Hideto Kojima
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- Diabetes Management and Research 12
- Diet, Metabolism, and Disease 10
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Biochemistry top 1%
- Surgery top 1%
- Pancreatic function and diabetes 23
- Physiology top 2%
- Pain Mechanisms and Treatments 10
- Neurology top 5%
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- Metabolism, Diabetes, and Cancer 14
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- Nerve injury and regeneration 11
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- Diabetes and associated disorders 10
- Co-authors
- Lawrence ChanMineko FujimiyaHideki HidakaTomoya TerashimaHiroshi MaegawaKazuhiro MatsumuraRyuichi KikkawaAtsunori Kashiwagi
- Journals
- Diabetologia (6 papers)Diabetes (5 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hideto Kojima
110 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 917
- Biochemistry 325
- Surgery 1.9k
- Physiology 945
- Neurology 258
Countries citing papers authored by Hideto Kojima
This map shows the geographic impact of Hideto Kojima'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 Hideto Kojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideto Kojima more than expected).
Fields of papers citing papers by Hideto Kojima
This network shows the impact of papers produced by Hideto Kojima. 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 Hideto Kojima. The network helps show where Hideto Kojima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideto Kojima, 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 | 2023 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 52 | |
| 7 | 2015 | 5 | |
| 8 | 2014 | 28 | |
| 9 | 2012 | 36 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 137 | |
| 12 | 2004 | 91 | |
| 13 | 2003 | 19 | |
| 14 | 2003 | 331 | |
| 15 | 2002 | 247 | |
| 16 | 2001 | 25 | |
| 17 | Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorptionbreakdown → | 2001 | 541 |
| 18 | 2000 | 11 | |
| 19 | 1999 | 15 | |
| 20 | 1996 | 1 |
About Hideto Kojima
Hideto Kojima is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Genetics, having authored 111 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Metabolism, Diabetes, and Cancer (14 papers), Diabetes Management and Research (12 papers), Nerve injury and regeneration (11 papers), Diabetes and associated disorders (10 papers), Diet, Metabolism, and Disease (10 papers), Pain Mechanisms and Treatments (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (917 citations), Biochemistry (325 citations) and Surgery (1.9k citations). Hideto Kojima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Lawrence Chan, Mineko Fujimiya, Hideki Hidaka, Tomoya Terashima, Hiroshi Maegawa, Kazuhiro Matsumura, Ryuichi Kikkawa, Atsunori Kashiwagi, Miwako Katagi and Yoshihiko Nishio. Their work appears in journals such as Diabetologia, Diabetes, Biochemical and Biophysical Research Communications, Scientific Reports and Journal of Biological Chemistry.
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.