Atsushi Sugimura
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Surgery top 2%
- Organ Transplantation Techniques and Outcomes
- Pancreatic function and diabetes
Papers in
-
- Fibroblast Growth Factor Research 2
- Genetics 5
- Estrogen and related hormone effects 2
- Animal Genetics and Reproduction 1
- Co-authors
- Manabu Shimonishi (3 shared papers)Tatsuya Seki (3 shared papers)Shin Shimizu (4 shared papers)Tsutomu Nishizawa (2 shared papers)Kosuke Tashiro (1 shared paper)Michio Hagiya (2 shared papers)Toshikazu Nakamura (1 shared paper)Osamu Asami (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Applied Microbiology and Biotechnology (1 paper)Nature (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Atsushi Sugimura
13 papers receiving 2.2k citations
Atsushi Sugimura's Hit Papers
Peers
Comparison fields: 5 of 91
- Hepatology 1.5k
- Surgery 857
- Cancer Research 185
- Molecular Biology 793
- Epidemiology 328
Countries citing papers authored by Atsushi Sugimura
This map shows the geographic impact of Atsushi Sugimura'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 Atsushi Sugimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Sugimura more than expected).
Fields of papers citing papers by Atsushi Sugimura
This network shows the impact of papers produced by Atsushi Sugimura. 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 Atsushi Sugimura. The network helps show where Atsushi Sugimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Atsushi Sugimura, 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 | Molecular cloning and expression of human hepatocyte growth factor Hit paper breakdown → | 1989 | 1897 |
| 2 | 1990 | 165 | |
| 3 | 1999 | 70 | |
| 4 | 1997 | 68 | |
| 5 | 2015 | 12 | |
| 6 | 2008 | 12 | |
| 7 | 2003 | 10 | |
| 8 | 2004 | 7 | |
| 9 | 2009 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2008 | 3 | |
| 12 | 1998 | 1 | |
| 13 | 1991 | 1 |
About Atsushi Sugimura
Atsushi Sugimura is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Surgery, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (2 papers), Platelet Disorders and Treatments (2 papers), Fibroblast Growth Factor Research (2 papers), Estrogen and related hormone effects (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Pancreatic function and diabetes (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Hepatology (1.5k citations), Surgery (857 citations), Cancer Research (185 citations), Molecular Biology (793 citations) and Epidemiology (328 citations). Atsushi Sugimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Manabu Shimonishi, Tatsuya Seki, Shin Shimizu, Tsutomu Nishizawa, Kosuke Tashiro, Michio Hagiya, Toshikazu Nakamura, Osamu Asami, Izumi Ihara and T Nagasawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Applied Microbiology and Biotechnology, Nature, PLoS ONE and Proceedings of the National Academy of 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.