Naoki Nakashima
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
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- Clinical practice guidelines implementation 12
- Telemedicine and Telehealth Implementation 11
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- Metabolism, Diabetes, and Cancer 7
- Co-authors
- Jerrold M. Olefsky (6 shared papers)Hajime Nawata (9 shared papers)Toyoshi Inoguchi (11 shared papers)Kunihisa Kobayashi (12 shared papers)Prem M. Sharma (3 shared papers)Yasunobu Nohara (34 shared papers)Minako Imamura (3 shared papers)Takeshi Imamura (2 shared papers)
- Journals
- Journal of Clinical Microbiology (5 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Methods of Information in Medicine (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naoki Nakashima
175 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 161
- Biochemistry 255
- Health Information Management 108
- Health Informatics 28
- Endocrinology, Diabetes and Metabolism 284
- Physiology 434
Countries citing papers authored by Naoki Nakashima
This map shows the geographic impact of Naoki Nakashima'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 Naoki Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Nakashima more than expected).
Fields of papers citing papers by Naoki Nakashima
This network shows the impact of papers produced by Naoki Nakashima. 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 Naoki Nakashima. The network helps show where Naoki Nakashima may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Nakashima, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 239 | |
| 2 | 2009 | 183 | |
| 3 | 2000 | 156 | |
| 4 | 1999 | 136 | |
| 5 | 1999 | 89 | |
| 6 | 2008 | 86 | |
| 7 | 1994 | 75 | |
| 8 | 1998 | 70 | |
| 9 | 2004 | 68 | |
| 10 | 1996 | 68 | |
| 11 | 1998 | 64 | |
| 12 | 2000 | 63 | |
| 13 | 1998 | 57 | |
| 14 | 1997 | 56 | |
| 15 | 2019 | 56 | |
| 16 | 1999 | 52 | |
| 17 | 1988 | 51 | |
| 18 | 2020 | 50 | |
| 19 | 2011 | 46 | |
| 20 | 2001 | 46 |
About Naoki Nakashima
Naoki Nakashima is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology, Surgery and Health Information Management, having authored 194 papers that have together received 3.1k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (12 papers), Electronic Health Records Systems (12 papers), Mobile Health and mHealth Applications (11 papers), Artificial Intelligence in Healthcare (11 papers), Telemedicine and Telehealth Implementation (11 papers), Acute Ischemic Stroke Management (9 papers), Context-Aware Activity Recognition Systems (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Biochemistry (255 citations), Health Information Management (108 citations), Health Informatics (28 citations), Endocrinology, Diabetes and Metabolism (284 citations) and Physiology (434 citations). Naoki Nakashima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jerrold M. Olefsky, Hajime Nawata, Toyoshi Inoguchi, Kunihisa Kobayashi, Prem M. Sharma, Yasunobu Nohara, Minako Imamura, Takeshi Imamura, T Nagasaka and Katsuya Egawa. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, Scientific Reports, The Journal of Clinical Endocrinology & Metabolism and Methods of Information in Medicine.
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.