T Nagaoki

820 citations
23 papers · 668 · h-index 14

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and Retrovirus Studies
    • Reproductive System and Pregnancy

Papers in

T Nagaoki

23 papers receiving 584 citations

Peers

T Nagaoki
Comparison fields: 5 of 78
  • Immunology 446
  • Virology 21
  • Radiology, Nuclear Medicine and Imaging 94
  • Immunology and Allergy 23
  • Transplantation 10
Replace A E Gabrielsen with:
A E Gabrielsen United States
Alessandra Aquino Italy
J. P. Révillard France
B H Petersen United States
G Petrányi Hungary
Ludmila N. Drutskaya United States
Michael Diegel United States
Sumiko Iho Japan
E Clerici Italy
Włodzimierz Ptak Poland
T Nagaoki relative to A E Gabrielsen United States A E Gabrielsen's profile →
Citations per field
00.5×
A E Gabrielsen · 1×
Citations per year

Countries citing papers authored by T Nagaoki

Since Specialization
Citations

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

Fields of papers citing papers by T Nagaoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside T Nagaoki, 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 Nagaoki Line = papers co-authored together T Nagaoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981110
2 198387
3 198172
4
Circadian changes of T lymphocyte subsets in human peripheral blood.
198472
5 198265
6 198236
7 197735
8 197923
9 198222
10 198121
11 198119
12 198218
13 198217
14 198017
15 197611
16 198511
17 19789
18
Inhibitory effect of sheep erythrocyte fragments on rosette formation of human T lymphocytes with sheep red blood cells.
19768
19 19794
20 19814

About T Nagaoki

T Nagaoki is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biotechnology and Hematology, having authored 23 papers that have together received 668 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (7 papers), Transgenic Plants and Applications (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immunotherapy and Immune Responses (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Immunology (446 citations), Virology (21 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Immunology and Allergy (23 citations) and Transplantation (10 citations). T Nagaoki has collaborated with scholars based in Japan and France. Frequent co-authors include Takeshi Miyawaki, Naoyuki Taniguchi, Akihiro Yachie, S Ohzeki, Toshio Miyawaki, T Yokoi, Hiroaki Seki, K Taga, Yujiro Suzuki and Eiji Kato. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism, Immunological Reviews and PubMed.

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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