Tsugio Seki
- Molecular Biology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- S. Paul OhJihye YunLi LiTakeshi ImamuraPatricia K. DonahoeEn LiPeter ten DijkeKohei Miyazono
- Topics
- Hormonal Regulation and Hypertension (17 papers)Adrenal and Paraganglionic Tumors (9 papers)Vascular Anomalies and Treatments (6 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Tsugio Seki
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.3k
- Surgery 473
- Endocrinology, Diabetes and Metabolism 398
- Genetics 386
- Pulmonary and Respiratory Medicine 370
Countries citing papers authored by Tsugio Seki
This map shows the geographic impact of Tsugio Seki'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 Tsugio Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsugio Seki more than expected).
Fields of papers citing papers by Tsugio Seki
This network shows the impact of papers produced by Tsugio Seki. 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 Tsugio Seki. The network helps show where Tsugio Seki may publish in the future.
Co-authorship network of co-authors of Tsugio Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Tsugio Seki. A scholar is included among the top collaborators of Tsugio Seki 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 Tsugio Seki. Tsugio Seki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 33 | |
| 5 | 43 | |
| 6 | 43 | |
| 7 | 62 | |
| 8 | 32 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 84 | |
| 12 | 24 | |
| 13 | 30 | |
| 14 | 31 | |
| 15 | Activin receptor-like kinase 1 modulates transforming growth factor-β1 signaling in the regulation of angiogenesisbreakdown → | 716 |
| 16 | P-105 Investigation of 6-Aminonicotinamide-Induced Anomalies and their Critical Periods in Rats. | 1 |
| 17 | 40 | |
| 18 | 46 | |
| 19 | 108 | |
| 20 | Studies on Renin Secretion during Osmotic Diuresis in the Anaesthetized Dogs (2nd Report) Effect of Catecholamine and Renal Nerve Stimulation | 0 |
About Tsugio Seki
Tsugio Seki is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology and Allergy, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (17 papers), Adrenal and Paraganglionic Tumors (9 papers) and Vascular Anomalies and Treatments (6 papers). The work is most often cited by research in Genetics (386 citations), Immunology and Allergy (193 citations) and Endocrinology, Diabetes and Metabolism (398 citations). Tsugio Seki has collaborated with scholars based in United States, Japan and China. Frequent co-authors include S. Paul Oh, Jihye Yun, Li Li, Takeshi Imamura, Patricia K. Donahoe, En Li, Peter ten Dijke, Kohei Miyazono, Seong Jin Kim and Youngsuk Yi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.