TERUHISA UMEDA
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Cardiology and Cardiovascular Medicine
- Nutrition and Dietetics top 10%
- Molecular Biology
- Co-authors
- Tatsuo SatoTaisuke IwaokaShojiro NaomiJunnosuke InoueJunichi TajiriMitsuo MORITAK HigashiT. Inaba
- Topics
- Hormonal Regulation and Hypertension (9 papers)Sodium Intake and Health (6 papers)Pituitary Gland Disorders and Treatments (6 papers)
In The Last Decade
TERUHISA UMEDA
58 papers receiving 576 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 270
- Surgery 178
- Cardiology and Cardiovascular Medicine 136
- Nutrition and Dietetics 98
- Molecular Biology 55
Countries citing papers authored by TERUHISA UMEDA
This map shows the geographic impact of TERUHISA UMEDA'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 TERUHISA UMEDA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TERUHISA UMEDA more than expected).
Fields of papers citing papers by TERUHISA UMEDA
This network shows the impact of papers produced by TERUHISA UMEDA. 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 TERUHISA UMEDA. The network helps show where TERUHISA UMEDA may publish in the future.
Co-authorship network of co-authors of TERUHISA UMEDA
This figure shows the co-authorship network connecting the top 25 collaborators of TERUHISA UMEDA. A scholar is included among the top collaborators of TERUHISA UMEDA 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 TERUHISA UMEDA. TERUHISA UMEDA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 24 | |
| 3 | [Evaluation of inhibitory effect of isoflurane on the hypoxic pulmonary vasoconstriction response in dogs]. | 3 |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | Effects of propranolo, itramin tosylate and dipyridamole on myocardial phosphate metabolism in anoxic perfused rat hearts. | 1 |
| 18 | 1 | |
| 19 | Biliary excretion of diphenylhydantoin in the rat. Time-course studies. | 12 |
| 20 | 1 |
About TERUHISA UMEDA
TERUHISA UMEDA is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Biochemistry, having authored 58 papers that have together received 607 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Sodium Intake and Health (6 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (270 citations), Nutrition and Dietetics (98 citations) and Cardiology and Cardiovascular Medicine (136 citations). TERUHISA UMEDA has collaborated with scholars based in Japan, Canada and India. Frequent co-authors include Tatsuo Sato, Taisuke Iwaoka, Shojiro Naomi, Junnosuke Inoue, Junichi Tajiri, Mitsuo MORITA, K Higashi, T. Inaba, Masato Sasaki and Tatsuya Shimada. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension 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.