Masayasu Jo
Impact in
-
- Tannin, Tannase and Anticancer Activities
- Hepatology top 10%
- Liver Diseases and Immunity
- Liver physiology and pathology
- Liver Disease and Transplantation
Papers in
-
- TGF-β signaling in diseases 1
-
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Yoshito Itoh (9 shared papers)Taichiro Nishikawa (8 shared papers)Tomoki Nakajima (7 shared papers)Hiroyuki Kimura (4 shared papers)Tatsuo Katagishi (4 shared papers)Takeshi Okanoue (4 shared papers)Keizo Kagawa (5 shared papers)Michihisa Moriguchi (3 shared papers)
- Journals
- Liver International (2 papers)Pathology International (2 papers)Journal of Hepatology (1 paper)Cancer Letters (1 paper)Journal of Korean Medical Science (1 paper)
- Partner nations
- JapanSouth KoreaCanada
In The Last Decade
Masayasu Jo
11 papers receiving 441 citations
Peers
Comparison fields: 5 of 76
- Applied Microbiology and Biotechnology 25
- Hepatology 97
- Biochemistry 55
- Drug Discovery 1
- Pathology and Forensic Medicine 83
Countries citing papers authored by Masayasu Jo
This map shows the geographic impact of Masayasu Jo'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 Masayasu Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayasu Jo more than expected).
Fields of papers citing papers by Masayasu Jo
This network shows the impact of papers produced by Masayasu Jo. 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 Masayasu Jo. The network helps show where Masayasu Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Masayasu Jo, 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 | 2005 | 146 | |
| 2 | 2006 | 53 | |
| 3 | 2012 | 52 | |
| 4 | 2011 | 40 | |
| 5 | 2010 | 39 | |
| 6 | 2009 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2008 | 26 | |
| 9 | 2014 | 24 | |
| 10 | 2002 | 8 | |
| 11 | 2011 | 7 | |
| 12 | 2024 | 0 | |
| 13 | 2014 | 0 |
About Masayasu Jo
Masayasu Jo is a scholar working on Molecular Biology, Epidemiology, Oncology, Surgery and Physiology, having authored 13 papers that have together received 452 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Telomeres, Telomerase, and Senescence (3 papers), Colorectal Cancer Screening and Detection (3 papers), Cancer, Lipids, and Metabolism (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (25 citations), Hepatology (97 citations), Biochemistry (55 citations), Drug Discovery (1 citation) and Pathology and Forensic Medicine (83 citations). Masayasu Jo has collaborated with scholars based in Japan, South Korea and Canada. Frequent co-authors include Yoshito Itoh, Taichiro Nishikawa, Tomoki Nakajima, Hiroyuki Kimura, Tatsuo Katagishi, Takeshi Okanoue, Keizo Kagawa, Michihisa Moriguchi, Satoru Sekoguchi and Hidetaka Takashima. Their work appears in journals such as Liver International, Pathology International, Journal of Hepatology, Cancer Letters and Journal of Korean Medical Science.
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.