Tet Matsuguchi

502 total citations
7 papers, 303 citations indexed

About

Tet Matsuguchi is a scholar working on Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tet Matsuguchi has authored 7 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tet Matsuguchi's work include Telomeres, Telomerase, and Senescence (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Tet Matsuguchi is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Tet Matsuguchi collaborates with scholars based in United States, China and Canada. Tet Matsuguchi's co-authors include Elisa T. Lee, Jue Lin, Jinying Zhao, Elizabeth H. Blackburn, Barbara V. Howard, Lyle G. Best, Yun Zhu, Shelley A. Cole, Ying Zhang and Fawn Yeh and has published in prestigious journals such as Diabetes, Journal of Visualized Experiments and Aging.

In The Last Decade

Tet Matsuguchi

7 papers receiving 302 citations

Peers

Tet Matsuguchi
Comparison fields: 5 of 61
  • Physiology 222
  • Molecular Biology 71
  • Aging 61
  • Pediatrics, Perinatology and Child Health 54
  • Public Health, Environmental and Occupational Health 35
Replace Kamaraj Radhakrishnan with:
Kamaraj Radhakrishnan United Kingdom
Wenting Zhou China
Monika Avina United States
Priscila Carapeto Brazil
Leena Shah United States
Chuan Qin China
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Ishita Aggarwal United States
Amanda Harrell United States
Masoud Mahdavi Rashed Iran
Kamaraj Radhakrishnan United Kingdom View profile →
Citations per field, relative to Tet Matsuguchi
Tet Matsuguchi · 1×
Citations per year, relative to Tet Matsuguchi
Tet Matsuguchi · 1×

Countries citing papers authored by Tet Matsuguchi

Since Specialization
Citations

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

Fields of papers citing papers by Tet Matsuguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tet Matsuguchi

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 24
2 4
3 22
4 58
5 55
6 14
7 126

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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