Prabha A. Ram
- Oncology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Immunology top 5%
- Co-authors
- David J. WaxmanSoo-Hee ParkHelen W. DaveyGarry B. UdyRussell G. SnellRichard J. WilkinsHee Kyoung ChoiNisar A. Pampori
- Topics
- Growth Hormone and Insulin-like Growth Factors (14 papers)Hormonal Regulation and Hypertension (6 papers)Cytokine Signaling Pathways and Interactions (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnalytical Biochemistry
- Partner nations
- United StatesNew Zealand
In The Last Decade
Prabha A. Ram
18 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 1.3k
- Endocrinology, Diabetes and Metabolism 1.2k
- Molecular Biology 909
- Pharmacology 543
- Immunology 486
Countries citing papers authored by Prabha A. Ram
This map shows the geographic impact of Prabha A. Ram'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 Prabha A. Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabha A. Ram more than expected).
Fields of papers citing papers by Prabha A. Ram
This network shows the impact of papers produced by Prabha A. Ram. 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 Prabha A. Ram. The network helps show where Prabha A. Ram may publish in the future.
Co-authorship network of co-authors of Prabha A. Ram
This figure shows the co-authorship network connecting the top 25 collaborators of Prabha A. Ram. A scholar is included among the top collaborators of Prabha A. Ram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prabha A. Ram. Prabha A. Ram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 100 | |
| 2 | 300 | |
| 3 | 19 | |
| 4 | Requirement of STAT5b for sexual dimorphism of body growth rates and liver gene expressionbreakdown → | 828 |
| 5 | 168 | |
| 6 | 195 | |
| 7 | 123 | |
| 8 | 101 | |
| 9 | 202 | |
| 10 | 24 | |
| 11 | 28 | |
| 12 | 66 | |
| 13 | 49 | |
| 14 | 213 | |
| 15 | 74 | |
| 16 | 48 | |
| 17 | 2 | |
| 18 | 50 |
About Prabha A. Ram
Prabha A. Ram is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Physiology, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Hormonal Regulation and Hypertension (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Pharmacology (543 citations) and Oncology (1.3k citations). Prabha A. Ram has collaborated with scholars based in United States and New Zealand. Frequent co-authors include David J. Waxman, Soo-Hee Park, Helen W. Davey, Garry B. Udy, Russell G. Snell, Richard J. Wilkins, Hee Kyoung Choi, Nisar A. Pampori, B Shapiro and Arun K. Agrawal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.
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.