Jun Okamura
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 23
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 23
- Acute Myeloid Leukemia Research 15
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 13
- Immunology top 5%
- T-cell and Retrovirus Studies 18
- Oncology top 5%
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- Acute Lymphoblastic Leukemia research 34
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- Childhood Cancer Survivors' Quality of Life 24
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- Vector-Borne Animal Diseases 13
- Co-authors
- Masami SakuraiC KurodaMorito MondenMari KannagiAtae UtsunomiyaRyuji TanosakiReiji FukanoJiro Inagaki
- Journals
- International Journal of Hematology (11 papers)Cancer Chemotherapy and Pharmacology (7 papers)Pediatric Transplantation (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Okamura
188 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 122
- Hepatology 705
- Hematology 475
- Agronomy and Crop Science 354
- Immunology 719
- Oncology 687
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2020 | 1 | |
| 3 | 2019 | 1 | |
| 4 | 2017 | 2 | |
| 5 | 2015 | 27 | |
| 6 | 2014 | 20 | |
| 7 | 2012 | 13 | |
| 8 | 2011 | 0 | |
| 9 | 2006 | 7 | |
| 10 | 2006 | 3 | |
| 11 | 2005 | 3 | |
| 12 | 2005 | 4 | |
| 13 | 2001 | 1 | |
| 14 | 1996 | 4 | |
| 15 | 1996 | 9 | |
| 16 | 1990 | 32 | |
| 17 | Response of non-T, non-B acute lymphocytic leukemia cells to phorbol ester. | 1984 | 6 |
| 18 | 1980 | 2 | |
| 19 | 1979 | 1 | |
| 20 | AORTITIS SYNDROME IN CHILDHOOD | 1973 | 2 |
About Jun Okamura
Jun Okamura is a scholar working on Hepatology, Hematology, Oncology, Otorhinolaryngology and Pediatrics, Perinatology and Child Health, having authored 196 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (34 papers), Childhood Cancer Survivors' Quality of Life (24 papers), Hematopoietic Stem Cell Transplantation (23 papers), Hepatocellular Carcinoma Treatment and Prognosis (23 papers), T-cell and Retrovirus Studies (18 papers), Acute Myeloid Leukemia Research (15 papers), Animal Disease Management and Epidemiology (13 papers) and Vector-Borne Animal Diseases (13 papers). The work is most often cited by research in Hepatology (705 citations), Hematology (475 citations), Agronomy and Crop Science (354 citations), Immunology (719 citations) and Oncology (687 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, Cancer Chemotherapy and Pharmacology, Pediatric Transplantation, 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.