Mark R. Sullivan
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 7
-
- Epigenetics and DNA Methylation 4
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Matthew G. Vander Heiden (9 shared papers)Katherine Mattaini (3 shared papers)Caroline A. Lewis (4 shared papers)Alexander Muir (5 shared papers)Emily A. Dennstedt (2 shared papers)Tenzin Kunchok (2 shared papers)Dan Y. Gui (1 shared paper)Laura V. Danai (1 shared paper)
- Journals
- Cell Metabolism (1 paper)PLoS Pathogens (1 paper)Nature Cell Biology (1 paper)Nature Metabolism (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Mark R. Sullivan
13 papers receiving 1.1k citations
Mark R. Sullivan's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 551
- Biochemistry 148
- Molecular Biology 733
- Oncology 250
- Biotechnology 78
Countries citing papers authored by Mark R. Sullivan
This map shows the geographic impact of Mark R. Sullivan'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 Mark R. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Sullivan more than expected).
Fields of papers citing papers by Mark R. Sullivan
This network shows the impact of papers produced by Mark R. Sullivan. 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 Mark R. Sullivan. The network helps show where Mark R. Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability Hit paper breakdown → | 2019 | 368 |
| 2 | 2016 | 295 | |
| 3 | 2019 | 175 | |
| 4 | 2019 | 93 | |
| 5 | 2021 | 65 | |
| 6 | 2019 | 41 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2025 | 4 |
About Mark R. Sullivan
Mark R. Sullivan is a scholar working on Cancer Research, Molecular Biology, Infectious Diseases, Oncology and Epidemiology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Epigenetics and DNA Methylation (4 papers), Tuberculosis Research and Epidemiology (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Mycobacterium research and diagnosis (3 papers), Cancer Research and Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cancer Research (551 citations), Biochemistry (148 citations), Molecular Biology (733 citations), Oncology (250 citations) and Biotechnology (78 citations). Mark R. Sullivan has collaborated with scholars based in United States and Germany. Frequent co-authors include Matthew G. Vander Heiden, Katherine Mattaini, Caroline A. Lewis, Alexander Muir, Emily A. Dennstedt, Tenzin Kunchok, Dan Y. Gui, Laura V. Danai, Sze Ham Chan and Alicia M. Darnell. Their work appears in journals such as Cell Metabolism, PLoS Pathogens, Nature Cell Biology, Nature Metabolism and Proceedings of the National Academy of Sciences.
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.