T. Nakatsuka
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver Disease and Transplantation 11
- Geriatrics and Gerontology top 2%
- Physiology top 5%
- Oncology top 10%
- Surgery top 10%
- Organ Transplantation Techniques and Outcomes 7
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- Astrophysics and Cosmic Phenomena 21
- Dark Matter and Cosmic Phenomena 12
- Neutrino Physics Research 11
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- Liver Disease Diagnosis and Treatment 18
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- Epigenetics and DNA Methylation 5
- Co-authors
- Kazuhiko KoikeRyosuke TateishiYasuo TanakaYotaro KudoHayato NakagawaYoshinari AsaokaMasaya SatoKoji Uchino
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Oncogene (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
T. Nakatsuka
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Hepatology 334
- Geriatrics and Gerontology 128
- Physiology 413
- Oncology 325
- Surgery 472
Countries citing papers authored by T. Nakatsuka
This map shows the geographic impact of T. Nakatsuka'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 T. Nakatsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nakatsuka more than expected).
Fields of papers citing papers by T. Nakatsuka
This network shows the impact of papers produced by T. Nakatsuka. 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 T. Nakatsuka. The network helps show where T. Nakatsuka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Nakatsuka, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 40 | |
| 13 | Sarcopenia, intramuscular fat deposition, and visceral adiposity independently predict the outcomes of hepatocellular carcinomabreakdown → | 2015 | 544 |
| 14 | 2007 | 2 | |
| 15 | Atmospheric muon measurements I: Vertical measurements | 2001 | 1 |
| 16 | 1999 | 16 | |
| 17 | 1999 | 12 | |
| 18 | 1998 | 12 | |
| 19 | 1998 | 7 | |
| 20 | 1997 | 174 |
About T. Nakatsuka
T. Nakatsuka is a scholar working on Hepatology, Nuclear and High Energy Physics and Epidemiology, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (21 papers), Liver Disease Diagnosis and Treatment (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Dark Matter and Cosmic Phenomena (12 papers), Liver Disease and Transplantation (11 papers), Neutrino Physics Research (11 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Hepatology (334 citations), Geriatrics and Gerontology (128 citations) and Physiology (413 citations). T. Nakatsuka has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuhiko Koike, Ryosuke Tateishi, Yasuo Tanaka, Yotaro Kudo, Hayato Nakagawa, Yoshinari Asaoka, Masaya Sato, Koji Uchino, Tatsuya Minami and Kenichiro Enooku. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.
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.