Subbarao Vemulapalli
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Physiology top 10%
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Peter J.S. ChiuEdmund J. SybertzR.W. WatkinsCarolyn FosterMartin F. HaslangerMaria A. RivelliMadhu ChintalaA Barnett
- Topics
- Eicosanoids and Hypertension Pharmacology (8 papers)Heart Failure Treatment and Management (8 papers)Peptidase Inhibition and Analysis (7 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Subbarao Vemulapalli
37 papers receiving 677 citations
Peers
Comparison fields: 5 of 74
- Cardiology and Cardiovascular Medicine 283
- Molecular Biology 219
- Physiology 211
- Oncology 138
- Endocrinology, Diabetes and Metabolism 114
Countries citing papers authored by Subbarao Vemulapalli
This map shows the geographic impact of Subbarao Vemulapalli'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 Subbarao Vemulapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbarao Vemulapalli more than expected).
Fields of papers citing papers by Subbarao Vemulapalli
This network shows the impact of papers produced by Subbarao Vemulapalli. 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 Subbarao Vemulapalli. The network helps show where Subbarao Vemulapalli may publish in the future.
Co-authorship network of co-authors of Subbarao Vemulapalli
This figure shows the co-authorship network connecting the top 25 collaborators of Subbarao Vemulapalli. A scholar is included among the top collaborators of Subbarao Vemulapalli 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 Subbarao Vemulapalli. Subbarao Vemulapalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 7 | |
| 3 | 37 | |
| 4 | 12 | |
| 5 | 45 | |
| 6 | 9 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 33 | |
| 10 | 30 | |
| 11 | 56 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 17 | |
| 17 | AGEPC, a vasodilator phospholipid with profound circulatory actions. | 1 |
| 18 | 8 | |
| 19 | Effect of aprotinin-induced kallikrein inhibition on the cardiovascular and renal action of captopril in diuretic-treated dogs. | 3 |
| 20 | 50 |
About Subbarao Vemulapalli
Subbarao Vemulapalli is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 725 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (8 papers), Heart Failure Treatment and Management (8 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (283 citations), Physiology (211 citations) and Endocrinology, Diabetes and Metabolism (114 citations). Subbarao Vemulapalli has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Peter J.S. Chiu, Edmund J. Sybertz, R.W. Watkins, Carolyn Foster, Martin F. Haslanger, Maria A. Rivelli, Madhu Chintala, A Barnett, Robert W. Watkins and Barry J.R. Pitts. Their work appears in journals such as Hypertension, Journal of Pharmacology and Experimental Therapeutics and Biochemical Pharmacology.
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.