Koichi Kitajima
Impact in
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- T-cell and Retrovirus Studies
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
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- T-cell and Retrovirus Studies 7
- Immune Cell Function and Interaction 2
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Kanji Miyamoto (6 shared papers)Toshio Tanaka (4 shared papers)Noriko Tomita (5 shared papers)Hisao Fujita (2 shared papers)Akio Ishii (2 shared papers)Takao Senda (1 shared paper)Terumi Nakajima (1 shared paper)Takashi Nagaya (2 shared papers)
- Journals
- International Journal of Cancer (2 papers)Biochemical and Biophysical Research Communications (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Cancer (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Koichi Kitajima
26 papers receiving 384 citations
Peers
Comparison fields: 5 of 69
- Immunology 164
- Agronomy and Crop Science 74
- Genetics 67
- Hematology 55
- Ecology, Evolution, Behavior and Systematics 80
Countries citing papers authored by Koichi Kitajima
This map shows the geographic impact of Koichi Kitajima'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 Kitajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Kitajima more than expected).
Fields of papers citing papers by Koichi Kitajima
This network shows the impact of papers produced by Koichi Kitajima. 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 Kitajima. The network helps show where Koichi Kitajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Kitajima, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 72 | |
| 2 | 1986 | 57 | |
| 3 | 1983 | 40 | |
| 4 | 1984 | 28 | |
| 5 | 1984 | 24 | |
| 6 | 1981 | 23 | |
| 7 | 1995 | 22 | |
| 8 | 1987 | 19 | |
| 9 | 1980 | 16 | |
| 10 | 2003 | 16 | |
| 11 | 1996 | 13 | |
| 12 | 1989 | 13 | |
| 13 | 1990 | 10 | |
| 14 | 1984 | 10 | |
| 15 | 1978 | 8 | |
| 16 | 1984 | 7 | |
| 17 | 1987 | 5 | |
| 18 | 1982 | 5 | |
| 19 | 1984 | 5 | |
| 20 | 1992 | 2 |
About Koichi Kitajima
Koichi Kitajima is a scholar working on Immunology, Hematology, Genetics, Molecular Biology and Genetics, having authored 29 papers that have together received 405 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Acute Myeloid Leukemia Research (4 papers), Vector-Borne Animal Diseases (3 papers), Animal Disease Management and Epidemiology (3 papers), Estrogen and related hormone effects (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (164 citations), Agronomy and Crop Science (74 citations), Genetics (67 citations), Hematology (55 citations) and Ecology, Evolution, Behavior and Systematics (80 citations). Koichi Kitajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Kanji Miyamoto, Toshio Tanaka, Noriko Tomita, Hisao Fujita, Akio Ishii, Takao Senda, Terumi Nakajima, Takashi Nagaya, J. Larry Jameson and Jiro Sato. Their work appears in journals such as International Journal of Cancer, Biochemical and Biophysical Research Communications, JNCI Journal of the National Cancer Institute, Cancer and Cancer Immunology Immunotherapy.
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.