Mark S. Gesell
Impact in
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- Amino Acid Enzymes and Metabolism
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- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
Papers in
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- Polyamine Metabolism and Applications 5
- Retinoids in leukemia and cellular processes 2
- Oncology 4
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- G D Luk (6 shared papers)Stephen B. Baylin (2 shared papers)George S. Roth (1 shared paper)David Brandes (2 shared papers)Juan C. Millán (2 shared papers)Tadaomi Takenawa (1 shared paper)Gordon D. Luk (3 shared papers)Takeshi Nakagawa (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Prostate (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)Neuropeptides (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Mark S. Gesell
16 papers receiving 353 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 31
- Oncology 92
- Behavioral Neuroscience 11
- Molecular Biology 186
- Genetics 74
Countries citing papers authored by Mark S. Gesell
This map shows the geographic impact of Mark S. Gesell'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 S. Gesell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Gesell more than expected).
Fields of papers citing papers by Mark S. Gesell
This network shows the impact of papers produced by Mark S. Gesell. 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 S. Gesell. The network helps show where Mark S. Gesell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Gesell, 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 | 1988 | 55 | |
| 2 | 1984 | 52 | |
| 3 | 1980 | 48 | |
| 4 | 1993 | 36 | |
| 5 | 1981 | 25 | |
| 6 | 1998 | 25 | |
| 7 | 1998 | 19 | |
| 8 | 1994 | 18 | |
| 9 | 1992 | 17 | |
| 10 | 1999 | 14 | |
| 11 | 1987 | 12 | |
| 12 | 1994 | 12 | |
| 13 | 1972 | 11 | |
| 14 | 1993 | 10 | |
| 15 | Detection of ornithine decarboxylase messenger RNA in human hepatocellular carcinoma by in situ hybridization. | 1992 | 8 |
| 16 | 1982 | 6 |
About Mark S. Gesell
Mark S. Gesell is a scholar working on Molecular Biology, Oncology, Biochemistry, Pharmacology and Clinical Biochemistry, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Metabolism and Genetic Disorders (3 papers), Retinoids in leukemia and cellular processes (2 papers), Cannabis and Cannabinoid Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Estrogen and related hormone effects (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Biochemistry (31 citations), Oncology (92 citations), Behavioral Neuroscience (11 citations), Molecular Biology (186 citations) and Genetics (74 citations). Mark S. Gesell has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include G D Luk, Stephen B. Baylin, George S. Roth, David Brandes, Juan C. Millán, Tadaomi Takenawa, Gordon D. Luk, Takeshi Nakagawa, Robert A. Casero and A de Bustros. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Prostate, Journal of Histochemistry & Cytochemistry, Neuropeptides and The Journal of Clinical Endocrinology & Metabolism.
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.