Keisuke Teshigawara

2.7k citations
30 papers · 2.4k indexed · 2 hit papers · h-index 16

Keisuke Teshigawara

30 papers receiving 2.3k citations

Hit Papers

TCGF (IL 2)-receptor inducing factor(s). I. Regulation of...3301984202619982012100200300400

Peers

Keisuke Teshigawara
Comparison fields: 5 of 97
  • Immunology 1.4k
  • Agronomy and Crop Science 191
  • Oncology 438
  • Molecular Biology 828
  • Radiology, Nuclear Medicine and Imaging 272
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T Nikaido Japan
Nanae Harashima Japan
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Miguel Barbosa United States
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Margarita Hadzopoulou‐Cladaras United States
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Keisuke Teshigawara relative to T Nikaido Japan T Nikaido's profile →
Citations per field
00.5×3.3×
T Nikaido · 1×
Citations per year

Countries citing papers authored by Keisuke Teshigawara

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Teshigawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20184
3 200755
4
INVOLVEMENT OF FAS/FAS LIGAND SYSTEM IN THE INDUCTION OF GERM CELL APOPTOSIS IN ISCHEMIA-REPERFUSION AND ESTROGEN-TREATED MOUSE TESTES(Endocrinology)(Proceedings of the Sixty-Ninth Annual Meeting of the Zoological Society of Japan) :
19981
5 199732
6 19961
7 1995149
8 199540
9 199413
10 199410
11
Induction of apoptosis by quercetin: involvement of heat shock protein.
1994314
12 199213
13 199113
14 198820
15 1987483
16 19876
17 198522
18
TCGF (IL 2)-receptor inducing factor(s). I. Regulation of IL 2 receptor on a natural killer-like cell line (YT cells).breakdown →
1985330
19 198570
20 19859

About Keisuke Teshigawara

Keisuke Teshigawara is a scholar working on Immunology, Agronomy and Crop Science and Biotechnology, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and Retrovirus Studies (10 papers), T-cell and B-cell Immunology (7 papers), Vector-Borne Animal Diseases (6 papers), Animal Disease Management and Epidemiology (5 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Immunology (1.4k citations), Agronomy and Crop Science (191 citations) and Oncology (438 citations). Keisuke Teshigawara has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Kevin M. Smith, Koichi Kato, Yoshiaki Uchida, Yoshitaka Kariya, Yuquan Wei, Xia Zhao, Tasuku Honjo, Junji Yodoi, Hisataka Sabe and Norio Ishida. Their work appears in journals such as Nature, Nucleic Acids Research and The Journal of Experimental 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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