Tetsuo Nishikawa
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 1%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Co-authors
- Masao OmuraJun SaitoTosiyuki NogutiN. GōKunio YamaguchiHironobu SasanoYukio KakutaFumitoshi Satoh
- Topics
- Hormonal Regulation and Hypertension (95 papers)Adrenal and Paraganglionic Tumors (67 papers)Adrenal Hormones and Disorders (31 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Tetsuo Nishikawa
229 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 2.7k
- Surgery 2.6k
- Molecular Biology 1.4k
- Cardiology and Cardiovascular Medicine 581
- Physiology 389
Countries citing papers authored by Tetsuo Nishikawa
This map shows the geographic impact of Tetsuo Nishikawa'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 Tetsuo Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Nishikawa more than expected).
Fields of papers citing papers by Tetsuo Nishikawa
This network shows the impact of papers produced by Tetsuo Nishikawa. 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 Tetsuo Nishikawa. The network helps show where Tetsuo Nishikawa may publish in the future.
Co-authorship network of co-authors of Tetsuo Nishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Nishikawa. A scholar is included among the top collaborators of Tetsuo Nishikawa 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 Tetsuo Nishikawa. Tetsuo Nishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | Genetics, prevalence, screening and confirmation of primary aldosteronism: a position statement and consensus of the Working Group on Endocrine Hypertension of The European Society of Hypertension ∗breakdown → | 180 |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 36 | |
| 14 | スカラー場の理論の熱サンセット(sunset)ダイアグラム | 1 |
| 15 | An Integrated Database of Interaction between Human Proteins and Commonly Used Drugs | 1 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 0 |
About Tetsuo Nishikawa
Tetsuo Nishikawa is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Behavioral Neuroscience, having authored 241 papers that have together received 5.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (95 papers), Adrenal and Paraganglionic Tumors (67 papers) and Adrenal Hormones and Disorders (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Surgery (2.6k citations) and Cardiology and Cardiovascular Medicine (581 citations). Tetsuo Nishikawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masao Omura, Jun Saito, Tosiyuki Noguti, N. Gō, Kunio Yamaguchi, Hironobu Sasano, Yukio Kakuta, Fumitoshi Satoh, Hirotaka Shibata and Takao Isogai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.