Naoto Nagata
- Molecular Biology top 5%
- Epidemiology top 2%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Co-authors
- Tsuguhito OtaShuichi KanekoYinhua NiLiang XuMayumi NagashimadaFen ZhugeHitoshi AndoToshinari Takamura
- Topics
- Liver Disease Diagnosis and Treatment (20 papers)Adipose Tissue and Metabolism (16 papers)Adipokines, Inflammation, and Metabolic Diseases (10 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naoto Nagata
75 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.7k
- Epidemiology 1.4k
- Physiology 1.1k
- Endocrinology, Diabetes and Metabolism 970
- Surgery 613
Countries citing papers authored by Naoto Nagata
This map shows the geographic impact of Naoto Nagata'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 Naoto Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Nagata more than expected).
Fields of papers citing papers by Naoto Nagata
This network shows the impact of papers produced by Naoto Nagata. 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 Naoto Nagata. The network helps show where Naoto Nagata may publish in the future.
Co-authorship network of co-authors of Naoto Nagata
This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Nagata. A scholar is included among the top collaborators of Naoto Nagata 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 Naoto Nagata. Naoto Nagata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 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 |
| 8 | 1 | |
| 9 | 212 | |
| 10 | 48 | |
| 11 | 19 | |
| 12 | 108 | |
| 13 | 35 | |
| 14 | 3 | |
| 15 | 364 | |
| 16 | 22 | |
| 17 | 78 | |
| 18 | 59 | |
| 19 | 21 | |
| 20 | [Effects of induced hypotension on perioperative renal and hepatic functions]. | 4 |
About Naoto Nagata
Naoto Nagata is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Physiology, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Adipose Tissue and Metabolism (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (970 citations), Biochemistry (278 citations) and Physiology (1.1k citations). Naoto Nagata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsuguhito Ota, Shuichi Kaneko, Yinhua Ni, Liang Xu, Mayumi Nagashimada, Fen Zhuge, Hitoshi Ando, Toshinari Takamura, Hirofumi Misu and Seiichiro Kurita. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.