Kaoru Uchimaru

5.4k citations
141 papers · 3.4k · h-index 28

Impact in

Papers in

Kaoru Uchimaru

134 papers receiving 3.4k citations

Peers

Kaoru Uchimaru
Comparison fields: 5 of 85
  • Immunology 1.7k
  • Agronomy and Crop Science 837
  • Hematology 735
  • Ecology, Evolution, Behavior and Systematics 924
  • Genetics 302
Replace Hitoshi Suzushima with:
Hitoshi Suzushima Japan
Eric Wattel France
Yoshitaka Imaizumi Japan
Kunihiro Tsukasaki Japan
B F Haynes United States
Daniel Catovsky United Kingdom
Shuro Yoshida Japan
Thi‐Sau Migone United States
Masakatsu Hishizawa Japan
FW Ruscetti United States
Kaoru Uchimaru relative to Hitoshi Suzushima Japan Hitoshi Suzushima's profile →
Citations per field
00.5×5.3×
Hitoshi Suzushima · 1×
Citations per year

Countries citing papers authored by Kaoru Uchimaru

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Kaoru Uchimaru Line = papers co-authored together Kaoru Uchimaru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012270
2 2010269
3 2004255
4 2017185
5 2019135
6 2016127
7 2016126
8 199789
9 201487
10 199987
11 200385
12 201876
13 200366
14 200361
15 200358
16 201755
17 199953
18 202051
19 202150
20 200445

About Kaoru Uchimaru

Kaoru Uchimaru is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Hematology and Oncology, having authored 141 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (82 papers), Vector-Borne Animal Diseases (51 papers), Animal Disease Management and Epidemiology (42 papers), Hematopoietic Stem Cell Transplantation (19 papers), Immune Cell Function and Interaction (12 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 Immunology (1.7k citations), Agronomy and Crop Science (837 citations), Hematology (735 citations), Ecology, Evolution, Behavior and Systematics (924 citations) and Genetics (302 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, Satoshi Takahashi, Kazumi Nakano, 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.

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