Tsuguhito Ota
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Surgery top 2%
- Co-authors
- Naoto NagataYinhua NiShuichi KanekoToshinari TakamuraLiang XuMayumi NagashimadaHitoshi AndoHirofumi Misu
- Topics
- Liver Disease Diagnosis and Treatment (34 papers)Adipose Tissue and Metabolism (21 papers)Adipokines, Inflammation, and Metabolic Diseases (15 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tsuguhito Ota
86 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Epidemiology 3.2k
- Molecular Biology 2.3k
- Endocrinology, Diabetes and Metabolism 1.8k
- Physiology 1.7k
- Surgery 1.2k
Countries citing papers authored by Tsuguhito Ota
This map shows the geographic impact of Tsuguhito Ota'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 Tsuguhito Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuguhito Ota more than expected).
Fields of papers citing papers by Tsuguhito Ota
This network shows the impact of papers produced by Tsuguhito Ota. 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 Tsuguhito Ota. The network helps show where Tsuguhito Ota may publish in the future.
Co-authorship network of co-authors of Tsuguhito Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuguhito Ota. A scholar is included among the top collaborators of Tsuguhito Ota 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 Tsuguhito Ota. Tsuguhito Ota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 57 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | β-クリプトキサンチンはマウスのミトコンドリア機能不全を減弱することによるアスタキサンチンより心臓虚血-再潅流障害に対する大心臓保護効果を発揮する【Powered by NICT】 | 1 |
| 6 | 1 | |
| 7 | 29 | |
| 8 | 212 | |
| 9 | 33 | |
| 10 | 98 | |
| 11 | 22 | |
| 12 | 364 | |
| 13 | 78 | |
| 14 | 39 | |
| 15 | 59 | |
| 16 | 27 | |
| 17 | 73 | |
| 18 | 19 | |
| 19 | 50 | |
| 20 | 83 |
About Tsuguhito Ota
Tsuguhito Ota is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Biochemistry, having authored 86 papers that have together received 6.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (34 papers), Adipose Tissue and Metabolism (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Epidemiology (3.2k citations) and Hepatology (553 citations). Tsuguhito Ota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Naoto Nagata, Yinhua Ni, Shuichi Kaneko, Toshinari Takamura, Liang Xu, Mayumi Nagashimada, Hitoshi Ando, Hirofumi Misu, Guanliang Chen and Seiichiro Kurita. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.