Jeffrey R. Marks
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
- Cancer-related Molecular Pathways
Papers in
-
- Cancer Genomics and Diagnostics 44
- Breast Cancer Treatment Studies 24
- Cancer-related molecular mechanisms research 16
- Oncology 65
- Cancer-related Molecular Pathways 28
- Co-authors
- Andrew Berchuck (53 shared papers)James Dirk Iglehart (29 shared papers)Joseph R. Nevins (10 shared papers)John A. Olson (17 shared papers)Holly Kloos Dressman (12 shared papers)Mike West (5 shared papers)Andrew M. Davidoff (8 shared papers)Johnathan M. Lancaster (13 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (14 papers)Gynecologic Oncology (10 papers)Cancer Research (9 papers)Cell (8 papers)Nature Communications (8 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jeffrey R. Marks
273 papers receiving 33.6k citations
Jeffrey R. Marks's Hit Papers
Peers
Comparison fields: 5 of 186
- Cancer Research 10.2k
- Oncology 8.5k
- Molecular Biology 17.9k
- Reproductive Medicine 1.6k
- Pathology and Forensic Medicine 2.4k
Countries citing papers authored by Jeffrey R. Marks
This map shows the geographic impact of Jeffrey R. Marks'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 Jeffrey R. Marks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Marks more than expected).
Fields of papers citing papers by Jeffrey R. Marks
This network shows the impact of papers produced by Jeffrey R. Marks. 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 Jeffrey R. Marks. The network helps show where Jeffrey R. Marks may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey R. Marks, 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 281 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 2 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 3 | Oncogenic pathway signatures in human cancers as a guide to targeted therapies Hit paper breakdown → | 2005 | 1636 |
| 4 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 5 | Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer Hit paper breakdown → | 2015 | 1471 |
| 6 | Predicting the clinical status of human breast cancer by using gene expression profiles Hit paper breakdown → | 2001 | 1076 |
| 7 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 8 | 2008 | 701 | |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 10 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 11 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 12 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 550 |
| 13 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 476 |
| 14 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 15 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 16 | 2000 | 422 | |
| 17 | Overexpression and mutation of p53 in epithelial ovarian cancer. | 1991 | 408 |
| 18 | 2000 | 394 | |
| 19 | 2018 | 392 | |
| 20 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 375 |
About Jeffrey R. Marks
Jeffrey R. Marks is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Reproductive Medicine, having authored 281 papers that have together received 34.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (44 papers), Cancer-related Molecular Pathways (28 papers), Breast Cancer Treatment Studies (24 papers), Ovarian cancer diagnosis and treatment (22 papers), BRCA gene mutations in cancer (20 papers), AI in cancer detection (17 papers), Cancer-related molecular mechanisms research (16 papers) and Genomics and Chromatin Dynamics (15 papers). The work is most often cited by research in Cancer Research (10.2k citations), Oncology (8.5k citations), Molecular Biology (17.9k citations), Reproductive Medicine (1.6k citations) and Pathology and Forensic Medicine (2.4k citations). Jeffrey R. Marks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew Berchuck, James Dirk Iglehart, Joseph R. Nevins, John A. Olson, Holly Kloos Dressman, Mike West, Andrew M. Davidoff, Johnathan M. Lancaster, Anil Potti and Robert C. Bast. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Gynecologic Oncology, Cancer Research, Cell and Nature Communications.
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.