Kazuyuki Hida
- Epidemiology top 5%
- Molecular Biology
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Jun WadaHirofumi MakinoKenichi ShikataYashpal S. KanwarJun EguchiYoshinori TsuchiyamaKeita HiragushiAtsuko Nakatsuka
- Topics
- Adipose Tissue and Metabolism (7 papers)Adipokines, Inflammation, and Metabolic Diseases (6 papers)Chronic Kidney Disease and Diabetes (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kazuyuki Hida
36 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 700
- Molecular Biology 516
- Physiology 487
- Cardiology and Cardiovascular Medicine 336
- Endocrinology, Diabetes and Metabolism 277
Countries citing papers authored by Kazuyuki Hida
This map shows the geographic impact of Kazuyuki Hida'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 Kazuyuki Hida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyuki Hida more than expected).
Fields of papers citing papers by Kazuyuki Hida
This network shows the impact of papers produced by Kazuyuki Hida. 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 Kazuyuki Hida. The network helps show where Kazuyuki Hida may publish in the future.
Co-authorship network of co-authors of Kazuyuki Hida
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyuki Hida. A scholar is included among the top collaborators of Kazuyuki Hida 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 Kazuyuki Hida. Kazuyuki Hida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 62 | |
| 5 | 49 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 22 | |
| 12 | 43 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 62 | |
| 16 | 194 | |
| 17 | 73 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 45 |
About Kazuyuki Hida
Kazuyuki Hida is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Aging, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (178 citations), Epidemiology (700 citations) and Nephrology (143 citations). Kazuyuki Hida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jun Wada, Hirofumi Makino, Kenichi Shikata, Yashpal S. Kanwar, Jun Eguchi, Yoshinori Tsuchiyama, Keita Hiragushi, Atsuko Nakatsuka, Izumi Hashimoto and Masako Baba. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.