Steven J. Fluharty
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Endocrine and Autonomic Systems top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Alan N. EpsteinDaniel K. YeeDerek DanielsLawrence P. ReaganRandall R. SakaiMichael J. ZigmondEdward M. StrickerLori R. Kisley
- Topics
- Renin-Angiotensin System Studies (39 papers)Receptor Mechanisms and Signaling (37 papers)Hormonal Regulation and Hypertension (18 papers)
- Cited by
- Behavioral NeuroscienceEndocrine and Autonomic SystemsCardiology and Cardiovascular Medicine
- Partner nations
- United StatesItalyCanada
In The Last Decade
Steven J. Fluharty
80 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 987
- Endocrinology, Diabetes and Metabolism 670
- Endocrine and Autonomic Systems 564
- Cellular and Molecular Neuroscience 556
Countries citing papers authored by Steven J. Fluharty
This map shows the geographic impact of Steven J. Fluharty'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 Steven J. Fluharty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Fluharty more than expected).
Fields of papers citing papers by Steven J. Fluharty
This network shows the impact of papers produced by Steven J. Fluharty. 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 Steven J. Fluharty. The network helps show where Steven J. Fluharty may publish in the future.
Co-authorship network of co-authors of Steven J. Fluharty
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Fluharty. A scholar is included among the top collaborators of Steven J. Fluharty 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 Steven J. Fluharty. Steven J. Fluharty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 49 | |
| 3 | 76 | |
| 4 | 7 | |
| 5 | 85 | |
| 6 | 86 | |
| 7 | 14 | |
| 8 | 55 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 54 | |
| 14 | 5 | |
| 15 | 55 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 10 | |
| 19 | 37 | |
| 20 | 16 |
About Steven J. Fluharty
Steven J. Fluharty is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (39 papers), Receptor Mechanisms and Signaling (37 papers) and Hormonal Regulation and Hypertension (18 papers). The work is most often cited by research in Behavioral Neuroscience (319 citations), Endocrine and Autonomic Systems (564 citations) and Cardiology and Cardiovascular Medicine (987 citations). Steven J. Fluharty has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Alan N. Epstein, Daniel K. Yee, Derek Daniels, Lawrence P. Reagan, Randall R. Sakai, Michael J. Zigmond, Edward M. Stricker, Lori R. Kisley, Loretta M. Flanagan‐Cato and John Hines. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and 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.