Junichiro Matsuda

4.1k citations
77 papers · 3.3k · h-index 28

Impact in

Papers in

Junichiro Matsuda

77 papers receiving 3.2k citations

Peers

Junichiro Matsuda
Comparison fields: 5 of 105
  • Reproductive Medicine 435
  • Physiology 935
  • Aging 57
  • Cell Biology 444
  • Molecular Biology 1.7k
Replace John C. Chrivia with:
John C. Chrivia United States
Christelle Thibault-Carpentier France
Yoshihiro Takatsu Japan
Benny Motro Israel
Chao Tong China
Yoshitaka Fujihara Japan
Édith Aberdam France
Maria D. Lalioti United States
Yoshihiko Hosoi Japan
Deborah L. Segaloff United States
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Citations per field
00.5×3.7×
John C. Chrivia · 1×
Citations per year

Countries citing papers authored by Junichiro Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Junichiro Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junichiro Matsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junichiro Matsuda Line = papers co-authored together Junichiro Matsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004481
2 2006218
3 1994218
4 2003214
5 2000188
6 2002124
7 2008117
8 2011111
9 200991
10 199775
11 201370
12 199869
13 199666
14 198953
15 200752
16 200152
17 200952
18 199252
19 201349
20 200047

About Junichiro Matsuda

Junichiro Matsuda is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Physiology, Reproductive Medicine and Cell Biology, having authored 77 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (21 papers), Lysosomal Storage Disorders Research (13 papers), Sperm and Testicular Function (12 papers), Adipose Tissue and Metabolism (7 papers), Epigenetics and DNA Methylation (6 papers), Glycosylation and Glycoproteins Research (6 papers), Renal Diseases and Glomerulopathies (5 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Reproductive Medicine (435 citations), Physiology (935 citations), Aging (57 citations), Cell Biology (444 citations) and Molecular Biology (1.7k citations). Junichiro Matsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Osamu Suzuki, Ryuzo Yanagimachi, Atsuo Ogura, Keiji Mochida, A. Ogura, Yoshie Yamamoto, Yoshiyuki Suzuki, Yasutomi Kamei, T. Hata and Shinji Miura. Their work appears in journals such as EXPERIMENTAL ANIMALS, Brain and Development, General and Comparative Endocrinology, Journal of Reproduction and Development and Biology of Reproduction.

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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