Katsuo Takeda

704 citations
33 papers · 571 indexed · h-index 12
Topics
Microbial Natural Products and Biosynthesis (12 papers)Viral Infectious Diseases and Gene Expression in Insects (5 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)

In The Last Decade

Katsuo Takeda

31 papers receiving 521 citations

Peers

Katsuo Takeda
Comparison fields: 5 of 73
  • Molecular Biology 404
  • Genetics 151
  • Pharmacology 113
  • Organic Chemistry 82
  • Oncology 57
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Citations per year

Countries citing papers authored by Katsuo Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Katsuo Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuo Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuo Takeda. A scholar is included among the top collaborators of Katsuo Takeda 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 Katsuo Takeda. Katsuo Takeda 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 14
2 256
3 48
4 7
5 12
6 19
7 8
8 38
9 7
10 8
11 16
12 12
13 2
14 2
15
Immunology of cancer with special Reference to Tumor Immunity in the Primary Autochthonous Host
2
16
Treatment of artificial metastases of methylcholanthrene-induced rat sarcomas by autoimmunization of the autochthonous hosts.
13
17
Inhibition of the growth of Friend tumor cell in mice immunized with live Friend virus.
1
18
[Immunopathological studies on the specificity of the tumor antigen of rats treated with trichloroacetic acid].
0
19
Immunopathological specificity of each ascites tumor of rat by re- and cross-transplantation in mice.
1
20
Studies on the immunological phenomena of Yoshida sarcoma.
3

About Katsuo Takeda

Katsuo Takeda is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Biotechnology, having authored 33 papers that have together received 571 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (12 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Pharmacology (113 citations), Molecular Biology (404 citations) and Genetics (151 citations). Katsuo Takeda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include TAMOTSU FURUMAI, Mamoru Hasegawa, Haruhiko Yokoi, Teruo Akuta, Hachiro Inokuchi, Mahito Nakanishi, Takao Hayakawa, Akiko Eguchi, Takao Senda and Shigeo Fujita. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

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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