Koichi Oshima
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Hematology top 5%
Papers in
- Hematology 23
- Autoimmune and Inflammatory Disorders Research 6
- Oncology 20
- Viral-associated cancers and disorders 11
- Co-authors
- Megumu K. Saito (3 shared papers)Tatsutoshi Nakahata (3 shared papers)Akira Niwa (2 shared papers)Takayuki Shirakusa (3 shared papers)Masahiro Kikuchi (8 shared papers)Junji Nishimura (2 shared papers)Hajime Nawata (1 shared paper)Toshio Heike (2 shared papers)
- Journals
- International Journal of Hematology (9 papers)Blood (3 papers)Pediatric Transplantation (3 papers)British Journal of Haematology (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Koichi Oshima
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Immunology 316
- Hematology 158
- Genetics 104
- Oncology 236
- Pathology and Forensic Medicine 133
Countries citing papers authored by Koichi Oshima
This map shows the geographic impact of Koichi Oshima'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 Koichi Oshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Oshima more than expected).
Fields of papers citing papers by Koichi Oshima
This network shows the impact of papers produced by Koichi Oshima. 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 Koichi Oshima. The network helps show where Koichi Oshima may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Oshima, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 120 | |
| 2 | 2011 | 94 | |
| 3 | 2001 | 78 | |
| 4 | 2007 | 58 | |
| 5 | 2008 | 53 | |
| 6 | 2006 | 52 | |
| 7 | 1999 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2021 | 38 | |
| 10 | 2013 | 32 | |
| 11 | 2011 | 30 | |
| 12 | 1999 | 30 | |
| 13 | 1994 | 30 | |
| 14 | 2013 | 25 | |
| 15 | 1999 | 24 | |
| 16 | 2010 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2014 | 20 | |
| 19 | 2012 | 18 | |
| 20 | 2016 | 17 |
About Koichi Oshima
Koichi Oshima is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (11 papers), Immune Cell Function and Interaction (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Autoimmune and Inflammatory Disorders Research (6 papers), T-cell and Retrovirus Studies (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Immunology (316 citations), Hematology (158 citations), Genetics (104 citations), Oncology (236 citations) and Pathology and Forensic Medicine (133 citations). Koichi Oshima has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Megumu K. Saito, Tatsutoshi Nakahata, Akira Niwa, Takayuki Shirakusa, Masahiro Kikuchi, Junji Nishimura, Hajime Nawata, Toshio Heike, Takamitsu Matsushima and Takeshi Watanabe. Their work appears in journals such as International Journal of Hematology, Blood, Pediatric Transplantation, British Journal of Haematology and International Journal of 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.