Alexander Enk

Active 1992–2025

120
Papers
25,061
Citations
77
h-index
118
i10-index

Citations

Citations per year for Alexander Enk1981: 1 citations1992: 8 citations1993: 13 citations1994: 40 citations1995: 48 citations1996: 61 citations1997: 54 citations1998: 97 citations1999: 167 citations2000: 174 citations2001: 260 citations2002: 309 citations2003: 385 citations2004: 390 citations2005: 382 citations2006: 284 citations2007: 288 citations2008: 231 citations2009: 228 citations2010: 149 citations2011: 191 citations2012: 127 citations2013: 115 citations2014: 108 citations2015: 77 citations2016: 86 citations2017: 95 citations2018: 120 citations2019: 574 citations2020: 761 citations2021: 886 citations2022: 712 citations2023: 597 citations2024: 804 citations2025: 387 citations2026: 38 citations1982–1991: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,568 citing papers, 25.4% of this breakdownGermany: 989 citing papers, 9.8% of this breakdownChina: 709 citing papers, 7% of this breakdownUnited Kingdom: 628 citing papers, 6.2% of this breakdownItaly: 461 citing papers, 4.6% of this breakdownFrance: 360 citing papers, 3.6% of this breakdownJapan: 338 citing papers, 3.3% of this breakdownNetherlands: 322 citing papers, 3.2% of this breakdownAustralia: 308 citing papers, 3% of this breakdownIndia: 307 citing papers, 3% of this breakdownCanada: 283 citing papers, 2.8% of this breakdownSwitzerland: 211 citing papers, 2.1% of this breakdown
0%25.4%Other 26%

Fields

  • Medicine43.9%
  • Immunology and Microbiology37.5%
  • Biochemistry, Genetics and Molecular Biology8.6%
  • Computer Science5.5%
  • Neuroscience1.1%
  • Engineering0.9%
  • Other2.5%

Topics

  • Immunotherapy and Immune Responses11.1%
  • T-cell and B-cell Immunology8.1%
  • Immune Cell Function and Interaction7.9%
  • Cutaneous Melanoma Detection and Management5.9%
  • AI in cancer detection5.2%
  • Cancer Immunotherapy and Biomarkers3.7%
  • Other58.1%

Coauthors

All papers

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  1. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lara‐Elena Hakim‐Meibodi, Susanne Hanner, Franziska Hartmann, Julia Hartmann, Georg Haus, Elti Hoxha, Raimonds Karls, Hiroshi Koga, Jürgen Kreusch, Aimilios Lallas, Pawel Majenka, A.A. Marghoob, Cesare Massone, Lali Mekokishvili, Dominik Mestel, Volker Meyer, Anna Neuberger, K. Nielsen, Margaret Oliviero, Riccardo Pampena, John Paoli, Erika Pawlik, Barbar Rao, Adriana Rendón, Teresa Russo, Ahmed Sadek, Kinga T. Samhaber, Roland Schneiderbauer, Anissa Schweizer, Ferdinand Toberer, Lukas Trennheuser, Lyobomira Vlahova, Alexander Wald, Julia K. Winkler, Priscila Wölbing, Iris Zalaudek - Annals of Oncology 2018 cited by 1,565

  2. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

    Authors: , , , , , , , , , , - JAMA Dermatology 2019 cited by 365

  3. 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

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

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

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

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

  6. 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

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

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

  8. 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

  9. Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kristina Buder‐Bakhaya, Maria-Letizia Cappelletti, Cécile Chabbert, Julie Labarthe, Eveline Decoster, Teresa Deinlein, Michèle Dobler, Daphnée Dumon, Steffen Emmert, Julie Gachon-Buffet, Mikhail Gusarov, Franziska Hartmann, Julia Hartmann, Anke Herrmann, Isabelle Hoorens, Eva Hulstaert, Raimonds Karls, Andreea Kolonte, Christian Kromer, Aimilios Lallas, Céline Le Blanc Vasseux, Annabelle Levy-Roy, Pawel Majenka, Marine Marc, Veronique Martin Bourret, Nadège Michelet-Brunacci, Christina Mitteldorf, Jean Paroissien, Camille Picard, Diana Plise, V. Reymann, Fabrice Ribeaudeau, Pauline Richez, Hélène Roche Plaine, D. Salik, Elke Sattler, Sarah K. Schäfer, Roland Schneiderbauer, Thierry Secchi, K. Talour, Lukas Trennheuser, Alexander Wald, Priscila Wölbing, P Zukervar - Annals of Oncology 2020 cited by 232

  10. 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

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

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

  12. Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study

    Authors: , , , , , , - JAMA Dermatology 2023 cited by 87

  13. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark

    Authors: , , , , , , , , , , , , , , - European Journal of Cancer 2019 cited by 155

  14. Phase II DeCOG-Study of Ipilimumab in Pretreated and Treatment-Naïve Patients with Metastatic Uveal Melanoma

    Authors: , , , , , , , , , , , , , , , , - PLoS ONE 2015 cited by 291

  15. Soluble immune checkpoints and T-cell subsets in blood as biomarkers for resistance to immunotherapy in melanoma patients

    Authors: , , , , , , , , , - OncoImmunology 2021 cited by 62

  16. Melanoma recognition by a deep learning convolutional neural network—Performance in different melanoma subtypes and localisations

    Authors: , , , , , , , , , , , , , , - European Journal of Cancer 2020 cited by 107

  17. The Multifaceted Actions of CD73 During Development and Suppressive Actions of Regulatory T Cells

    Authors: , , , , - Frontiers in Immunology 2022 cited by 43

  18. Male fertility during and after immune checkpoint inhibitor therapy: A cross-sectional pilot study

    Authors: , , , , , , , - European Journal of Cancer 2021 cited by 50

  19. Targeted Therapy in Advanced Melanoma With Rare BRAF Mutations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Journal of Clinical Oncology 2019 cited by 124

  20. Skin lesions of face and scalp – Classification by a market-approved convolutional neural network in comparison with 64 dermatologists

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cécile Chabbert, Julie Labarthe, Eveline Decoster, Teresa Deinlein, Michèle Dobler, Daphnée Dumon, Steffen Emmert, Julie Gachon-Buffet, Mikhail Gusarov, Franziska Hartmann, Julia Hartmann, Anke Herrmann, Isabelle Hoorens, Eva Hulstaert, Raimonds Karls, Andreea Kolonte, Christian Kromer, Aimilios Lallas, Céline Le Blanc Vasseux, Annabelle Levy-Roy, Pawel Majenka, Marine Marc, Veronique Martin Bourret, Nadège Michelet-Brunacci, Christina Mitteldorf, Jean Paroissien, Camille Picard, Diana Plise, V. Reymann, Fabrice Ribeaudeau, Pauline Richez, Hélène Roche Plaine, D. Salik, Elke Sattler, Sarah K. Schäfer, Roland Schneiderbauer, Thierry Secchi, K. Talour, Lukas Trennheuser, Alexander Wald, Priscila Wölbing, P Zukervar - European Journal of Cancer 2020 cited by 44

  21. Non-small Cell Lung Cancer Induces an Immunosuppressive Phenotype of Dendritic Cells in Tumor Microenvironment by Upregulating B7-H3

    Authors: , , , , , , - Journal of Thoracic Oncology 2011 cited by 98

  22. Tadalafil has biologic activity in human melanoma. Results of a pilot trial with Tadalafil in patients with metastatic Melanoma (TaMe)

    Authors: , , , , , , , , , , , , - OncoImmunology 2017 cited by 94

  23. Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas

    Authors: , , , , , , , , , , , , , , - Journal of the European Academy of Dermatology and Venereology 2019 cited by 74

  24. Chemokines and Cytokines in Immunotherapy of Melanoma and Other Tumors: From Biomarkers to Therapeutic Targets

    Authors: , , - International Journal of Molecular Sciences 2024 cited by 37