T Masuda

666 citations
16 papers · 585 indexed · h-index 11
Topics
Diabetes and associated disorders (4 papers)Immune Response and Inflammation (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)

In The Last Decade

T Masuda

16 papers receiving 570 citations

Peers

T Masuda
Comparison fields: 5 of 70
  • Immunology 346
  • Genetics 92
  • Surgery 75
  • Oncology 73
  • Molecular Biology 72
Replace Nádia Duarte with:
Nádia Duarte Portugal
S. Yoshimura Japan
Jonathan T. Beech United Kingdom
Masato Ohta Japan
N. Rüdiger Denmark
Carolyn R. Weiss Canada
A O Vladutiu United States
Anni R. Thomsen Denmark
Xuan Duc Nguyen Germany
Anssi Lagerstedt Finland
T Masuda relative to Nádia Duarte Portugal Nádia Duarte's profile →
Citations per field
00.5×1.5×
Nádia Duarte · 1×
Citations per year

Countries citing papers authored by T Masuda

Since Specialization
Citations

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

Fields of papers citing papers by T Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Masuda

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2
Serrated adenoma: a clinicopathological, DNA ploidy, and immunohistochemical study.
42
3 51
4 7
5 38
6 58
7 12
8
Lymphotoxin activates hepatic T cells and simultaneously induces profound thymic atrophy.
16
9 135
10 58
11 6
12 69
13 61
14
Intraoperative imprint cytology of the thyroid gland with computer-assisted morphometric analysis of cell clusters.
4
15
Endocrinologic pathology of functioning adrenocortical tumors.
19
16
Differentiation of migration of T lymphocytes.
8

About T Masuda

T Masuda is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 16 papers that have together received 585 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Immune Response and Inflammation (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (346 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Genetics (92 citations). T Masuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toshiaki Ohteki, Toru Abo, Katsuo Kumagai, Shinichiro Seki, Hidemi Rikiishi, T. Toyota, Yasunobu Yoshikai, H Nagura, J. Satoh and Hiroaki Seino. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

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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