Yoichi Inada
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Liver Diseases and Immunity
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- Liver Disease Diagnosis and Treatment
Papers in
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- Receptor Mechanisms and Signaling 5
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- Renin-Angiotensin System Studies 4
- Co-authors
- Yoshinobu Yamazaki (4 shared papers)Nobuo Shibata (4 shared papers)Shigeru Nakano (4 shared papers)Kazuyasu Maruyama (3 shared papers)Junji Kuroda (3 shared papers)Tatsuya Nagasawa (2 shared papers)Toru Tamura (2 shared papers)Hiroshi Kusama (3 shared papers)
- Journals
- Clinical and Experimental Pharmacology and Physiology (4 papers)European Journal of Pharmacology (3 papers)Hepatology Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Blood (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Yoichi Inada
30 papers receiving 532 citations
Peers
Comparison fields: 5 of 77
- Hepatology 93
- Epidemiology 232
- Endocrinology, Diabetes and Metabolism 104
- Biochemistry 37
- Oncology 95
Countries citing papers authored by Yoichi Inada
This map shows the geographic impact of Yoichi Inada'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 Yoichi Inada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Inada more than expected).
Fields of papers citing papers by Yoichi Inada
This network shows the impact of papers produced by Yoichi Inada. 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 Yoichi Inada. The network helps show where Yoichi Inada may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoichi Inada, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 199 | |
| 2 | 2004 | 51 | |
| 3 | 2008 | 34 | |
| 4 | 2006 | 32 | |
| 5 | 2006 | 28 | |
| 6 | 2007 | 24 | |
| 7 | 2021 | 21 | |
| 8 | 2007 | 19 | |
| 9 | 1991 | 15 | |
| 10 | 2004 | 13 | |
| 11 | 2001 | 13 | |
| 12 | 1999 | 11 | |
| 13 | 2001 | 9 | |
| 14 | 2000 | 8 | |
| 15 | 2002 | 8 | |
| 16 | 1995 | 7 | |
| 17 | 2002 | 6 | |
| 18 | 2014 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2002 | 5 |
About Yoichi Inada
Yoichi Inada is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 548 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Renin-Angiotensin System Studies (4 papers), CAR-T cell therapy research (4 papers), Advanced X-ray Imaging Techniques (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Plasma Applications and Diagnostics (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (93 citations), Epidemiology (232 citations), Endocrinology, Diabetes and Metabolism (104 citations), Biochemistry (37 citations) and Oncology (95 citations). Yoichi Inada has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshinobu Yamazaki, Nobuo Shibata, Shigeru Nakano, Kazuyasu Maruyama, Junji Kuroda, Tatsuya Nagasawa, Toru Tamura, Hiroshi Kusama, Tokio Nakane and Shigetoshi Chiba. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, European Journal of Pharmacology, Hepatology Research, Biochemical and Biophysical Research Communications and Blood.
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.