Tadashi Okimura

755 citations
30 papers · 534 · h-index 17

Impact in

Papers in

Tadashi Okimura

30 papers receiving 469 citations

Peers

Tadashi Okimura
Comparison fields: 5 of 51
  • Reproductive Medicine 221
  • Public Health, Environmental and Occupational Health 453
  • Pediatrics, Perinatology and Child Health 269
  • Equine 19
  • Health Informatics 9
Replace A Bernabéu with:
A Bernabéu Spain
Michael Femi Obasaju United States
Francisco Vergara Spain
Mercè Durban Spain
E Cefalù Italy
Khalid M. Sultan United States
Murat Fındık Türkiye
Birgit Alsbjerg Denmark
P. L. Matson Australia
Marcos Iuri Roos Kulmann Brazil
Tadashi Okimura relative to A Bernabéu Spain A Bernabéu's profile →
Citations per field
00.5×9.5×
A Bernabéu · 1×
Citations per year

Countries citing papers authored by Tadashi Okimura

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Okimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199454
2 201550
3 202145
4 202144
5 201830
6 201827
7 202027
8 202123
9 202222
10 202221
11 202220
12 201419
13 201918
14 201618
15 200518
16 202017
17 199616
18 202116
19 202112
20 200911

About Tadashi Okimura

Tadashi Okimura is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Molecular Biology and Immunology, having authored 30 papers that have together received 534 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (28 papers), Assisted Reproductive Technology and Twin Pregnancy (18 papers), Prenatal Screening and Diagnostics (10 papers), Reproductive Health and Technologies (8 papers), Ovarian function and disorders (7 papers), Reproductive System and Pregnancy (4 papers), Pluripotent Stem Cells Research (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (221 citations), Public Health, Environmental and Occupational Health (453 citations), Pediatrics, Perinatology and Child Health (269 citations), Equine (19 citations) and Health Informatics (9 citations). Tadashi Okimura has collaborated with scholars based in Sri Lanka, Japan and United Kingdom. Frequent co-authors include Keiichi Kato, Kazuo Uchiyama, Satoshi Ueno, Akiko Yabuuchi, Kenji Ezoe, Tamotsu Kobayashi, Jørgen Berntsen, Tetsuya Miki, Takashi Okuno and Tomoko Kuroda. Their work appears in journals such as Reproductive BioMedicine Online, Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Reproductive Biology and Endocrinology and Human 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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