Jun Okamura
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Co-authors
- Masami Sakurai (16 shared papers)C Kuroda (15 shared papers)Morito Monden (21 shared papers)Mari Kannagi (14 shared papers)Atae Utsunomiya (14 shared papers)Ryuji Tanosaki (12 shared papers)Reiji Fukano (17 shared papers)Jiro Inagaki (18 shared papers)
- Journals
- International Journal of Hematology (11 papers)Pediatric Transplantation (7 papers)Cancer Chemotherapy and Pharmacology (7 papers)British Journal of Haematology (6 papers)Pediatric Blood & Cancer (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Okamura
188 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 119
- Hepatology 678
- Hematology 472
- Immunology 716
- Agronomy and Crop Science 336
- Oncology 567
Countries citing papers authored by Jun Okamura
This map shows the geographic impact of Jun Okamura'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 Okamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Okamura more than expected).
Fields of papers citing papers by Jun Okamura
This network shows the impact of papers produced by Jun Okamura. 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 Okamura. The network helps show where Jun Okamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Okamura, 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 197 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 162 | |
| 2 | 1997 | 142 | |
| 3 | 2004 | 113 | |
| 4 | 1999 | 113 | |
| 5 | 2012 | 110 | |
| 6 | 2015 | 98 | |
| 7 | 2010 | 87 | |
| 8 | 1983 | 87 | |
| 9 | 1991 | 84 | |
| 10 | 1995 | 61 | |
| 11 | 1983 | 59 | |
| 12 | 1982 | 57 | |
| 13 | 2010 | 47 | |
| 14 | 2008 | 46 | |
| 15 | 2015 | 46 | |
| 16 | 2005 | 44 | |
| 17 | 2011 | 44 | |
| 18 | 2011 | 43 | |
| 19 | 2004 | 43 | |
| 20 | 1998 | 43 |
About Jun Okamura
Jun Okamura is a scholar working on Oncology, Surgery, Public Health, Environmental and Occupational Health, Hepatology and Pulmonary and Respiratory Medicine, having authored 197 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Hematopoietic Stem Cell Transplantation (18 papers), T-cell and Retrovirus Studies (17 papers), Childhood Cancer Survivors' Quality of Life (17 papers), Acute Myeloid Leukemia Research (15 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (12 papers). The work is most often cited by research in Hepatology (678 citations), Hematology (472 citations), Immunology (716 citations), Agronomy and Crop Science (336 citations) and Oncology (567 citations). Jun Okamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masami Sakurai, C Kuroda, Morito Monden, Mari Kannagi, Atae Utsunomiya, Ryuji Tanosaki, Reiji Fukano, Jiro Inagaki, Hiroko Inada and Yoshihisa Nagatoshi. Their work appears in journals such as International Journal of Hematology, Pediatric Transplantation, Cancer Chemotherapy and Pharmacology, British Journal of Haematology and Pediatric Blood & Cancer.
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.