Kenji Ishitsuka

8.2k citations
149 papers · 4.5k indexed · 1 hit paper · h-index 33
Topics
T-cell and Retrovirus Studies (75 papers)Vector-Borne Animal Diseases (48 papers)Multiple Myeloma Research and Treatments (25 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Kenji Ishitsuka

138 papers receiving 4.4k citations

Hit Papers

Defucosylated Anti-CCR4 Monoclonal Antibody (KW-0761) for...20122026201620212012100200300400

Peers

Kenji Ishitsuka
Comparison fields: 5 of 109
  • Molecular Biology 2.3k
  • Immunology 1.5k
  • Oncology 1.3k
  • Hematology 1.1k
  • Ecology, Evolution, Behavior and Systematics 714
Replace Seong‐Jin Kim with:
Seong‐Jin Kim South Korea
Chie Nishioka Japan
Fabrice Gouilleux France
Robert A. Kirken United States
Valérie Lallemand-Breitenbach France
Mei Huang China
Kurt Bommert Germany
Y Niitsu Japan
Hiro Wakasugi Japan
Reid P. Bissonnette United States
Kenji Ishitsuka relative to Seong‐Jin Kim South Korea Seong‐Jin Kim's profile →
Citations per field
00.5×9.0×
Seong‐Jin Kim · 1×
Citations per year

Countries citing papers authored by Kenji Ishitsuka

Since Specialization
Citations

This map shows the geographic impact of Kenji Ishitsuka'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 Kenji Ishitsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Ishitsuka more than expected).

Fields of papers citing papers by Kenji Ishitsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenji Ishitsuka. 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 Kenji Ishitsuka. The network helps show where Kenji Ishitsuka may publish in the future.

Co-authorship network of co-authors of Kenji Ishitsuka

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Ishitsuka. A scholar is included among the top collaborators of Kenji Ishitsuka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenji Ishitsuka. Kenji Ishitsuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 2
4 0
5 2
6 5
7 12
8 4
9 1
10 7
11 22
12 3
13 1
14 48
15 19
16 1
17 0
18 29
19 41
20 3

About Kenji Ishitsuka

Kenji Ishitsuka is a scholar working on Immunology, Hematology and Ecology, Evolution, Behavior and Systematics, having authored 149 papers that have together received 4.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (75 papers), Vector-Borne Animal Diseases (48 papers) and Multiple Myeloma Research and Treatments (25 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (1.5k citations) and Agronomy and Crop Science (522 citations). Kenji Ishitsuka has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Teru Hideshima, Kenneth C. Anderson, Noopur Raje, Dharminder Chauhan, Hiroshi Yasui, Kazuo Tamura, Paul G. Richardson, Klaus Podar, Shaji Kumar and Nikhil C. Munshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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