T Matsuo

843 citations
31 papers · 714 indexed · h-index 14
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Rheology and Fluid Dynamics Studies (5 papers)T-cell and B-cell Immunology (3 papers)

In The Last Decade

T Matsuo

30 papers receiving 652 citations

Peers

T Matsuo
Comparison fields: 5 of 102
  • Molecular Biology 208
  • Immunology 143
  • Molecular Medicine 88
  • Social Psychology 74
  • Fluid Flow and Transfer Processes 69
Replace D. B. Myers with:
D. B. Myers New Zealand
Alexander Robinson United Kingdom
Masayuki Hayashi Japan
Neil McDonald United Kingdom
Ching-Ming Wu Taiwan
Dean S.T. Hsieh United States
Bruce D. Schultz United States
Bindukumar Nair United States
Willem M. Kühtreiber United States
T Matsuo relative to D. B. Myers New Zealand D. B. Myers's profile →
Citations per field
00.5×10×14.7×
D. B. Myers · 1×
Citations per year

Countries citing papers authored by T Matsuo

Since Specialization
Citations

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

Fields of papers citing papers by T Matsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Matsuo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 37
2 39
3 3
4 1
5 14
6 42
7 14
8 35
9 35
10 10
11 21
12 57
13
[Granulopoietic effects of lentinan in mice: effects on GM-CFC and 5-FU-induced leukopenia].
5
14 4
15 7
16 4
17 146
18
Unperturbed Dimension and Conformation of Polyvinyl Chloride Chain in Solution (Special Issue on Physical Chemistry)
1
19 73
20 2

About T Matsuo

T Matsuo is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics and Immunology and Allergy, having authored 31 papers that have together received 714 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Rheology and Fluid Dynamics Studies (5 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Molecular Medicine (88 citations), Fluid Flow and Transfer Processes (69 citations) and Endocrine and Autonomic Systems (55 citations). T Matsuo has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include K Iida, Masaatsu Koike, Masao Kimoto, Nobuo Sakaguchi, Nobukuni Ogata, Hiroko Abe, Masumi Inoue, Hiroshi Inagaki, Hidematsu Suzuki and Takatoshi Koyama. Their work appears in journals such as The Journal of Immunology, The Journal of Physiology and The Journal of Physical Chemistry.

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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