Jochen Utikal

Active 2001–2025

200
Papers
40,590
Citations
85
h-index
191
i10-index

Citations

Citations per year for Jochen Utikal1974: 1 citations1987: 1 citations1991: 3 citations1992: 3 citations2001: 1 citations2002: 3 citations2003: 4 citations2004: 2 citations2005: 6 citations2006: 15 citations2007: 36 citations2008: 109 citations2009: 238 citations2010: 218 citations2011: 173 citations2012: 172 citations2013: 242 citations2014: 244 citations2015: 268 citations2016: 386 citations2017: 497 citations2018: 623 citations2019: 1,744 citations2020: 2,199 citations2021: 2,414 citations2022: 2,015 citations2023: 1,689 citations2024: 2,566 citations2025: 1,294 citations2026: 83 citations1975–1986: no citations, so these years are not shown1988–1990: no citations, so these years are not shown1993–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,138 citing papers, 24.2% of this breakdownChina: 3,020 citing papers, 14.3% of this breakdownGermany: 1,503 citing papers, 7.1% of this breakdownItaly: 994 citing papers, 4.7% of this breakdownUnited Kingdom: 989 citing papers, 4.7% of this breakdownFrance: 734 citing papers, 3.5% of this breakdownAustralia: 660 citing papers, 3.1% of this breakdownSpain: 601 citing papers, 2.8% of this breakdownNetherlands: 588 citing papers, 2.8% of this breakdownCanada: 534 citing papers, 2.5% of this breakdownJapan: 528 citing papers, 2.5% of this breakdownIndia: 507 citing papers, 2.4% of this breakdown
0%24.2%Other 25.4%

Fields

  • Medicine47.7%
  • Biochemistry, Genetics and Molecular Biology30.3%
  • Immunology and Microbiology14.4%
  • Computer Science3.5%
  • Engineering1.4%
  • Neuroscience0.8%
  • Other1.9%

Topics

  • Cancer Immunotherapy and Biomarkers9.3%
  • Immunotherapy and Immune Responses6.4%
  • Cutaneous Melanoma Detection and Management4.6%
  • Melanoma and MAPK Pathways3.7%
  • Immune cells in cancer3.6%
  • CAR-T cell therapy research3.6%
  • Other68.8%

Coauthors

All papers

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  1. Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jan Diekmann, Janko Ciesla, Olga Waksmann, Alexandra-Kemmer Brück, Meike Witt, Martina Zillgen, Andrée Rothermel, Barbara Kasemann, David Langer, Stefanie Bolte, Mustafa Diken, Sebastian Kreiter, Romina Nemecek, Christoffer Gebhardt, Stephan Grabbe, Christoph Höller, Jochen Utikal, Christoph Huber, Carmen Loquai, Özlem Türeci - Nature 2017 cited by 2,501

  2. An RNA vaccine drives immunity in checkpoint-inhibitor-treated melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Verena Müller, Heidrun Mitzel-Rink, Matthias Miederer, Christoph Huber, Stephan Grabbe, Jochen Utikal, Andreas Pinter, Roland Kaufmann, Jessica C. Hassel, Carmen Loquai, Özlem Türeci - Nature 2020 cited by 1,043

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

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

  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. Myeloid-derived suppressor cells in cancer and cancer therapy

    Authors: , , , , - Nature Reviews Clinical Oncology 2024 cited by 416

  6. Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression

    Authors: , , , , , , - British Journal of Cancer 2018 cited by 817

  7. Combined BRAF and MEK Inhibition versus BRAF Inhibition Alone in Melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Danièle Ouellet, Anne‐Marie Martin, Ngocdiep T. Le, Kiran Patel, Keith T. Flaherty - New England Journal of Medicine 2014 cited by 1,871

  8. IL-6 as a major regulator of MDSC activity and possible target for cancer immunotherapy

    Authors: , , , , , , , - Cellular Immunology 2020 cited by 312

  9. 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

  10. 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

  11. 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

  12. 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

  13. Improved Survival with MEK Inhibition in BRAF-Mutated Melanoma

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2012 cited by 2,141

  14. Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

    Authors: , , , , , , , , , - Journal of Medical Internet Research 2018 cited by 488

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

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

  16. Dabrafenib and trametinib versus dabrafenib and placebo for Val600 BRAF-mutant melanoma: a multicentre, double-blind, phase 3 randomised controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jeffrey J. Legos, Fan Jin, Bijoyesh Mookerjee, Keith T. Flaherty - The Lancet 2015 cited by 1,386

  17. Myeloid-Derived Suppressor Cells Hinder the Anti-Cancer Activity of Immune Checkpoint Inhibitors

    Authors: , , , , , , , - Frontiers in Immunology 2018 cited by 551

  18. 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

  19. Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review

    Authors: , , , , , , , , , , , , , - European Journal of Cancer 2021 cited by 191

  20. SOX2 in development and cancer biology

    Authors: , , , , , - Seminars in Cancer Biology 2019 cited by 389

  21. Enhancing immunotherapy response in melanoma: myeloid-derived suppressor cells as a therapeutic target

    Authors: , , , , - Journal of Clinical Investigation 2023 cited by 101

  22. The Role of Myeloid-Derived Suppressor Cells (MDSC) in Cancer Progression

    Authors: , , , - Vaccines 2016 cited by 441

  23. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

    Authors: , , , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 280

  24. Dabrafenib plus trametinib versus dabrafenib monotherapy in patients with metastatic BRAF V600E/K-mutant melanoma: long-term survival and safety analysis of a phase 3 study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jean‐Jacques Grob - Annals of Oncology 2017 cited by 652