Tomoko Kohno

1.6k citations
42 papers · 1.3k · h-index 22

Impact in

  • Immunology top 5%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Animal Disease Management and Epidemiology

Papers in

Tomoko Kohno

42 papers receiving 1.3k citations

Peers

Tomoko Kohno
Comparison fields: 5 of 97
  • Immunology 711
  • Agronomy and Crop Science 229
  • Developmental Neuroscience 61
  • Ecology, Evolution, Behavior and Systematics 272
  • Hematology 137
Replace Tomoo Sato with:
Tomoo Sato Japan
Hideya Igarashi Japan
Kazuki Ishibashi Japan
N. P. Groome United Kingdom
Xiao‐Chi Jia United States
Dan Lehmann Israel
Wessel P. Dirksen United States
S Roy Himes Australia
Staley A. Brod United States
Gabrielle S. Sellick United Kingdom
Tomoko Kohno relative to Tomoo Sato Japan Tomoo Sato's profile →
Citations per field
00.5×8.7×
Tomoo Sato · 1×
Citations per year

Countries citing papers authored by Tomoko Kohno

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoko Kohno, 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 Tomoko Kohno Line = papers co-authored together Tomoko Kohno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005118
2 2010111
3 200399
4 201595
5 200288
6 200588
7 201680
8 199678
9 199844
10 200041
11 200439
12 200238
13 200029
14 200529
15 200427
16 199426
17 200124
18 200124
19 199623
20 199622

About Tomoko Kohno

Tomoko Kohno is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Molecular Biology and Cancer Research, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (16 papers), Vector-Borne Animal Diseases (12 papers), Animal Disease Management and Epidemiology (12 papers), Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Immunology (711 citations), Agronomy and Crop Science (229 citations), Developmental Neuroscience (61 citations), Ecology, Evolution, Behavior and Systematics (272 citations) and Hematology (137 citations). Tomoko Kohno has collaborated with scholars based in Japan, France and United States. Frequent co-authors include T. Matsuyama, Masao Tomonaga, Yoshitaka Imaizumi, Yasuaki Yamada, Kazuo Yamamoto, Shun Nakamura, Chiaki Itami, Kunihiro Tsukasaki, Shimeru Kamihira and Tadayuki Ishimaru. Their work appears in journals such as Blood, Leukemia Research, Proceedings of the National Academy of Sciences, British Journal of Haematology and International Immunology.

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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