Manabu Matsuda

1.1k citations
43 papers · 906 indexed · h-index 18
Topics
Endometriosis Research and Treatment (10 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)Sperm and Testicular Function (7 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Manabu Matsuda

42 papers receiving 884 citations

Peers

Manabu Matsuda
Comparison fields: 5 of 84
  • Molecular Biology 284
  • Reproductive Medicine 204
  • Genetics 198
  • Oncology 125
  • Endocrinology, Diabetes and Metabolism 124
Replace Takao Mori with:
Takao Mori Japan
D B Hales United States
Mrinal K. Sanyal United States
Meijia Zhang China
Sheng Cui China
Kimihisa Tajima Japan
R. T. Gladwell United Kingdom
Pancharatnam Jeyasuria United States
Nobuhiro Harada Japan
Zhao‐Yuan Hu China
Manabu Matsuda relative to Takao Mori Japan Takao Mori's profile →
Citations per field
00.5×2.5×
Takao Mori · 1×
Citations per year

Countries citing papers authored by Manabu Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Manabu Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manabu Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Matsuda. A scholar is included among the top collaborators of Manabu 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 Manabu Matsuda. Manabu 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
#WorkIndexed citations
1 2
2 25
3 32
4 4
5
Up-regulation of thymosin beta 4 gene expression in experimentally-induced uterine adenomyosis in mice.
2
6 11
7 200
8 68
9 10
10 3
11 6
12 13
13 24
14 15
15 14
16 21
17 17
18 26
19 6
20 1

About Manabu Matsuda

Manabu Matsuda is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 906 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (10 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Sperm and Testicular Function (7 papers). The work is most often cited by research in Reproductive Medicine (204 citations), Obstetrics and Gynecology (88 citations) and Physiology (39 citations). Manabu Matsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takao Mori, Nelson D. Horseman, Zhaoyuan Hou, Jason P. Bailey, Tatsuhiko Imaoka, Archie J. Vomachka, Meenakshi J. Mistry, Diego J. Walther, Michael Bäder and Gary A. Gudelsky. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

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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