Akihisa Imagawa
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- Diabetes Management and Research 95
- Diabetes Treatment and Management 23
- Diabetes, Cardiovascular Risks, and Lipoproteins 11
- Genetics top 0.2%
- Diabetes and associated disorders 108
- Surgery top 0.5%
- Pancreatic function and diabetes 87
- Immunology top 2%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 9
- Oncology top 5%
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- Metabolism, Diabetes, and Cancer 14
- Co-authors
- Toshiaki HanafusaYūji MatsuzawaHiromi IwahashiJun‐ichiro MiyagawaIichiro ShimomuraTetsuro KobayashiNaoto ItohHideichi Makino
- Journals
- New England Journal of Medicine (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Akihisa Imagawa
179 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 3.1k
- Genetics 3.5k
- Surgery 3.1k
- Immunology 929
- Oncology 526
Countries citing papers authored by Akihisa Imagawa
This map shows the geographic impact of Akihisa Imagawa'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 Akihisa Imagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihisa Imagawa more than expected).
Fields of papers citing papers by Akihisa Imagawa
This network shows the impact of papers produced by Akihisa Imagawa. 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 Akihisa Imagawa. The network helps show where Akihisa Imagawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akihisa Imagawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 4 | |
| 9 | 2019 | 39 | |
| 10 | A case of fulminant type 1 diabetes patient accompanied by hyperinsulinemic hypoglycemia prior to clinical diagnosis of diabetes | 2016 | 4 |
| 11 | 2013 | 92 | |
| 12 | 2013 | 6 | |
| 13 | 2011 | 39 | |
| 14 | 2008 | 10 | |
| 15 | 2007 | 8 | |
| 16 | 2007 | 27 | |
| 17 | 2006 | 15 | |
| 18 | 2005 | 1 | |
| 19 | Different contribution of class II HLA in Fulminant type 1 diabetes mellitus | 2005 | 0 |
| 20 | 2005 | 92 |
About Akihisa Imagawa
Akihisa Imagawa is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 187 papers that have together received 5.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (108 papers), Diabetes Management and Research (95 papers), Pancreatic function and diabetes (87 papers), Diabetes Treatment and Management (23 papers), Metabolism, Diabetes, and Cancer (14 papers), Immune Cell Function and Interaction (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Genetics (3.5k citations) and Surgery (3.1k citations). Akihisa Imagawa has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Toshiaki Hanafusa, Yūji Matsuzawa, Hiromi Iwahashi, Jun‐ichiro Miyagawa, Iichiro Shimomura, Tetsuro Kobayashi, Naoto Itoh, Hideichi Makino, Eiji Kawasaki and Junji Kozawa. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.