Kaoru Uchimaru
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology 50
- Immunology top 1%
- T-cell and Retrovirus Studies 80
- Immune Cell Function and Interaction 14
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 20
- Acute Myeloid Leukemia Research 11
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- Vector-Borne Animal Diseases 59
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 8
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- Lymphoma Diagnosis and Treatment 12
- Co-authors
- Makoto YamagishiToshiki WatanabeArinobu TojoShigetaka AsanoAtae UtsunomiyaKazumi NakanoSatoshi TakahashiJun Ooi
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kaoru Uchimaru
132 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 88
- Agronomy and Crop Science 926
- Immunology 1.7k
- Hematology 786
- Ecology, Evolution, Behavior and Systematics 1.0k
- Genetics 335
Countries citing papers authored by Kaoru Uchimaru
This map shows the geographic impact of Kaoru Uchimaru'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 Kaoru Uchimaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Uchimaru more than expected).
Fields of papers citing papers by Kaoru Uchimaru
This network shows the impact of papers produced by Kaoru Uchimaru. 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 Kaoru Uchimaru. The network helps show where Kaoru Uchimaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaoru Uchimaru, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 48 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 35 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 24 | |
| 16 | 2014 | 84 | |
| 17 | 2010 | 23 | |
| 18 | 2008 | 9 | |
| 19 | 1998 | 12 | |
| 20 | [Mantle cell lymphoma with multiple extranodal involvement]. | 1997 | 1 |
About Kaoru Uchimaru
Kaoru Uchimaru is a scholar working on Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics, Hematology and Genetics, having authored 138 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (80 papers), Vector-Borne Animal Diseases (59 papers), Animal Disease Management and Epidemiology (50 papers), Hematopoietic Stem Cell Transplantation (20 papers), Immune Cell Function and Interaction (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Acute Myeloid Leukemia Research (11 papers) and Chronic Lymphocytic Leukemia Research (8 papers). The work is most often cited by research in Agronomy and Crop Science (926 citations), Immunology (1.7k citations), Hematology (786 citations), Ecology, Evolution, Behavior and Systematics (1.0k citations) and Genetics (335 citations). Kaoru Uchimaru has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Makoto Yamagishi, Toshiki Watanabe, Arinobu Tojo, Shigetaka Asano, Atae Utsunomiya, Kazumi Nakano, Satoshi Takahashi, Jun Ooi, Akira Tomonari and Tohru Iseki. Their work appears in journals such as International Journal of Hematology, Blood, Cancer Science, Viruses and Bone Marrow Transplantation.
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.