Michael D. Feldman
Impact in
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
- Biophysics top 0.2%
- Cell Image Analysis Techniques
Papers in
- Oncology 64
- Cancer Immunotherapy and Biomarkers 16
-
- AI in cancer detection 62
- Co-authors
- Anant Madabhushi (80 shared papers)John Tomaszewski (27 shared papers)Natalie Shih (40 shared papers)Scott Doyle (12 shared papers)Shridar Ganesan (16 shared papers)Ajay Basavanhally (13 shared papers)Hannah Gilmore (8 shared papers)Priti Lal (22 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)Cancer Research (9 papers)PLoS ONE (9 papers)Scientific Reports (7 papers)Clinical Cancer Research (6 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Michael D. Feldman
272 papers receiving 15.0k citations
Michael D. Feldman's Hit Papers
Peers
Comparison fields: 5 of 181
- Oncology 5.1k
- Biophysics 921
- Otorhinolaryngology 680
- Radiology, Nuclear Medicine and Imaging 3.2k
- Immunology 2.7k
Countries citing papers authored by Michael D. Feldman
This map shows the geographic impact of Michael D. Feldman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael D. Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Feldman more than expected).
Fields of papers citing papers by Michael D. Feldman
This network shows the impact of papers produced by Michael D. Feldman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael D. Feldman. The network helps show where Michael D. Feldman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Feldman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 276 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BRAF and RAS mutations in human lung cancer and melanoma. Hit paper breakdown → | 2002 | 841 |
| 2 | Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade Hit paper breakdown → | 2016 | 804 |
| 3 | Tumor endothelium FasL establishes a selective immune barrier promoting tolerance in tumors Hit paper breakdown → | 2014 | 770 |
| 4 | Tumor-associated neutrophils stimulate T cell responses in early-stage human lung cancer Hit paper breakdown → | 2014 | 495 |
| 5 | Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks Hit paper breakdown → | 2014 | 377 |
| 6 | Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent Hit paper breakdown → | 2017 | 349 |
| 7 | 2016 | 334 | |
| 8 | 2011 | 324 | |
| 9 | Local recurrence in head and neck cancer: relationship to radiation resistance and signal transduction. | 2002 | 288 |
| 10 | 2014 | 280 | |
| 11 | 2008 | 243 | |
| 12 | Randomized Phase II Trial of Nivolumab Versus Nivolumab and Ipilimumab for Recurrent or Persistent Ovarian Cancer: An NRG Oncology Study Hit paper breakdown → | 2020 | 224 |
| 13 | 2018 | 218 | |
| 14 | 2015 | 215 | |
| 15 | 2009 | 207 | |
| 16 | 2010 | 207 | |
| 17 | 2008 | 204 | |
| 18 | 2019 | 200 | |
| 19 | 2019 | 198 | |
| 20 | 2003 | 196 |
About Michael D. Feldman
Michael D. Feldman is a scholar working on Oncology, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 276 papers that have together received 15.3k indexed citations. Recurring topics across this work include AI in cancer detection (62 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Medical Image Segmentation Techniques (29 papers), Prostate Cancer Diagnosis and Treatment (20 papers), Cancer Immunotherapy and Biomarkers (16 papers), Cancer Genomics and Diagnostics (16 papers), Gene expression and cancer classification (12 papers) and MRI in cancer diagnosis (11 papers). The work is most often cited by research in Oncology (5.1k citations), Biophysics (921 citations), Otorhinolaryngology (680 citations), Radiology, Nuclear Medicine and Imaging (3.2k citations) and Immunology (2.7k citations). Michael D. Feldman has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Anant Madabhushi, John Tomaszewski, Natalie Shih, Scott Doyle, Shridar Ganesan, Ajay Basavanhally, Hannah Gilmore, Priti Lal, Shannon C. Agner and George Coukos. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, PLoS ONE, Scientific Reports and Clinical Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.