Jun Akaike
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
Papers in
- Hepatology 23
- Liver Disease and Transplantation 19
- Hepatitis C virus research 3
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- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 2
- Co-authors
- Takahiro Sato (24 shared papers)Takumi Ohmura (24 shared papers)Yoshiyasu Karino (25 shared papers)Katsu Yamazaki (21 shared papers)Jouji Toyota (20 shared papers)Yasuaki Kuwata (13 shared papers)Toshihiro Suga (9 shared papers)J. Toyota (2 shared papers)
- Journals
- Journal of Gastroenterology (6 papers)Digestive Endoscopy (5 papers)Hepatology Research (4 papers)The American Journal of Gastroenterology (2 papers)Hepatology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Akaike
31 papers receiving 374 citations
Peers
Comparison fields: 5 of 32
- Hepatology 276
- Gastroenterology 97
- Epidemiology 176
- Surgery 167
- Rheumatology 16
Countries citing papers authored by Jun Akaike
This map shows the geographic impact of Jun Akaike'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 Jun Akaike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Akaike more than expected).
Fields of papers citing papers by Jun Akaike
This network shows the impact of papers produced by Jun Akaike. 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 Jun Akaike. The network helps show where Jun Akaike may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Akaike, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 77 | |
| 2 | 2011 | 49 | |
| 3 | 2009 | 29 | |
| 4 | 2010 | 28 | |
| 5 | 2004 | 24 | |
| 6 | 2011 | 22 | |
| 7 | 2007 | 20 | |
| 8 | 2005 | 20 | |
| 9 | 2006 | 16 | |
| 10 | 2007 | 14 | |
| 11 | 2010 | 10 | |
| 12 | 1998 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2005 | 9 | |
| 15 | 2006 | 8 | |
| 16 | 2001 | 7 | |
| 17 | 2003 | 6 | |
| 18 | 2009 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2008 | 4 |
About Jun Akaike
Jun Akaike is a scholar working on Hepatology, Epidemiology, Surgery, Gastroenterology and Rheumatology, having authored 33 papers that have together received 398 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (19 papers), Liver Disease Diagnosis and Treatment (4 papers), Gastrointestinal Bleeding Diagnosis and Treatment (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Hepatitis C virus research (3 papers), Gastrointestinal disorders and treatments (3 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (276 citations), Gastroenterology (97 citations), Epidemiology (176 citations), Surgery (167 citations) and Rheumatology (16 citations). Jun Akaike has collaborated with scholars based in Japan and United States. Frequent co-authors include Takahiro Sato, Takumi Ohmura, Yoshiyasu Karino, Katsu Yamazaki, Jouji Toyota, Yasuaki Kuwata, Toshihiro Suga, J. Toyota, Tetsuya Suga and Kosuke Yamazaki. Their work appears in journals such as Journal of Gastroenterology, Digestive Endoscopy, Hepatology Research, The American Journal of Gastroenterology and Hepatology.
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.