Stefan Fröhling

Active 1996–2025

Also published as
Stefan FRÖHLING
201
Papers
32,977
Citations
87
h-index
193
i10-index

Citations

Citations per year for Stefan Fröhling1977: 1 citations1992: 1 citations1996: 1 citations1997: 6 citations1998: 6 citations1999: 5 citations2000: 5 citations2001: 10 citations2002: 8 citations2003: 20 citations2004: 47 citations2005: 131 citations2006: 183 citations2007: 183 citations2008: 236 citations2009: 243 citations2010: 309 citations2011: 312 citations2012: 292 citations2013: 228 citations2014: 241 citations2015: 211 citations2016: 250 citations2017: 210 citations2018: 224 citations2019: 871 citations2020: 1,168 citations2021: 1,433 citations2022: 1,308 citations2023: 1,194 citations2024: 1,784 citations2025: 926 citations2026: 79 citations1978–1991: no citations, so these years are not shown1993–1995: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,227 citing papers, 25% of this breakdownChina: 1,913 citing papers, 11.3% of this breakdownGermany: 1,556 citing papers, 9.2% of this breakdownUnited Kingdom: 1,064 citing papers, 6.3% of this breakdownItaly: 758 citing papers, 4.5% of this breakdownFrance: 627 citing papers, 3.7% of this breakdownSpain: 486 citing papers, 2.9% of this breakdownCanada: 479 citing papers, 2.8% of this breakdownNetherlands: 462 citing papers, 2.7% of this breakdownAustralia: 409 citing papers, 2.4% of this breakdownSwitzerland: 394 citing papers, 2.3% of this breakdownJapan: 390 citing papers, 2.3% of this breakdown
0%25%Other 24.6%

Fields

  • Medicine61.8%
  • Biochemistry, Genetics and Molecular Biology28.6%
  • Computer Science4.5%
  • Immunology and Microbiology2.6%
  • Engineering0.4%
  • Neuroscience0.3%
  • Other1.8%

Topics

  • Acute Myeloid Leukemia Research6.6%
  • Cancer Genomics and Diagnostics3.8%
  • Myeloproliferative Neoplasms: Diagnosis and Treatment3.4%
  • AI in cancer detection3%
  • Cutaneous Melanoma Detection and Management2.6%
  • Cancer Immunotherapy and Biomarkers2.3%
  • Other78.3%

Coauthors

All papers

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  1. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jill P. Mesirov, David E. Root, D. Gary Gilliland, Tyler Jacks, William C. Hahn - Nature 2009 cited by 4,263

  2. The CDK inhibitor CR8 acts as a molecular glue degrader that depletes cyclin K

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature 2020 cited by 407

  3. Accurate and efficient detection of gene fusions from RNA sequencing data

    Authors: , , , , , , , , , , , - Genome Research 2021 cited by 524

  4. 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

  5. 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

  6. 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

  7. The coming decade in precision oncology: six riddles

    Authors: , , , , , , - Nature reviews. Cancer 2022 cited by 204

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

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

  9. Small-molecule-induced polymerization triggers degradation of BCL6

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature 2020 cited by 270

  10. 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

  11. Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cancer Cell 2005 cited by 2,991

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

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

  13. Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Marinela Augustin, Walter E. Aulitzky, Peter Hohenberger, Matthias Kroiß, Peter Schirmacher, Richard F. Schlenk, Ulrich Keilholz, Frederick Klauschen, Gunnar Folprecht, Sebastian Bauer, Jens T. Siveke, Christian Brandts, Thomas Kindler, Melanie Boerries, Anna Lena Illert, Nikolas von Bubnoff, Philipp J. Jost, Karsten Spiekermann, Michael Bitzer, Klaus Schulze‐Osthoff, Christof von Kalle, Barbara Klink, Benedikt Brors, Albrecht Stenzinger, Evelin Schröck, Daniel Hübschmann, Wilko Weichert, Hanno Glimm, Stefan Fröhling - Cancer Discovery 2021 cited by 285

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

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

  15. BCAT1 restricts αKG levels in AML stem cells leading to IDHmut-like DNA hypermethylation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anthony D. Ho, Jeroen Krijgsveld, Bernhard Radlwimmer, Andreas Trumpp - Nature 2017 cited by 353

  16. 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

  17. Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective

    Authors: , , , , , , , , , , , - Frontiers in Medicine 2020 cited by 194

  18. Uncertainty Estimation in Medical Image Classification: Systematic Review

    Authors: , , , , , , , , - JMIR Medical Informatics 2022 cited by 62

  19. Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review

    Authors: , , , , , , , , - European Journal of Cancer 2021 cited by 96

  20. 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

  21. TP53 alterations in acute myeloid leukemia with complex karyotype correlate with specific copy number alterations, monosomal karyotype, and dismal outcome

    Authors: , , , , , , , , , , , , , , , , , , , , , - Blood 2011 cited by 678

  22. The Molecular Tumor Board Portal supports clinical decisions and automated reporting for precision oncology

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Valentina Fornerone, Paola Gabaldi, Felix Haglund, Johan Hartman, Peter Horak, Tanja Jutzi, Mary Kasanicki, Simon Kreutzfeldt, Lucian Le Cornet, Rolf Lewensohn, Johan Lindberg, Carlos López, Andreas Lundqvist, Jose‐Ezequiel Martín, Gerrit A. Meijer, Susana Muñoz, Maud Ngo Camus, Claudio Nicotra, Paolo Nucíforo, Petra Oberrauch, Päivi Östling, Laura Pelz, Alejandro Piris‐Giménez, Elena Provenzano, Étienne Rouleau, John Rowell, Omar Saavedra, Giovanni Scoazec, Kenneth B. Seamon, Marc Tischkowitz, Lizet van der Kolk, Ruud van der Noll, María Vieito, Daniël J. Vis, Ana Vivancos, Christina von Gertten, Anders Wennborg, Lodewyk F.A. Wessels, Valtteri Wirta, Judith Balmañà, Giovanni Apolone, Carlos Caldas, Jonas Bergh, Ingemar Ernberg, Stefan Fröhling, Elena Garralda, Claes Karlsson, Josep Tabernero, Emile E. Voest, Jordi Rodón, Janne Lehtiö - Nature Cancer 2022 cited by 130

  23. Pathologist-level classification of histopathological melanoma images with deep neural networks

    Authors: , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 232

  24. Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Cell Biology 2020 cited by 179