Steven J. Forrester
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Immunology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Kathy K. GriendlingDaniel S. KikuchiMarina S. HernandesQian XuSatoru EguchiTatsuo KawaiVictor RizzoRosario Scalia
- Topics
- Hormonal Regulation and Hypertension (6 papers)Receptor Mechanisms and Signaling (5 papers)Renin-Angiotensin System Studies (5 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Steven J. Forrester
21 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.4k
- Cardiology and Cardiovascular Medicine 702
- Physiology 423
- Immunology 419
- Endocrinology, Diabetes and Metabolism 321
Countries citing papers authored by Steven J. Forrester
This map shows the geographic impact of Steven J. Forrester'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. Forrester 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. Forrester more than expected).
Fields of papers citing papers by Steven J. Forrester
This network shows the impact of papers produced by Steven J. Forrester. 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. Forrester. The network helps show where Steven J. Forrester may publish in the future.
Co-authorship network of co-authors of Steven J. Forrester
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Forrester. A scholar is included among the top collaborators of Steven J. Forrester 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. Forrester. Steven J. Forrester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 32 | |
| 3 | 8 | |
| 4 | 25 | |
| 5 | 71 | |
| 6 | 77 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | Reactive Oxygen Species in Metabolic and Inflammatory Signalingbreakdown → | 1541 |
| 10 | Angiotensin II Signal Transduction: An Update on Mechanisms of Physiology and Pathophysiologybreakdown → | 772 |
| 11 | 167 | |
| 12 | 44 | |
| 13 | 69 | |
| 14 | 218 | |
| 15 | 8 | |
| 16 | 82 | |
| 17 | 15 | |
| 18 | 0 | |
| 19 | 36 | |
| 20 | 4 |
About Steven J. Forrester
Steven J. Forrester is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (5 papers) and Renin-Angiotensin System Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (702 citations), Neurology (181 citations) and Aging (37 citations). Steven J. Forrester has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Kathy K. Griendling, Daniel S. Kikuchi, Marina S. Hernandes, Qian Xu, Satoru Eguchi, Tatsuo Kawai, Victor Rizzo, Rosario Scalia, Thomas M. Coffman and George W. Booz. Their work appears in journals such as Physiological Reviews, PLoS ONE and Circulation Research.
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.