T Taniguchi

1.6k citations
21 papers · 1.3k indexed · 1 hit paper · h-index 12

T Taniguchi

21 papers receiving 1.2k citations

Hit Papers

Isolation and Some Characteristics of an Agent Inducing A...3131979202619942010100200300

Peers

T Taniguchi
Comparison fields: 5 of 77
  • Endocrinology 190
  • Animal Science and Zoology 344
  • Immunology 502
  • Oncology 301
  • Infectious Diseases 202
Replace Masmudur M. Rahman with:
Masmudur M. Rahman United States
Kôsaku Fujiwara Japan
Leonard C. Norkin United States
Shahriar Behboudi United Kingdom
U. Lösch Germany
Y Bouthillier France
C M Edson United States
Anthony Orvedahl United States
Guy Lemay Canada
Yamina Bennasser France
T Taniguchi relative to Masmudur M. Rahman United States Masmudur M. Rahman's profile →
Citations per field
00.5×4.5×
Masmudur M. Rahman · 1×
Citations per year

Countries citing papers authored by T Taniguchi

Since Specialization
Citations

This map shows the geographic impact of T Taniguchi'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 T Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Taniguchi more than expected).

Fields of papers citing papers by T Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20121
2 20098
3
Rapid and selective production of hybridoma cells secreting novel monoclonal antibodies based on short-term immunization
20061
4 20027
5 200184
6 200017
7 19952
8 199544
9 19922
10
Structure and expression of a cloned cDNA for human interleukin-2. 1983.
19923
11 199136
12 19903
13 199069
14 1989119
15 1989263
16 19882
17 198819
18 1983144
19 198073
20
Isolation and Some Characteristics of an Agent Inducing Anemia in Chicksbreakdown →
1979313

About T Taniguchi

T Taniguchi is a scholar working on Endocrinology, Immunology and Molecular Medicine, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Vibrio bacteria research studies (3 papers), Immune Cell Function and Interaction (3 papers), Viral-associated cancers and disorders (3 papers), Escherichia coli research studies (3 papers), T-cell and Retrovirus Studies (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Endocrinology (190 citations), Animal Science and Zoology (344 citations) and Immunology (502 citations). T Taniguchi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include N. Yuasa, I. Yoshida, Nobumasa Watanabe, Luiz F. L. Reis, J Vilček, Toshitsugu Fujita, Y. Kimura, T Miwatani, Tomoyuki Honda and Mitsuaki Nishibuchi. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Avian Diseases, Infection and Immunity and Epidemiology and Infection.

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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