Sudha W. Mitra
- Molecular Biology top 10%
- Genetics top 2%
- Virology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Infectious Diseases top 5%
- Co-authors
- David BaltimoreEli GilboaStephen P. GoffJames M. SchaefferHilary WilkinsonJoel B. YudkovitzSonoko OgawaSusan P. Rohrer
- Topics
- HIV/AIDS drug development and treatment (4 papers)HIV Research and Treatment (3 papers)Estrogen and related hormone effects (3 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Sudha W. Mitra
17 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.1k
- Genetics 813
- Virology 516
- Endocrinology, Diabetes and Metabolism 415
- Infectious Diseases 410
Countries citing papers authored by Sudha W. Mitra
This map shows the geographic impact of Sudha W. Mitra'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 Sudha W. Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha W. Mitra more than expected).
Fields of papers citing papers by Sudha W. Mitra
This network shows the impact of papers produced by Sudha W. Mitra. 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 Sudha W. Mitra. The network helps show where Sudha W. Mitra may publish in the future.
Co-authorship network of co-authors of Sudha W. Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Sudha W. Mitra. A scholar is included among the top collaborators of Sudha W. Mitra 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 Sudha W. Mitra. Sudha W. Mitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expression of somatostatin receptors in arginine vasopressin hormone-secreting olfactory neuroblastoma--report of two cases. | 9 |
| 2 | Immunolocalization of Estrogen Receptor β in the Mouse Brain: Comparison with Estrogen Receptor αbreakdown → | 715 |
| 3 | 27 | |
| 4 | 76 | |
| 5 | 66 | |
| 6 | 147 | |
| 7 | 25 | |
| 8 | 94 | |
| 9 | 58 | |
| 10 | 49 | |
| 11 | 11 | |
| 12 | 228 | |
| 13 | 167 | |
| 14 | 50 | |
| 15 | A detailed model of reverse transcription and tests of crucial aspectsbreakdown → | 539 |
| 16 | Double-helical regions in Kilham rat virus DNA | 7 |
| 17 | 26 |
About Sudha W. Mitra
Sudha W. Mitra is a scholar working on Virology, Infectious Diseases and Animal Science and Zoology, having authored 17 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Virology (516 citations), Behavioral Neuroscience (218 citations) and Genetics (813 citations). Sudha W. Mitra has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include David Baltimore, Eli Gilboa, Stephen P. Goff, James M. Schaeffer, Hilary Wilkinson, Joel B. Yudkovitz, Sonoko Ogawa, Susan P. Rohrer, Donald W. Pfaff and Bruce S. McEwen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.