24 more - Nature Communications 2024 cited by 151

  7. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Theodora Kanaki, Sarah Knispel, Katja Leonhard, Anna Martaki, Liliana Matei, Johanna Matull, Alexandra Olischewski, Maximilian Petri, Jan‐Malte Placke, Simon Raub, Katrin Salva, Swantje Schlott, Elsa Sody, Nadine Steingrube, Ingo Stoffels, Selma Ugurel, Anne Zaremba, Christoffer Gebhardt, Nina Booken, Maria Christolouka, Kristina Buder‐Bakhaya, Therezia Bokor‐Billmann, Alexander Enk, Patrick Gholam, Holger Hänßle, Martin Salzmann, Sarah K. Schäfer, Knut Schäkel, Timo Schank, Ann‐Sophie Bohne, Sophia Deffaa, Katharina Drerup, Friederike Egberts, Anna‐Sophie Erkens, Benjamin Ewald, Sandra Falkvoll, Sascha Gerdes, Viola Harde, Axel Hauschild, Marion Jost, Katja Kosova, Laetitia Messinger, Malte Metzner, Kirsten Morrison, Rogina Motamedi, Anja Pinczker, Anne Rosenthal, Natalie Scheller, Thomas Schwarz, Dora Stölzl, Federieke Thielking, Elena Tomaschewski, Ulrike Wehkamp, Michael Weichenthal, Oliver Wiedow, Claudia Bär, Sophia Bender-Säbelkampf, Marc Horbrügger, Ante Karoglan, Luise Kraas, Jörg Faulhaber, Cyrill Géraud, Ze Guo, Philipp Koch, Miriam Linke, Nolwenn Maurier, Verena Müller, Benjamin Thomas, Jochen Utikal, Ali Saeed M. Alamri and 34 more - European Journal of Cancer 2019 cited by 589

  8. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Konstantinos Liopyris, Mar Llamas‐Velasco, Josep Malvehy, Friedegund Meier, F. Max Müller, Alexander A. Navarini, Cristián Navarrete‐Dechent, Antonio Perasole, Gabriela Poch, Sebastián Podlipnik, Luis Requena, Veronica Rotemberg, Andrea Saggini, Omar P. Sangüeza, Carlos Santonja, Dirk Schadendorf, Bastian Schilling, Max Schlaak, Justin Gabriel Schlager, Mildred Sergon, Wiebke Sondermann, H. Peter Soyer, Hans Starz, Wilhelm Stolz, Esmeralda Vale, Wolfgang Weyers, Alexander Zink, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Christof von Kalle, Daniel B. Lipka, Stefan Fröhling, Axel Hauschild, Harald Kittler, Titus J. Brinker - European Journal of Cancer 2021 cited by 247

  9. Type IIFNs induce anti‐tumor polarization of tumor associated neutrophils in mice and human

    Authors: , , , , , , , , , - International Journal of Cancer 2015 cited by 419

  10. Deep neural networks are superior to dermatologists in melanoma image classification

    Authors: , , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 410

  11. Superior skin cancer classification by the combination of human and artificial intelligence

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Martin Salzmann, Sarah K. Schäfer, Knut Schäkel, Julia K. Winkler, Priscilla Wölbing, Hiba Asper, Ann‐Sophie Bohne, Victoria Brown, Bianca Burba, Sophia Deffaa, Cecilia Dietrich, Matthias Dietrich, Katharina Drerup, Friederike Egberts, Anna‐Sophie Erkens, Salim Greven, Viola Harde, Marion Jost, Merit Kaeding, Katharina Kosova, S. Lischner, Maria Maagk, Anna Laetitia Messinger, Malte Metzner, Rogina Motamedi, Ann-Christine Rosenthal, Ulrich Seidl, Jana Stemmermann, Kaspar Torz, Juliana Giraldo Velez, Jennifer Haiduk, Mareike Alter, Claudia Bär, Paul Bergenthal, Anne Gerlach, Christian Holtorf, Ante Karoglan, Sophie Kindermann, Luise Kraas, Moritz Felcht, Maria Rita Gaiser, Claus‐Detlev Klemke, Hjalmar Kurzen, Thomas Leibing, Verena Müller, Raphael Reinhard, Jochen Utikal, Franziska Winter, Carola Berking, Laurie Eicher, Daniela Hartmann, Markus V. Heppt, Katharina Kilian, Sebastian Krammer, Diana Lill, Anne‐Charlotte Niesert, Eva Oppel, Elke Sattler, Sonja Senner, Jens Wallmichrath, Hans Wolff, Anja Gesierich, Tina Giner, Valerie Glutsch, Andreas Kerstan, Dagmar Presser, Philipp Schrüfer, Patrick Schummer, Ina Stolze, Judith Weber and 5 more - European Journal of Cancer 2019 cited by 354

  12. RETRACTED ARTICLE: sFRP2 in the aged microenvironment drives melanoma metastasis and therapy resistance

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Qin Liu, Edmund K. Bartlett, Giorgos C. Karakousis, Zeynep Eroglu, Roger S. Lo, Matthew Chan, Alexander M. Menzies, Georgina V. Long, Douglas B. Johnson, Jeffrey A. Sosman, Bastian Schilling, Dirk Schadendorf, David W. Speicher, Marcus Bosenberg, Antoni Ribas, Ashani T. Weeraratna - Nature 2016 cited by 390

  13. Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Richard Marais, Antoni Ribas, Zeynep Eroglu, Michael A. Davies, Bastian Schilling, Dirk Schadendorf, Wei Xu, Ravi K. Amaravadi, Alexander M. Menzies, Jennifer L. McQuade, Douglas B. Johnson, Iman Osman, Ashani T. Weeraratna - Clinical Cancer Research 2018 cited by 361

  14. Genomic correlates of response to immune checkpoint blockade in microsatellite-stable solid tumors

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Eliezer M. Van Allen - Nature Genetics 2018 cited by 696

  15. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Theodora Kanaki, Sarah Knispel, Katja Leonhard, Anna Martaki, Liliana Matei, Johanna Matull, Alexandra Olischewski, Maximilian Petri, Jan-Malte Placke, Simon Raub, Katrin Salva, Swantje Schlott, Elsa Sody, Nadine Steingrube, Ingo Stoffels, Selma Ugurel, Wiebke Sondermann, Anne Zaremba, Christoffer Gebhardt, Nina Booken, Maria Christolouka, Kristina Buder‐Bakhaya, Therezia Bokor‐Billmann, Alexander Enk, Patrick Gholam, Holger Hänßle, Martin Salzmann, Sarah K. Schäfer, Knut Schäkel, Timo Schank, Ann‐Sophie Bohne, Sophia Deffaa, Katharina Drerup, Friederike Egberts, Anna-Sophie Erkens, Benjamin Ewald, Sandra Falkvoll, Sascha Gerdes, Viola Harde, Axel Hauschild, Marion Jost, Katja Kosova, Laetitia Messinger, Malte Metzner, Kirsten Morrison, Rogina Motamedi, Anja Pinczker, Anne Rosenthal, Natalie Scheller, Thomas Schwarz, Dora Stölzl, Federieke Thielking, Elena Tomaschewski, Ulrike Wehkamp, Michael Weichenthal, Oliver Wiedow, Claudia Bär, Sophia Bender-Säbelkampf, Marc Horbrügger, Ante Karoglan, Luise Kraas, Jörg Faulhaber, Cyrill Géraud, Ze Guo, Philipp Koch, Miriam Linke, Nolwenn Maurier, Verena Müller, Benjamin Thomas, Jochen Utikal and 35 more - European Journal of Cancer 2019 cited by 299

  16. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Georg Lodde, Stefanie Sammet, Dirk Schadendorf, Wiebke Sondermann, Selma Ugurel, Jeannine Zader, Alexander Enk, Martin Salzmann, Sarah K. Schäfer, Knut Schäkel, Julia K. Winkler, Priscilla Wölbing, Hiba Asper, Ann‐Sophie Bohne, Victoria Brown, Bianca Burba, Sophia Deffaa, Cecilia Dietrich, Matthias Dietrich, Katharina Drerup, Friederike Egberts, Anna‐Sophie Erkens, Salim Greven, Viola Harde, Marion Jost, Merit Kaeding, Katharina Kosova, S. Lischner, Maria Maagk, Anna Laetitia Messinger, Malte Metzner, Rogina Motamedi, Ann-Christine Rosenthal, Ulrich Seidl, Jana Stemmermann, Kaspar Torz, Juliana Giraldo Velez, Jennifer Haiduk, Mareike Alter, Claudia Bär, Paul Bergenthal, Anne Gerlach, Christian Holtorf, Ante Karoglan, Sophie Kindermann, Luise Kraas, Moritz Felcht, Maria Rita Gaiser, Claus‐Detlev Klemke, Hjalmar Kurzen, Thomas Leibing, Verena Müller, Raphael Reinhard, Jochen Utikal, Franziska Winter, Carola Berking, Laurie Eicher, Daniela Hartmann, Markus V. Heppt, Katharina Kilian, Sebastian Krammer, Diana Lill, Anne‐Charlotte Niesert, Eva Oppel, Elke Sattler, Sonja Senner, Jens Wallmichrath, Hans Wolff, Tina Giner, Valerie Glutsch and 11 more - European Journal of Cancer 2019 cited by 218

  17. Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2016 cited by 584

  18. Adjuvant nivolumab plus ipilimumab or nivolumab monotherapy versus placebo in patients with resected stage IV melanoma with no evidence of disease (IMMUNED): a randomised, double-blind, placebo-controlled, phase 2 trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jochen Utikal - The Lancet 2020 cited by 242

  19. Adjuvant nivolumab plus ipilimumab or nivolumab alone versus placebo in patients with resected stage IV melanoma with no evidence of disease (IMMUNED): final results of a randomised, double-blind, phase 2 trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Sebastian Haferkamp, Ralf Gutzmer, Friedegund Meier, Peter Mohr, Axel Hauschild, Bastian Schilling, Christian Menzer, Felix Kiecker, Edgar Dippel, Alexander Roesch, Mirjana Ziemer, Beate Conrad, Silvia Körner, Jan‐Christoph Simon, Rudolf Herbst, Carola Berking, Jochen Utikal, Sabine Sell, Uwe M. Martens, Patrick Terheyden, Rudolf Stadler, Christine Windemuth-Kieselbach, Leonora Schwarz, Claus Garbe, Jürgen C. Becker, Dirk Schadendorf - The Lancet 2022 cited by 108

  20. Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Titus J. Brinker - European Journal of Cancer 2021 cited by 105

  21. Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stefan Fröhling, Titus J. Brinker - JAMA Dermatology 2024 cited by 49

  22. Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2016 cited by 542

  23. Acquired IFNγ resistance impairs anti-tumor immunity and gives rise to T-cell-resistant melanoma lesions

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2017 cited by 248

  24. ESMO consensus conference recommendations on the management of metastatic melanoma: under the auspices of the ESMO Guidelines Committee

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alessandro Testori, Olivier Michielin - Annals of Oncology 2020 cited by 233