| Integrated proteogenomic characterization of clear cell renal cell carcinoma DJ Clark, SM Dhanasekaran, F Petralia, J Pan, X Song, Y Hu, ... Cell 179 (4), 964-983. e31, 2019 | 494 | 2019 |
| Proteogenomic characterization reveals therapeutic vulnerabilities in lung adenocarcinoma MA Gillette, S Satpathy, S Cao, SM Dhanasekaran, SV Vasaikar, K Krug, ... Cell 182 (1), 200-225. e35, 2020 | 468 | 2020 |
| Proteogenomic and metabolomic characterization of human glioblastoma LB Wang, A Karpova, MA Gritsenko, JE Kyle, S Cao, Y Li, D Rykunov, ... Cancer cell 39 (4), 509-528. e20, 2021 | 390 | 2021 |
| Proteogenomic characterization of endometrial carcinoma Y Dou, EA Kawaler, DC Zhou, MA Gritsenko, C Huang, L Blumenberg, ... Cell 180 (4), 729-748. e26, 2020 | 325 | 2020 |
| Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models R Hong, W Liu, D DeLair, N Razavian, D Fenyö Cell Reports Medicine 2 (9), 100400, 2021 | 80 | 2021 |
| Deep learning and pathomics analyses reveal cell nuclei as important features for mutation prediction of BRAF-mutated melanomas RH Kim, S Nomikou, N Coudray, G Jour, Z Dawood, R Hong, E Esteva, ... Journal of Investigative Dermatology 142 (6), 1650-1658. e6, 2022 | 62* | 2022 |
| Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness Y Li, TSM Lih, SM Dhanasekaran, R Mannan, L Chen, M Cieslik, Y Wu, ... Cancer cell 41 (1), 139-163. e17, 2023 | 54 | 2023 |
| Proteogenomic data and resources for pan-cancer analysis Y Li, Y Dou, FDV Leprevost, Y Geffen, AP Calinawan, F Aguet, Y Akiyama, ... Cancer cell 41 (8), 1397-1406, 2023 | 24 | 2023 |
| The human melanoma proteome atlas—Complementing the melanoma transcriptome LH Betancourt, J Gil, A Sanchez, V Doma, M Kuras, JR Murillo, ... Clinical and Translational Medicine 11 (7), e451, 2021 | 23 | 2021 |
| Pan-cancer proteogenomics connects oncogenic drivers to functional states Y Li, E Porta-Pardo, C Tokheim, MH Bailey, TM Yaron, V Stathias, ... Cell 186 (18), 3921-3944. e25, 2023 | 19 | 2023 |
| Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation Y Geffen, S Anand, Y Akiyama, TM Yaron, Y Song, JL Johnson, ... Cell 186 (18), 3945-3967. e26, 2023 | 18 | 2023 |
| The human melanoma proteome atlas—Defining the molecular pathology LH Betancourt, J Gil, Y Kim, V Doma, U Çakır, A Sanchez, JR Murillo, ... Clinical and Translational Medicine 11 (7), e473, 2021 | 18 | 2021 |
| Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin WW Liang, RJH Lu, RG Jayasinghe, SM Foltz, E Porta-Pardo, Y Geffen, ... Cancer cell 41 (9), 1567-1585. e7, 2023 | 8 | 2023 |
| Proteogenomic insights suggest druggable pathways in endometrial carcinoma Y Dou, L Katsnelson, MA Gritsenko, Y Hu, B Reva, R Hong, YT Wang, ... Cancer cell 41 (9), 1586-1605. e15, 2023 | 7 | 2023 |
| Deep Learning and Its Applications in Computational Pathology R Hong, D Fenyö BioMedInformatics 2 (1), 159-168, 2022 | 7 | 2022 |
| Pan-cancer proteogenomics characterization of tumor immunity F Petralia, W Ma, TM Yaron, FP Caruso, N Tignor, JM Wang, ... Cell, 2024 | 5 | 2024 |
| Predicting and visualizing STK11 mutation in lung Adenocarcinoma histopathology slides using deep learning R Hong, W Liu, D Fenyö BioMedInformatics 2 (1), 101-105, 2021 | 4 | 2021 |
| Histopathology-assisted proteogenomics provides foundations for stratification of melanoma metastases M Kuras, LH Betancourt, R Hong, L Szadai, J Rodriguez, P Horvatovich, ... bioRxiv, 2023.09. 29.559755, 2023 | 2 | 2023 |
| When blockchain meets artificial intelligence: An application to cancer histopathology R Hong, D Fenyö Cell Reports Medicine 3 (6), 2022 | 2 | 2022 |
| Predicting and interpreting the Hofmeister effects of different salts with nucleic bases and aromatic compounds using solubility assay R Hong | 2 | 2017 |
David FenyoProfessor, New York UniversityVerified email at FenyoLab.org
