Kant Matsuda

1.6k total citations
32 papers, 1.2k citations indexed

About

Kant Matsuda is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kant Matsuda has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kant Matsuda's work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Virus-based gene therapy research (4 papers). Kant Matsuda is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Virus-based gene therapy research (4 papers). Kant Matsuda collaborates with scholars based in United States, Canada and Japan. Kant Matsuda's co-authors include Michael Detmar, Young‐Kwon Hong, Natasha L. Harvey, Satoshi Hirakawa, Vivien Schacht, Towia A. Libermann, Joseph P. Vacanti, Anwar S. Shatil, Chase R. Figley and Osamu Ishii and has published in prestigious journals such as American Journal Of Pathology, Journal of Investigative Dermatology and Medical Physics.

In The Last Decade

Kant Matsuda

31 papers receiving 1.2k citations

Peers

Kant Matsuda
Comparison fields: 5 of 119
  • Molecular Biology 486
  • Oncology 481
  • Biomedical Engineering 180
  • Surgery 178
  • Physiology 168
Replace Aaron S. Farberg with:
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Amilcar A. Castellano‐Sanchez United States
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Andrea Carai Italy
Nitza Goldenberg‐Cohen Israel
Lingsong Li China
Tomokazu Hasegawa Japan
Thomas Beaumont United States
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Aaron S. Farberg United States View profile →
Citations per field, relative to Kant Matsuda
Kant Matsuda · 1×
Citations per year, relative to Kant Matsuda
Kant Matsuda · 1×

Countries citing papers authored by Kant Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Kant Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kant Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kant Matsuda. A scholar is included among the top collaborators of Kant Matsuda 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 Kant Matsuda. Kant Matsuda 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
# Work Indexed citations
1 0
2 1
3 8
4 10
5 6
6 54
7 37
8 18
9 28
10 3
11 19
12 1
13 18
14 176
15 38
16 368
17 6
18
Systemic inhibition of tumor growth and angiogenesis by thrombospondin-2 using cell-based antiangiogenic gene therapy.
54
19 21
20 15

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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