R. J. Roman
- Biochemistry top 0.05%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Co-authors
- David R. HarderJohn R. FalckA. P. ZouDebebe GebremedhinAllen W. CowleyJohn D. ImigYunn‐Hwa MaMary L. Kaldunski
- Topics
- Eicosanoids and Hypertension Pharmacology (26 papers)Nitric Oxide and Endothelin Effects (21 papers)Hormonal Regulation and Hypertension (13 papers)
- Partner nations
- United StatesKuwaitAustralia
In The Last Decade
R. J. Roman
69 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 109
- Biochemistry 2.6k
- Physiology 2.0k
- Endocrinology, Diabetes and Metabolism 1.7k
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 1.0k
Countries citing papers authored by R. J. Roman
This map shows the geographic impact of R. J. Roman'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 R. J. Roman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. Roman more than expected).
Fields of papers citing papers by R. J. Roman
This network shows the impact of papers produced by R. J. Roman. 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 R. J. Roman. The network helps show where R. J. Roman may publish in the future.
Co-authorship network of co-authors of R. J. Roman
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Roman. A scholar is included among the top collaborators of R. J. Roman 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 R. J. Roman. R. J. Roman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Resistencia de Rhipicephalus (boophilus) microplus a ixodicidas en ranchos bovinos del municipio Evangelista, Veracruz, México | 0 |
| 2 | The cytochrome P450 4A/F-20-hydroxyeicosatetraenoic acid system: A regulator of endothelial precursor cells derived from human umbilical cord blood (Journal of Pharmacology and Experimental Therapeutics (2011) 338, (421-429)) | 6 |
| 3 | 27 | |
| 4 | 45 | |
| 5 | 17 | |
| 6 | 15 | |
| 7 | 99 | |
| 8 | 15 | |
| 9 | 28 | |
| 10 | 8 | |
| 11 | Structural determinants of the renal vascular response to 20-hydroxyeicosatetraenoic acid (20-HETE) | 1 |
| 12 | 257 | |
| 13 | 55 | |
| 14 | 159 | |
| 15 | 19 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 27 | |
| 19 | 2 | |
| 20 | 2 |
About R. J. Roman
R. J. Roman is a scholar working on Biochemistry, Nephrology and Physiology, having authored 70 papers that have together received 5.0k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (26 papers), Nitric Oxide and Endothelin Effects (21 papers) and Hormonal Regulation and Hypertension (13 papers). The work is most often cited by research in Biochemistry (2.6k citations), Endocrinology, Diabetes and Metabolism (1.7k citations) and Nephrology (620 citations). R. J. Roman has collaborated with scholars based in United States, Kuwait and Australia. Frequent co-authors include David R. Harder, John R. Falck, A. P. Zou, Debebe Gebremedhin, Allen W. Cowley, John D. Imig, Yunn‐Hwa Ma, Mary L. Kaldunski, David L. Mattson and William B. Campbell. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research and The FASEB Journal.
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.