Tomoyuki Takashima
- Hepatology top 1%
- Liver Disease and Transplantation 40
- Hepatitis C virus research 21
- Liver Diseases and Immunity 9
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 65
- Hepatitis B Virus Studies 19
- Geriatrics and Gerontology top 5%
- Physiology top 5%
- Nutrition and Health in Aging 31
- Nutrition and Dietetics top 5%
- Clinical Nutrition and Gastroenterology 5
- Co-authors
- Hiroko IijimaNobuhiro AizawaHirayuki EnomotoNaoto IkedaYoshiyuki SakaiShuhei NishiguchiYoshinori IwataTakashi Nishimura
- Journals
- SHILAP Revista de lepidopterología (1 paper)Biochemical and Biophysical Research Communications (1 paper)International Journal of Molecular Sciences (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomoyuki Takashima
93 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Hepatology 736
- Epidemiology 767
- Geriatrics and Gerontology 82
- Physiology 468
- Nutrition and Dietetics 169
Countries citing papers authored by Tomoyuki Takashima
This map shows the geographic impact of Tomoyuki Takashima'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 Tomoyuki Takashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Takashima more than expected).
Fields of papers citing papers by Tomoyuki Takashima
This network shows the impact of papers produced by Tomoyuki Takashima. 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 Tomoyuki Takashima. The network helps show where Tomoyuki Takashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoyuki Takashima, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 27 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 16 | |
| 13 | 2016 | 31 | |
| 14 | 2016 | 0 | |
| 15 | 2014 | 10 | |
| 16 | 2014 | 27 | |
| 17 | 2013 | 35 | |
| 18 | 2012 | 11 | |
| 19 | An experimental study of the relation between the variables that skilled operators fix and safety variables in a model plant | 2009 | 1 |
| 20 | 2002 | 1 |
About Tomoyuki Takashima
Tomoyuki Takashima is a scholar working on Hepatology, Epidemiology and Physiology, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (65 papers), Liver Disease and Transplantation (40 papers), Nutrition and Health in Aging (31 papers), Hepatitis C virus research (21 papers), Hepatitis B Virus Studies (19 papers), Liver Diseases and Immunity (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Clinical Nutrition and Gastroenterology (5 papers). The work is most often cited by research in Hepatology (736 citations), Epidemiology (767 citations) and Geriatrics and Gerontology (82 citations). Tomoyuki Takashima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroko Iijima, Nobuhiro Aizawa, Hirayuki Enomoto, Naoto Ikeda, Yoshiyuki Sakai, Shuhei Nishiguchi, Yoshinori Iwata, Takashi Nishimura, Kazunori Yoh and Hiroki Nishikawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.