S Umemura
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- W. A. PettingerD D SmythMasao IshiiNagahiko YumitaK MurakamiKouichi TamuraYoshiyuki ToyaAkiyoshi Fukamizu
- Topics
- Hormonal Regulation and Hypertension (15 papers)Receptor Mechanisms and Signaling (14 papers)Renin-Angiotensin System Studies (14 papers)
- Partner nations
- JapanUnited StatesNepal
In The Last Decade
S Umemura
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 553
- Molecular Biology 467
- Endocrinology, Diabetes and Metabolism 331
- Physiology 219
- Pulmonary and Respiratory Medicine 182
Countries citing papers authored by S Umemura
This map shows the geographic impact of S Umemura'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 S Umemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Umemura more than expected).
Fields of papers citing papers by S Umemura
This network shows the impact of papers produced by S Umemura. 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 S Umemura. The network helps show where S Umemura may publish in the future.
Co-authorship network of co-authors of S Umemura
This figure shows the co-authorship network connecting the top 25 collaborators of S Umemura. A scholar is included among the top collaborators of S Umemura 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 S Umemura. S Umemura 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 | 14 | |
| 3 | 39 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 52 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 68 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 13 | |
| 16 | 30 | |
| 17 | 4 | |
| 18 | Preoperative lateralisation of aldosteronomas by aldosterone/cortisol ratios in adrenal venous plasma. | 6 |
| 19 | Transaminase of L-cysteine in rat liver mitochondria. | 11 |
| 20 | Studies on a patient with iminopeptiduria. I. Identification of urinary iminopeptides. | 20 |
About S Umemura
S Umemura is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (15 papers), Receptor Mechanisms and Signaling (14 papers) and Renin-Angiotensin System Studies (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (553 citations), Endocrinology, Diabetes and Metabolism (331 citations) and Physiology (78 citations). S Umemura has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include W. A. Pettinger, D D Smyth, Masao Ishii, Nagahiko Yumita, K Murakami, Kouichi Tamura, Yoshiyuki Toya, Akiyoshi Fukamizu, Tamio Iwamoto and Minoru Kihara. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.