Jun-Ichiro Gyotoku

553 citations
14 papers · 484 indexed · h-index 9
Topics
T-cell and B-cell Immunology (7 papers)Immunotherapy and Immune Responses (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Partner nations
JapanChina

In The Last Decade

Jun-Ichiro Gyotoku

14 papers receiving 467 citations

Peers

Jun-Ichiro Gyotoku
Comparison fields: 5 of 72
  • Immunology 319
  • Molecular Biology 108
  • Oncology 79
  • Hematology 56
  • Genetics 38
Replace Shawn M. Vogen with:
Shawn M. Vogen United States
Ruduan Wang United States
L Chaplin United Kingdom
R H Peterson United States
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Lawrence W. Torley China
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H.N. Fernández Argentina
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Jun-Ichiro Gyotoku relative to Shawn M. Vogen United States Shawn M. Vogen's profile →
Citations per field
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Shawn M. Vogen · 1×
Citations per year

Countries citing papers authored by Jun-Ichiro Gyotoku

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ichiro Gyotoku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Ichiro Gyotoku. 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 Jun-Ichiro Gyotoku. The network helps show where Jun-Ichiro Gyotoku may publish in the future.

Co-authorship network of co-authors of Jun-Ichiro Gyotoku

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Ichiro Gyotoku. A scholar is included among the top collaborators of Jun-Ichiro Gyotoku 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 Jun-Ichiro Gyotoku. Jun-Ichiro Gyotoku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1
Possible involvement of flow detection in the activation of osteoblasts.
1
2
C-fos expression of osteoblast-like MC3T3-E1 cells induced either by cooling or by fluid flow.
8
3 7
4 11
5 193
6
Population movement and fate of autoreactive V beta 6+ T cells in Mls-1a mice.
4
7 24
8 13
9 9
10 107
11 16
12 1
13
Enhancement of antitumor activity of ascorbate against Ehrlich ascites tumor cells by the copper:glycylglycylhistidine complex.
79
14 11

About Jun-Ichiro Gyotoku

Jun-Ichiro Gyotoku is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 484 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (319 citations), Hematology (56 citations) and Oncology (79 citations). Jun-Ichiro Gyotoku has collaborated with scholars based in Japan and China. Frequent co-authors include Y Katsura, Osam Mazda, Gabriel Gachelin, H Nakauchi, Yumi Matsuzaki, Megumu Ogawa, Yasuo Watanabe, Eiji Kimoto, Hidehiko Tanaka and Linus Pauling. Their work appears in journals such as The Journal of Experimental Medicine, FEBS Letters and Mechanisms of Ageing and Development.

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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