Naoto Nakamura
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- Hormonal and reproductive studies 18
- Diabetes, Cardiovascular Risks, and Lipoproteins 17
- Diabetes Management and Research 12
- Nephrology top 2%
- Biochemistry top 2%
- Periodontics top 2%
- Reproductive Medicine top 2%
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- Cardiovascular Health and Disease Prevention 26
- Blood Pressure and Hypertension Studies 22
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- Pancreatic function and diabetes 15
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- Liver Disease Diagnosis and Treatment 14
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- Diabetes and associated disorders 13
- Co-authors
- Goji HasegawaMichiaki FukuiToshikazu YoshikawaHiroshi ObayashiMitsuhiro OhtaMasahiro YamazakiMai AsanoMuhei Tanaka
- Journals
- JAMA (1 paper)The Journal of Experimental Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Naoto Nakamura
181 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 140
- Endocrinology, Diabetes and Metabolism 1.3k
- Nephrology 342
- Biochemistry 257
- Periodontics 175
- Reproductive Medicine 302
Countries citing papers authored by Naoto Nakamura
This map shows the geographic impact of Naoto Nakamura'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 Naoto Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Nakamura more than expected).
Fields of papers citing papers by Naoto Nakamura
This network shows the impact of papers produced by Naoto Nakamura. 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 Naoto Nakamura. The network helps show where Naoto Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoto Nakamura, 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 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2015 | 5 | |
| 5 | 2014 | 21 | |
| 6 | 2012 | 11 | |
| 7 | 2012 | 19 | |
| 8 | 2010 | 8 | |
| 9 | 2010 | 153 | |
| 10 | 2009 | 38 | |
| 11 | Active haptic perception of stiffness:Reexamination of cues and models | 2008 | 0 |
| 12 | 2008 | 24 | |
| 13 | 2008 | 6 | |
| 14 | 2008 | 102 | |
| 15 | 2007 | 4 | |
| 16 | 2007 | 7 | |
| 17 | 2005 | 26 | |
| 18 | 2002 | 28 | |
| 19 | 1987 | 186 | |
| 20 | 1984 | 0 |
About Naoto Nakamura
Naoto Nakamura is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 193 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (26 papers), Blood Pressure and Hypertension Studies (22 papers), Hormonal and reproductive studies (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Pancreatic function and diabetes (15 papers), Liver Disease Diagnosis and Treatment (14 papers), Diabetes and associated disorders (13 papers) and Diabetes Management and Research (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Nephrology (342 citations) and Biochemistry (257 citations). Naoto Nakamura has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Goji Hasegawa, Michiaki Fukui, Toshikazu Yoshikawa, Hiroshi Obayashi, Mitsuhiro Ohta, Masahiro Yamazaki, Mai Asano, Muhei Tanaka, Yoshihiro Kitagawa and Yoshitaka Hashimoto. Their work appears in journals such as JAMA, The Journal of Experimental Medicine 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.