Jun Akiba
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Ophthalmology top 0.5%
- Retinal Diseases and Treatments
Papers in
- Co-authors
- Hirohisa Yano (129 shared papers)Akitoshi Yoshida (18 shared papers)Sachiko Ogasawara (55 shared papers)Clement L. Trempe (14 shared papers)Akihiko Kawahara (83 shared papers)Taiichi Hikichi (16 shared papers)Masamichi Kojiro (18 shared papers)Yoshiki Naito (67 shared papers)
- Journals
- Anticancer Research (25 papers)Ophthalmic surgery, lasers & imaging retina (9 papers)Diagnostic Cytopathology (8 papers)Hepatology Research (8 papers)Retina (7 papers)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Jun Akiba
282 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 120
- Hepatology 607
- Ophthalmology 551
- Oncology 1.3k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Cancer Research 641
Countries citing papers authored by Jun Akiba
This map shows the geographic impact of Jun Akiba'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 Akiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Akiba more than expected).
Fields of papers citing papers by Jun Akiba
This network shows the impact of papers produced by Jun Akiba. 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 Akiba. The network helps show where Jun Akiba may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Akiba, 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 312 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 242 | |
| 2 | 2018 | 187 | |
| 3 | 2019 | 165 | |
| 4 | 1997 | 139 | |
| 5 | 2006 | 133 | |
| 6 | 1999 | 120 | |
| 7 | 2008 | 118 | |
| 8 | 2013 | 113 | |
| 9 | 2012 | 108 | |
| 10 | 1993 | 99 | |
| 11 | 2007 | 89 | |
| 12 | 2001 | 87 | |
| 13 | 1990 | 83 | |
| 14 | 2000 | 83 | |
| 15 | 2013 | 78 | |
| 16 | 2019 | 72 | |
| 17 | 2001 | 69 | |
| 18 | 2016 | 66 | |
| 19 | 1999 | 64 | |
| 20 | 1999 | 64 |
About Jun Akiba
Jun Akiba is a scholar working on Oncology, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 312 papers that have together received 5.6k indexed citations. Recurring topics across this work include Retinal and Macular Surgery (39 papers), Salivary Gland Tumors Diagnosis and Treatment (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Cancer Immunotherapy and Biomarkers (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Intraocular Surgery and Lenses (15 papers), Ear and Head Tumors (14 papers) and Pancreatic and Hepatic Oncology Research (13 papers). The work is most often cited by research in Hepatology (607 citations), Ophthalmology (551 citations), Oncology (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Cancer Research (641 citations). Jun Akiba has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Hirohisa Yano, Akitoshi Yoshida, Sachiko Ogasawara, Clement L. Trempe, Akihiko Kawahara, Taiichi Hikichi, Masamichi Kojiro, Yoshiki Naito, Akihiro Kakehashi and S Konno. Their work appears in journals such as Anticancer Research, Ophthalmic surgery, lasers & imaging retina, Diagnostic Cytopathology, Hepatology Research and Retina.
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.