S. Matoba

658 citations
30 papers · 507 indexed · h-index 13

Impact in

Papers in

S. Matoba

28 papers receiving 492 citations

Peers

S. Matoba
Comparison fields: 5 of 53
  • Reproductive Medicine 233
  • Public Health, Environmental and Occupational Health 432
  • Agronomy and Crop Science 116
  • Genetics 139
  • Pediatrics, Perinatology and Child Health 64
Replace Hitoshi Ushijima with:
Hitoshi Ushijima Japan
L. O. Leme Brazil
M. G. Catalá Spain
R. Rossetto Brazil
J.P. Renard France
Thanh Quang Dang‐Nguyen Japan
L.B. Love United States
J.E. Stokes United States
S. Tachikawa Japan
G. M. Machado Brazil
S. Matoba relative to Hitoshi Ushijima Japan Hitoshi Ushijima's profile →
Citations per field
00.5×3.8×
Hitoshi Ushijima · 1×
Citations per year

Countries citing papers authored by S. Matoba

Since Specialization
Citations

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

Fields of papers citing papers by S. Matoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S. Matoba, 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 S. Matoba Line = papers co-authored together S. Matoba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202211
2 201911
3 20191
4 201828
5 201810
6 201717
7 201637
8 201622
9 20164
10 20156
11 201320
12 201377
13 201231
14 201015
15 20101
16 200838
17 20071
18 20051
19 20052
20 200236

About S. Matoba

S. Matoba is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Pediatrics, Perinatology and Child Health and Genetics, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (26 papers), Sperm and Testicular Function (7 papers), Pluripotent Stem Cells Research (6 papers), Ovarian function and disorders (6 papers), Animal Genetics and Reproduction (5 papers), Reproductive Health and Technologies (4 papers), Reproductive Physiology in Livestock (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Reproductive Medicine (233 citations), Public Health, Environmental and Occupational Health (432 citations), Agronomy and Crop Science (116 citations), Genetics (139 citations) and Pediatrics, Perinatology and Child Health (64 citations). S. Matoba has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include P. Lonergan, K. Imai, Trudee Fair, T. Somfai, Takashi Nagai, M. Geshi, Y. Inaba, O. Dochi, Solomon Mamo and Satoshi Sugimura. Their work appears in journals such as Reproduction Fertility and Development, Journal of Reproduction and Development, Animal Science Journal, Theriogenology and Journal of Dairy Science.

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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