Tateshi Kataoka

2.0k citations
74 papers · 1.7k indexed · h-index 20

Tateshi Kataoka

72 papers receiving 1.5k citations

Peers

Tateshi Kataoka
Comparison fields: 5 of 91
  • Immunology 973
  • Microbiology 105
  • Endocrinology 61
  • Molecular Biology 656
  • Biotechnology 75
Replace Tohru Tokunaga with:
Tohru Tokunaga Japan
Barry J. Skidmore United States
A. R. Sanderson United Kingdom
James T. Kurnick United States
T Sudo Japan
Jean‐Claude Jaton Switzerland
Sheldon Dray United States
Lawrence J. Thomas United States
Diana F. Amsbaugh United States
Osamu Yano Japan
Tateshi Kataoka relative to Tohru Tokunaga Japan Tohru Tokunaga's profile →
Citations per field
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Tohru Tokunaga · 1×
Citations per year

Countries citing papers authored by Tateshi Kataoka

Since Specialization
Citations

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

Fields of papers citing papers by Tateshi Kataoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19956
2 199421
3 199454
4 19933
5 1992375
6 199140
7 19914
8 19902
9 19902
10 19902
11
[Activation of macrophages with Hochu-ekkito].
198913
12 19859
13 198565
14
Immunotherapeutic response of concanavalin A-bound L1210 vaccine enhanced by a streptococcal immunopotentiator, OK-432.
197915
15
Effect of combined use of anticancer drugs with a polysaccharide preparation, Krestin, on mouse leukemia P388.
197810
16
Transplantability of L1210 Cell in BALB/c × DBA/2F1 Mice Associated with Cell Agglutinability by Concanavalin A
19757
17 19759
18 197011
19 197020
20
[Effect of tween 80 on the tuberculin reaction. 1. Tuberculin reaction in guinea pigs caused by the PPDs added with tween 80].
19662

About Tateshi Kataoka

Tateshi Kataoka is a scholar working on Immunology, Biotechnology and Oncology, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), RNA Interference and Gene Delivery (13 papers), Lipid Membrane Structure and Behavior (10 papers), Immune Cell Function and Interaction (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer Research and Treatments (6 papers), Immune Response and Inflammation (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Immunology (973 citations), Microbiology (105 citations) and Endocrinology (61 citations). Tateshi Kataoka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include T Tokunaga, Okihito Yano, Toshiko Yamamoto, Etsuro Kuramoto, Yoshio Sakurai, Shuji Yamamoto, Fujiko Oh-hashi, Shoshichi Nojima, Shingo Shimada and Tamotsu Fukuda. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Biochemistry.

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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