Junko Otsuki

37 papers receiving 580 citations

Peers

Junko Otsuki
Comparison fields: 5 of 49
  • Reproductive Medicine 184
  • Public Health, Environmental and Occupational Health 409
  • Pediatrics, Perinatology and Child Health 141
  • Molecular Biology 131
  • Obstetrics and Gynecology 11
Replace C. Alvarez Sedó with:
C. Alvarez Sedó Argentina
Yoshiharu Nakaoka Japan
J. Marcos Spain
Marı́a José Escribá Spain
Shun Takeo Japan
K. Ivani United States
G.D. Palermo United States
Ri‐Cheng Chian China
Michael Barry Australia
Heidi Van Ranst Belgium
Junko Otsuki relative to C. Alvarez Sedó Argentina C. Alvarez Sedó's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junko Otsuki

Since Specialization
Citations

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

Fields of papers citing papers by Junko Otsuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004133
2 200762
3 200852
4 200750
5 201633
6 202227
7 201826
8 200719
9 201719
10 202117
11 201915
12 201214
13 200612
14 201911
15 201110
16 202010
17 20219
18 20129
19
Detection and quantification of male-specific fetal DNA in the serum of pregnant cynomolgus monkeys (Macaca fascicularis).
20159
20 20138

About Junko Otsuki

Junko Otsuki is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Cell Biology, having authored 43 papers that have together received 613 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (29 papers), Ovarian function and disorders (9 papers), Sperm and Testicular Function (9 papers), Prenatal Screening and Diagnostics (8 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Renal and related cancers (4 papers), Reproductive Health and Technologies (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Reproductive Medicine (184 citations), Public Health, Environmental and Occupational Health (409 citations), Pediatrics, Perinatology and Child Health (141 citations), Molecular Biology (131 citations) and Obstetrics and Gynecology (11 citations). Junko Otsuki has collaborated with scholars based in Japan, Australia and Canada. Frequent co-authors include Yasushi Nagai, Kazuyoshi Chiba, Masahide Shiotani, Toshiroh Iwasaki, Noritoshi Enatsu, Shoji Kokeguchi, Yukiko Matsumoto, Haruka Sato, Tadashi Sankai and Yukie Matsuyama. Their work appears in journals such as Fertility and Sterility, Reproductive Medicine and Biology, Journal of Assisted Reproduction and Genetics, Reproductive BioMedicine Online and Systems Biology in Reproductive Medicine.

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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