M E Riser
Impact in
- Physiology top 10%
-
- Estrogen and related hormone effects
- Virus-based gene therapy research
- Animal Genetics and Reproduction
Papers in
-
- Biochemical and Molecular Research 2
- Signaling Pathways in Disease 1
- Kruppel-like factors research 1
- Protein Degradation and Inhibitors 1
- Genetics 5
- Animal Genetics and Reproduction 2
- Virus-based gene therapy research 2
- Co-authors
- Bert W. O’Malley (3 shared papers)Douglas C. Dean (2 shared papers)Brian J. Knoll (2 shared papers)Michael J. Siciliano (4 shared papers)Ravi Iyengar (1 shared paper)Mehrajuddin Bhat (1 shared paper)Lutz Birnbaumer (1 shared paper)Rodney E. Kellems (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Advances in experimental medicine and biology (1 paper)Diabetes (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
M E Riser
12 papers receiving 307 citations
Peers
Comparison fields: 5 of 61
- Physiology 29
- Genetics 156
- Molecular Biology 238
- Reproductive Medicine 28
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by M E Riser
This map shows the geographic impact of M E Riser'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 M E Riser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M E Riser more than expected).
Fields of papers citing papers by M E Riser
This network shows the impact of papers produced by M E Riser. 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 M E Riser. The network helps show where M E Riser may publish in the future.
Co-authors
The 24 scholars most cited alongside M E Riser, 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 | 1983 | 89 | |
| 2 | 1983 | 63 | |
| 3 | 1981 | 62 | |
| 4 | 1984 | 44 | |
| 5 | 1983 | 27 | |
| 6 | 1983 | 21 | |
| 7 | 1983 | 17 | |
| 8 | 1983 | 9 | |
| 9 | 1982 | 4 | |
| 10 | 1982 | 2 | |
| 11 | 1985 | 2 | |
| 12 | 1983 | 2 |
About M E Riser
M E Riser is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Surgery, having authored 12 papers that have together received 342 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), Biochemical and Molecular Research (2 papers), Virus-based gene therapy research (2 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (1 paper), Kruppel-like factors research (1 paper), Protein Degradation and Inhibitors (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Physiology (29 citations), Genetics (156 citations), Molecular Biology (238 citations), Reproductive Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (33 citations). M E Riser has collaborated with scholars based in United States. Frequent co-authors include Bert W. O’Malley, Douglas C. Dean, Brian J. Knoll, Michael J. Siciliano, Ravi Iyengar, Mehrajuddin Bhat, Lutz Birnbaumer, Rodney E. Kellems, C Y Yeung and Eric C. Lai. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Diabetes, Nature 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.