Giichi Takaesu

5.3k total citations · 1 hit paper
52 papers, 4.5k citations indexed

About

Giichi Takaesu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Giichi Takaesu has authored 52 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 19 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Giichi Takaesu's work include Cytokine Signaling Pathways and Interactions (16 papers), interferon and immune responses (15 papers) and Immune Response and Inflammation (15 papers). Giichi Takaesu is often cited by papers focused on Cytokine Signaling Pathways and Interactions (16 papers), interferon and immune responses (15 papers) and Immune Response and Inflammation (15 papers). Giichi Takaesu collaborates with scholars based in Japan, United States and South Korea. Giichi Takaesu's co-authors include Kunihiro Matsumoto, Takashi Kobayashi, Jun Ninomiya‐Tsuji, Akihiko Yoshimura, Chinatsu Otomo, Takanori Otomo, Zoltan Metlagel, Takatoshi Chinen, Akihiko Yoshimura and Kenji Irie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Giichi Takaesu

51 papers receiving 4.5k citations

Hit Papers

TAB2, a Novel Adaptor Protein, Mediates Activation of TAK... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Giichi Takaesu
Comparison fields: 5 of 114
  • Molecular Biology 2.0k
  • Immunology 2.0k
  • Cancer Research 1.1k
  • Oncology 1.1k
  • Epidemiology 684
Replace Keun Il Kim with:
Keun Il Kim South Korea
Nikolay Malinin United States
Helmut Holtmann Germany
Michael J. Lenardo United States
Oliver Dittrich‐Breiholz Germany
Dhananjaya V. Kalvakolanu United States
Virginie Bottero United States
Laurent Genestier France
Matthew Staron United States
Keun Il Kim South Korea View profile →
Citations per field, relative to Giichi Takaesu
Giichi Takaesu · 1×
Citations per year, relative to Giichi Takaesu
Giichi Takaesu · 1×

Countries citing papers authored by Giichi Takaesu

Since Specialization
Citations

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

Fields of papers citing papers by Giichi Takaesu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giichi Takaesu

This figure shows the co-authorship network connecting the top 25 collaborators of Giichi Takaesu. A scholar is included among the top collaborators of Giichi Takaesu 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 Giichi Takaesu. Giichi Takaesu 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
# Work Indexed citations
1 10
2 8
3 27
4 21
5 11
6 337
7 29
8 53
9 119
10 2
11 95
12 88
13 154
14 33
15 17
16 196
17 41
18 52
19 331
20 160

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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2026