Dai Chida
Impact in
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- Regulation of Appetite and Obesity
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in ⓘ
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- Receptor Mechanisms and Signaling 3
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- Adipose Tissue and Metabolism 5
- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Yoichiro Iwakura (10 shared papers)Atsushi Miyajima (4 shared papers)Okito Hashimoto (2 shared papers)Toshimasa Osaka (2 shared papers)Tsuyoshi Sato (9 shared papers)Tetsuya Yoda (7 shared papers)Harumi Suzuki (4 shared papers)Akihiko Yoshimura (2 shared papers)
- Journals
- Endocrinology (5 papers)Biochemical and Biophysical Research Communications (3 papers)Blood (2 papers)FEBS Letters (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Dai Chida
27 papers receiving 642 citations
Peers
Comparison fields: 5 of 83
- Endocrine and Autonomic Systems 112
- Behavioral Neuroscience 58
- Endocrinology, Diabetes and Metabolism 113
- Immunology 131
- Physiology 129
Countries citing papers authored by Dai Chida
This map shows the geographic impact of Dai Chida'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 Dai Chida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Chida more than expected).
Fields of papers citing papers by Dai Chida
This network shows the impact of papers produced by Dai Chida. 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 Dai Chida. The network helps show where Dai Chida may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Chida, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 125 | |
| 2 | 2006 | 78 | |
| 3 | 2010 | 76 | |
| 4 | 1999 | 46 | |
| 5 | 1997 | 32 | |
| 6 | 2004 | 30 | |
| 7 | 2009 | 26 | |
| 8 | 1998 | 24 | |
| 9 | 2011 | 22 | |
| 10 | 2008 | 21 | |
| 11 | 1995 | 20 | |
| 12 | 2005 | 17 | |
| 13 | 2008 | 16 | |
| 14 | 1996 | 13 | |
| 15 | 2015 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2007 | 11 | |
| 20 | 2010 | 10 |
About Dai Chida
Dai Chida is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Epidemiology and Immunology, having authored 27 papers that have together received 651 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Stress Responses and Cortisol (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Receptor Mechanisms and Signaling (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (112 citations), Behavioral Neuroscience (58 citations), Endocrinology, Diabetes and Metabolism (113 citations), Immunology (131 citations) and Physiology (129 citations). Dai Chida has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yoichiro Iwakura, Atsushi Miyajima, Okito Hashimoto, Toshimasa Osaka, Tsuyoshi Sato, Tetsuya Yoda, Harumi Suzuki, Akihiko Yoshimura, Shigeru Kakuta and Hiroshi Wakao. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Blood, FEBS Letters and Scientific Reports.
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.