Yohei Takeda

2.2k citations
82 papers · 1.2k · h-index 21

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immune cells in cancer
    • Vibrio bacteria research studies

Papers in

    • Immune Response and Inflammation 15
    • Immunotherapy and Immune Responses 14
    • Immune Cell Function and Interaction 13
    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 7

Yohei Takeda

78 papers receiving 1.2k citations

Peers

Yohei Takeda
Comparison fields: 5 of 117
  • Immunology 634
  • Endocrinology 80
  • General Dentistry 16
  • Oncology 224
  • Infectious Diseases 148
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Yohei Takeda relative to Zhongji Meng China Zhongji Meng's profile →
Citations per field
00.5×5.3×
Zhongji Meng · 1×
Citations per year

Countries citing papers authored by Yohei Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 201678
3 200563
4 201757
5 201756
6 201554
7 201640
8 202039
9 201834
10 201532
11 201431
12 201930
13 202129
14 202029
15 201829
16 202027
17 201925
18 201825
19 201824
20
Taxonomic studies on the bacterial strains isolated from cases of "shirasu" food-poisoning (Pasteurella parahaemolytica) and related microorganisms.
196523

About Yohei Takeda

Yohei Takeda is a scholar working on Immunology, Epidemiology, Infectious Diseases, Endocrinology and Molecular Biology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (13 papers), Vibrio bacteria research studies (12 papers), Influenza Virus Research Studies (8 papers), SARS-CoV-2 detection and testing (7 papers), Respiratory viral infections research (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Immunology (634 citations), Endocrinology (80 citations), General Dentistry (16 citations), Oncology (224 citations) and Infectious Diseases (148 citations). Yohei Takeda has collaborated with scholars based in Japan, Vietnam and Egypt. Frequent co-authors include Misako Matsumoto, Tsukasa Seya, Haruko Ogawa, Hiroaki Shime, Ken Takashima, Sachiko Matsuda, Kunitoshi Imai, Masahiro Azuma, Megumi Tatematsu and Keisuke Kataoka. Their work appears in journals such as Biochemical and Biophysical Research Communications, Viruses, Pathogens, OncoImmunology and Cancer Science.

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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