| LDHA-associated lactic acid production blunts tumor immunosurveillance by T and NK cells A Brand, K Singer, GE Koehl, M Kolitzus, G Schoenhammer, A Thiel, ... Cell metabolism 24 (5), 657-671, 2016 | 1516 | 2016 |
| Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma D Liu, B Schilling, D Liu, A Sucker, E Livingstone, L Jerby-Arnon, ... Nature medicine 25 (12), 1916-1927, 2019 | 752 | 2019 |
| Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task TJ Brinker, A Hekler, AH Enk, J Klode, A Hauschild, C Berking, B Schilling, ... European Journal of Cancer 113, 47-54, 2019 | 521 | 2019 |
| Superior skin cancer classification by the combination of human and artificial intelligence A Hekler, JS Utikal, AH Enk, A Hauschild, M Weichenthal, RC Maron, ... European Journal of Cancer 120, 114-121, 2019 | 361 | 2019 |
| Deep neural networks are superior to dermatologists in melanoma image classification TJ Brinker, A Hekler, AH Enk, C Berking, S Haferkamp, A Hauschild, ... European Journal of Cancer 119, 11-17, 2019 | 317 | 2019 |
| A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task TJ Brinker, A Hekler, AH Enk, J Klode, A Hauschild, C Berking, B Schilling, ... European Journal of Cancer 111, 148-154, 2019 | 298 | 2019 |
| Adjuvant nivolumab plus ipilimumab or nivolumab monotherapy versus placebo in patients with resected stage IV melanoma with no evidence of disease (IMMUNED): a randomised … L Zimmer, E Livingstone, JC Hassel, M Fluck, T Eigentler, C Loquai, ... The Lancet 395 (10236), 1558-1568, 2020 | 250 | 2020 |
| Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts S Haggenmüller, RC Maron, A Hekler, JS Utikal, C Barata, RL Barnhill, ... European Journal of Cancer 156, 202-216, 2021 | 230 | 2021 |
| Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks RC Maron, M Weichenthal, JS Utikal, A Hekler, C Berking, A Hauschild, ... European Journal of Cancer 119, 57-65, 2019 | 230 | 2019 |
| Prognostic factors and outcomes in metastatic uveal melanoma treated with programmed cell death-1 or combined PD-1/cytotoxic T-lymphocyte antigen-4 inhibition MV Heppt, L Heinzerling, KC Kähler, A Forschner, MC Kirchberger, ... European Journal of Cancer 82, 56-65, 2017 | 206 | 2017 |
| Merkel cell polyomavirus status is not associated with clinical course of Merkel cell carcinoma D Schrama, WK Peitsch, M Zapatka, H Kneitz, R Houben, S Eib, ... Journal of Investigative Dermatology 131 (8), 1631-1638, 2011 | 205 | 2011 |
| Vemurafenib induces senescence features in melanoma cells S Haferkamp, A Borst, C Adam, TM Becker, S Motschenbacher, ... Journal of Investigative Dermatology 133 (6), 1601-1609, 2013 | 148 | 2013 |
| Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark TJ Brinker, A Hekler, A Hauschild, C Berking, B Schilling, AH Enk, ... European Journal of Cancer 111, 30-37, 2019 | 145 | 2019 |
| Randomized, double-blind, placebo-controlled, global phase III trial of talimogene laherparepvec combined with pembrolizumab for advanced melanoma JA Chesney, A Ribas, GV Long, JM Kirkwood, R Dummer, I Puzanov, ... Journal of Clinical Oncology 41 (3), 528-540, 2023 | 140 | 2023 |
| In situ investigations of mechanochemical one‐pot syntheses H Kulla, S Haferkamp, I Akhmetova, M Röllig, C Maierhofer, K Rademann, ... Angewandte Chemie International Edition 57 (20), 5930-5933, 2018 | 117 | 2018 |
| RB1 is the crucial target of the Merkel cell polyomavirus Large T antigen in Merkel cell carcinoma cells S Hesbacher, L Pfitzer, K Wiedorfer, S Angermeyer, A Borst, S Haferkamp, ... Oncotarget 7 (22), 32956, 2016 | 110 | 2016 |
| Explainable artificial intelligence in skin cancer recognition: A systematic review K Hauser, A Kurz, S Haggenmüller, RC Maron, C von Kalle, JS Utikal, ... European Journal of Cancer 167, 54-69, 2022 | 105 | 2022 |
| Oncogene-induced senescence does not require the p16INK4a or p14ARF melanoma tumor suppressors S Haferkamp, LL Scurr, TM Becker, M Frausto, RF Kefford, H Rizos Journal of Investigative Dermatology 129 (8), 1983-1991, 2009 | 104 | 2009 |
| The relative contributions of the p53 and pRb pathways in oncogene-induced melanocyte senescence S Haferkamp, SL Tran, TM Becker, LL Scurr, RF Kefford, H Rizos Aging 1 (6), 542, 2009 | 104 | 2009 |
| High-level expression of wild-type p53 in melanoma cells is frequently associated with inactivity in p53 reporter gene assays R Houben, S Hesbacher, CP Schmid, CS Kauczok, U Flohr, S Haferkamp, ... PloS one 6 (7), e22096, 2011 | 98 | 2011 |
