Suguru Takeuchi
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 7
- Cytomegalovirus and herpesvirus research 6
- Respiratory viral infections research 5
- Pneumonia and Respiratory Infections 4
- Hepatology 11
- Liver physiology and pathology 5
- Liver Disease and Transplantation 4
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Shuji Terai (14 shared papers)Atsunori Tsuchiya (13 shared papers)Kazuhiro Horiba (16 shared papers)Takayuki Watanabe (6 shared papers)Masahiro Ogawa (7 shared papers)Yoshinori Ito (10 shared papers)Shunsuke Nojiri (6 shared papers)Jun‐ichi Kawada (11 shared papers)
In The Last Decade
Suguru Takeuchi
35 papers receiving 588 citations
Peers
Comparison fields: 5 of 81
- Hepatology 111
- Genetics 105
- Cancer Research 104
- Epidemiology 206
- Infectious Diseases 106
Countries citing papers authored by Suguru Takeuchi
This map shows the geographic impact of Suguru Takeuchi'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 Suguru Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguru Takeuchi more than expected).
Fields of papers citing papers by Suguru Takeuchi
This network shows the impact of papers produced by Suguru Takeuchi. 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 Suguru Takeuchi. The network helps show where Suguru Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Suguru Takeuchi, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2019 | 82 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 63 | |
| 5 | 2019 | 40 | |
| 6 | 2019 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 17 | |
| 10 | 2013 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2011 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2016 | 6 |
About Suguru Takeuchi
Suguru Takeuchi is a scholar working on Epidemiology, Hepatology, Molecular Biology, Infectious Diseases and Oncology, having authored 39 papers that have together received 599 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Liver physiology and pathology (5 papers), Respiratory viral infections research (5 papers), Pneumonia and Respiratory Infections (4 papers), Extracellular vesicles in disease (4 papers), Liver Disease and Transplantation (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (111 citations), Genetics (105 citations), Cancer Research (104 citations), Epidemiology (206 citations) and Infectious Diseases (106 citations). Suguru Takeuchi has collaborated with scholars based in Japan, Sweden and Iran. Frequent co-authors include Shuji Terai, Atsunori Tsuchiya, Kazuhiro Horiba, Takayuki Watanabe, Masahiro Ogawa, Yoshinori Ito, Shunsuke Nojiri, Jun‐ichi Kawada, Yuka Torii and Toshihiko Okumura. Their work appears in journals such as Inflammation and Regeneration, Journal of Medical Virology, Biochemical and Biophysical Research Communications, Scientific Reports and Hepatology International.
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.