Ko Okumura

59.5k citations
848 papers · 47.4k indexed · 11 hit papers · h-index 113
Topics
Immune Cell Function and Interaction (256 papers)T-cell and B-cell Immunology (197 papers)Immunotherapy and Immune Responses (135 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Ko Okumura

839 papers receiving 46.0k citations

Hit Papers

Expression of Programmed Death 1 Ligands by ...198020261995201020021993199519922001250500750

Peers

Ko Okumura
Comparison fields: 5 of 169
  • Immunology 28.8k
  • Molecular Biology 12.6k
  • Oncology 7.2k
  • Immunology and Allergy 5.2k
  • Physiology 4.7k
Replace Kouji Matsushima with:
Kouji Matsushima Japan
Robert L. Coffman United States
Jacques Banchereau United States
Andrew D. Luster United States
Steven L. Kunkel United States
Anne O’Garra United States
Giorgio Trinchieri United States
Yoichiro Iwakura Japan
Nico van Rooijen Netherlands
Federica Sallusto Switzerland
Ko Okumura relative to Kouji Matsushima Japan Kouji Matsushima's profile →
Citations per field
00.5×1.5×
Kouji Matsushima · 1×
Citations per year

Countries citing papers authored by Ko Okumura

Since Specialization
Citations

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

Fields of papers citing papers by Ko Okumura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ko Okumura

This figure shows the co-authorship network connecting the top 25 collaborators of Ko Okumura. A scholar is included among the top collaborators of Ko Okumura 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 Ko Okumura. Ko Okumura 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 1
2 0
3 0
4 0
5 1
6 1
7 2
8 23
9 11
10 105
11 39
12
IL-33 is a crucial amplifier of innate rather than acquired immunitybreakdown →
534
13 97
14 16
15 165
16 346
17 2
18 18
19
Diffuse [CII] 158 Micron Line Emission from the Interstellar Matter at High Galactic Latitude
1
20
Molecular properties of F9 embryoglycan recognized by a unique antibody in sera from patients with germ cell tumors.
7

About Ko Okumura

Ko Okumura is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 848 papers that have together received 47.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (256 papers), T-cell and B-cell Immunology (197 papers) and Immunotherapy and Immune Responses (135 papers). The work is most often cited by research in Immunology (28.8k citations), Immunology and Allergy (5.2k citations) and Dermatology (2.8k citations). Ko Okumura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideo Yagita∥, Hideoki Ogawa, Kazuyoshi Takeda, Nobuhiko Kayagaki, Tomio Tada, Miyuki Azuma, Hisaya Akiba, Hiroko Ushio, Hiroyasu Nakano and Atsuhito Nakao. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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