Tomoko Kohno

1.7k citations
44 papers · 1.4k · 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

44 papers receiving 1.4k citations

Peers

Tomoko Kohno
Comparison fields: 5 of 95
  • Immunology 669
  • Agronomy and Crop Science 202
  • Developmental Neuroscience 65
  • Hematology 127
  • Ecology, Evolution, Behavior and Systematics 237
Replace Unsong Oh with:
Unsong Oh United States
Kenji Matsumuro Japan
Motozumi Minohara Japan
Tanya Lehky United States
Arkady Torchinsky‎ Israel
Paul T. Massa United States
Marga Nadal Spain
Eleuterio R. Hernández United States
Xiao‐Chi Jia United States
Staley A. Brod United States
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Citations per field
00.5×3.7×
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005120
2 2010111
3 2003100
4 201596
5 200289
6 200587
7 201681
8 199678
9 199844
10 200041
11 200840
12 200439
13 200238
14 200029
15 200529
16 200427
17 199426
18 200124
19 200124
20 199623

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 44 papers that have together received 1.4k 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), NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Immunology (669 citations), Agronomy and Crop Science (202 citations), Developmental Neuroscience (65 citations), Hematology (127 citations) and Ecology, Evolution, Behavior and Systematics (237 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, Proceedings of the National Academy of Sciences, Leukemia Research, Biochemical and Biophysical Research Communications 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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