Wataru Nishida
- Molecular Biology top 10%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Kenji SobueKen’ichiro HayashiKunio HiwadaKatsuhiko KoharaHaruhiko OsawaHiroshi OnumaMotofumi MaguchiMasanori Takahashi
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (18 papers)Regulation of Appetite and Obesity (11 papers)Adipose Tissue and Metabolism (10 papers)
- Cited by
- Endocrine and Autonomic SystemsCardiology and Cardiovascular MedicineImmunology and Allergy
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Wataru Nishida
61 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.2k
- Epidemiology 620
- Cardiology and Cardiovascular Medicine 564
- Physiology 546
- Endocrine and Autonomic Systems 321
Countries citing papers authored by Wataru Nishida
This map shows the geographic impact of Wataru Nishida'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 Wataru Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Nishida more than expected).
Fields of papers citing papers by Wataru Nishida
This network shows the impact of papers produced by Wataru Nishida. 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 Wataru Nishida. The network helps show where Wataru Nishida may publish in the future.
Co-authorship network of co-authors of Wataru Nishida
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Nishida. A scholar is included among the top collaborators of Wataru Nishida 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 Wataru Nishida. Wataru Nishida 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 | 33 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 60 | |
| 6 | 41 | |
| 7 | 34 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 20 | |
| 12 | 7 | |
| 13 | 77 | |
| 14 | 199 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | A homeodomain protein, Barx and serum response factor (SRF) regulate transcription of β-tropomyosin gene in the smooth muscle cells. | 1 |
| 18 | 43 | |
| 19 | 66 | |
| 20 | 50 |
About Wataru Nishida
Wataru Nishida is a scholar working on Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (18 papers), Regulation of Appetite and Obesity (11 papers) and Adipose Tissue and Metabolism (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (321 citations), Cardiology and Cardiovascular Medicine (564 citations) and Immunology and Allergy (138 citations). Wataru Nishida has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Kenji Sobue, Ken’ichiro Hayashi, Kunio Hiwada, Katsuhiko Kohara, Haruhiko Osawa, Hiroshi Onuma, Motofumi Maguchi, Masanori Takahashi, Hideichi Makino and Masaaki Ochi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.