Kaichi Kida
Impact in
-
- Diabetes Management and Research
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 35
- Diabetes and associated disorders 24
-
- Diabetes Management and Research 16
- Co-authors
- Yukikazu Kaino (26 shared papers)Hiroshi Matsuda (16 shared papers)Takuo Ito (19 shared papers)N.J. Bibby (1 shared paper)Yoshinori Goto (17 shared papers)Robert B. Elliott (1 shared paper)Shiva Reddy (1 shared paper)Takehiko Morimoto (7 shared papers)
- Journals
- Diabetes Research and Clinical Practice (11 papers)Brain and Development (5 papers)The Journal of Pediatrics (3 papers)Biochemical Pharmacology (3 papers)Developmental Brain Research (3 papers)
- Partner nations
- JapanCroatiaUnited States
In The Last Decade
Kaichi Kida
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 316
- Genetics 385
- Clinical Biochemistry 83
- Biochemistry 49
- Physiology 168
Countries citing papers authored by Kaichi Kida
This map shows the geographic impact of Kaichi Kida'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 Kaichi Kida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaichi Kida more than expected).
Fields of papers citing papers by Kaichi Kida
This network shows the impact of papers produced by Kaichi Kida. 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 Kaichi Kida. The network helps show where Kaichi Kida may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaichi Kida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 115 | |
| 2 | 1978 | 90 | |
| 3 | 2000 | 56 | |
| 4 | 1992 | 50 | |
| 5 | 1989 | 43 | |
| 6 | 1984 | 42 | |
| 7 | 1987 | 38 | |
| 8 | 2000 | 35 | |
| 9 | 1990 | 31 | |
| 10 | 1997 | 29 | |
| 11 | 1992 | 29 | |
| 12 | 1980 | 29 | |
| 13 | 1994 | 27 | |
| 14 | 1996 | 26 | |
| 15 | 1995 | 25 | |
| 16 | 1996 | 21 | |
| 17 | 2004 | 20 | |
| 18 | 1996 | 18 | |
| 19 | Factors determining outcome in elderly patients with severe COPD on long-term domiciliary oxygen therapy. | 2001 | 18 |
| 20 | 2015 | 16 |
About Kaichi Kida
Kaichi Kida is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Pediatrics, Perinatology and Child Health and Physiology, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (24 papers), Pancreatic function and diabetes (20 papers), Diabetes Management and Research (16 papers), Myasthenia Gravis and Thymoma (8 papers), Metabolism and Genetic Disorders (7 papers), Diet and metabolism studies (5 papers), Peripheral Neuropathies and Disorders (5 papers) and Vitamin K Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (316 citations), Genetics (385 citations), Clinical Biochemistry (83 citations), Biochemistry (49 citations) and Physiology (168 citations). Kaichi Kida has collaborated with scholars based in Japan, Croatia and United States. Frequent co-authors include Yukikazu Kaino, Hiroshi Matsuda, Takuo Ito, N.J. Bibby, Yoshinori Goto, Robert B. Elliott, Shiva Reddy, Takehiko Morimoto, Takashi Nishio and Hachiro Nakagawa. Their work appears in journals such as Diabetes Research and Clinical Practice, Brain and Development, The Journal of Pediatrics, Biochemical Pharmacology and Developmental Brain 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.