Jun Imamura
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Molecular Biology top 5%
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- Plant tissue culture and regeneration
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Plant tissue culture and regeneration 12
- Plant Reproductive Biology 10
- Photosynthetic Processes and Mechanisms 7
- Hepatology 24
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Hepatitis C virus research 9
- Co-authors
- Masao Omata (20 shared papers)Fumihiko Kanai (18 shared papers)Junko Kohno‐Murase (6 shared papers)Takao Kawabe (11 shared papers)Takako Sakai (6 shared papers)Nobuya Koizuka (3 shared papers)Shuichiro Shiina (10 shared papers)Haruhiko Yoshida (10 shared papers)
- Journals
- International Journal of Cancer (4 papers)Hepatology International (3 papers)EBioMedicine (3 papers)Cancer Research (3 papers)Plant Science (3 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Jun Imamura
77 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 115
- Hepatology 752
- Molecular Biology 1.9k
- Biochemistry 193
- Plant Science 890
- Epidemiology 719
Countries citing papers authored by Jun Imamura
This map shows the geographic impact of Jun Imamura'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 Imamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Imamura more than expected).
Fields of papers citing papers by Jun Imamura
This network shows the impact of papers produced by Jun Imamura. 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 Imamura. The network helps show where Jun Imamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Imamura, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 305 | |
| 2 | 2005 | 290 | |
| 3 | 2003 | 284 | |
| 4 | 2018 | 161 | |
| 5 | 1992 | 159 | |
| 6 | Functional analysis of mutations within the kinase activation segment of B-Raf in human colorectal tumors. | 2003 | 135 |
| 7 | 2005 | 122 | |
| 8 | 2008 | 112 | |
| 9 | 2008 | 103 | |
| 10 | 2015 | 88 | |
| 11 | 2017 | 83 | |
| 12 | 2005 | 83 | |
| 13 | 2006 | 82 | |
| 14 | 2008 | 81 | |
| 15 | 2015 | 77 | |
| 16 | 2007 | 70 | |
| 17 | 2005 | 70 | |
| 18 | 2013 | 65 | |
| 19 | 2003 | 60 | |
| 20 | 2004 | 60 |
About Jun Imamura
Jun Imamura is a scholar working on Molecular Biology, Hepatology, Epidemiology, Plant Science and Surgery, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Plant tissue culture and regeneration (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Hepatitis B Virus Studies (10 papers), Plant Reproductive Biology (10 papers), Hepatitis C virus research (9 papers), Photosynthetic Processes and Mechanisms (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). The work is most often cited by research in Hepatology (752 citations), Molecular Biology (1.9k citations), Biochemistry (193 citations), Plant Science (890 citations) and Epidemiology (719 citations). Jun Imamura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masao Omata, Fumihiko Kanai, Junko Kohno‐Murase, Takao Kawabe, Takako Sakai, Nobuya Koizuka, Shuichiro Shiina, Haruhiko Yoshida, Ryosuke Tateishi and Ryota Masuzaki. Their work appears in journals such as International Journal of Cancer, Hepatology International, EBioMedicine, Cancer Research and Plant 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.