Dan Nakano
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
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- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
Papers in
- Hepatology 18
- Liver Disease and Transplantation 10
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Liver Diseases and Immunity 5
- Hepatitis C virus research 4
- Epidemiology 29
- Liver Disease Diagnosis and Treatment 28
- Co-authors
- Takumi KawaguchiTakuji TorimuraTsubasa TsutsumiSakura YamamuraJacob GeorgeMohammed EslamHirokazu TakahashiShinobu Yoshinaga
- Journals
- Hepatology Research (13 papers)Clinical and Molecular Hepatology (3 papers)Cancers (2 papers)Liver International (1 paper)Seminars in Liver Disease (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Dan Nakano
41 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Hepatology 387
- Endocrinology, Diabetes and Metabolism 479
- Epidemiology 910
- Pathology and Forensic Medicine 265
- Geriatrics and Gerontology 33
Countries citing papers authored by Dan Nakano
This map shows the geographic impact of Dan Nakano'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 Dan Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Nakano more than expected).
Fields of papers citing papers by Dan Nakano
This network shows the impact of papers produced by Dan Nakano. 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 Dan Nakano. The network helps show where Dan Nakano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Nakano, 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 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 62 | |
| 13 | 2021 | 113 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 44 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 37 | |
| 20 | 2018 | 28 |
About Dan Nakano
Dan Nakano is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Gastroenterology and Geriatrics and Gerontology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (28 papers), Diet, Metabolism, and Disease (10 papers), Liver Disease and Transplantation (10 papers), Nutrition and Health in Aging (7 papers), Alcohol Consumption and Health Effects (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver Diseases and Immunity (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (387 citations), Endocrinology, Diabetes and Metabolism (479 citations), Epidemiology (910 citations), Pathology and Forensic Medicine (265 citations) and Geriatrics and Gerontology (33 citations). Dan Nakano has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takumi Kawaguchi, Takuji Torimura, Tsubasa Tsutsumi, Sakura Yamamura, Jacob George, Mohammed Eslam, Hirokazu Takahashi, Shinobu Yoshinaga, Keizo Anzai and Hironori Koga. Their work appears in journals such as Hepatology Research, Clinical and Molecular Hepatology, Cancers, Liver International and Seminars in Liver Disease.
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.