Takao Mori

1.6k citations
79 papers · 1.4k indexed · h-index 20

Takao Mori

78 papers receiving 1.3k citations

Peers

Takao Mori
Comparison fields: 5 of 89
  • Reproductive Medicine 415
  • Obstetrics and Gynecology 180
  • Health, Toxicology and Mutagenesis 306
  • Genetics 379
  • Immunology 275
Replace A. N. Brooks with:
A. N. Brooks United Kingdom
Manabu Matsuda Japan
Hisahiko Hiroi Japan
Joseph Orly Israel
Hiroshi Kogo Japan
Margaret M. Hinshelwood United States
Hellevi Peltoketo Finland
Teruo Sugawara Japan
Marian R. Walters United States
Holly Boettger‐Tong United States
Takao Mori relative to A. N. Brooks United Kingdom A. N. Brooks's profile →
Citations per field
00.5×1.5×2.4×
A. N. Brooks · 1×
Citations per year

Countries citing papers authored by Takao Mori

Since Specialization
Citations

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

Fields of papers citing papers by Takao Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20054
2 200411
3 200315
4 20026
5 200112
6 200113
7 200124
8 20006
9 199914
10 199815
11 199721
12 199541
13 19956
14 19931
15 199311
16
Causal analysis of the development of uterine adenomyosis in mice
19898
17 19865
18 1983136
19
Changes in Reproductive Organs and Some Other Glands in Old C3H/MS Mice Treated Neonatally with Low Doses of Estrogen
19688
20
Changes in Alkaline Phosphatase Activity and Mitotic Rate in Vaginal Epithelium Following Estrogen Injections in Neonatally Estrogenized Mice
19676

About Takao Mori

Takao Mori is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (18 papers), Estrogen and related hormone effects (17 papers), Reproductive System and Pregnancy (15 papers), Reproductive Biology and Fertility (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Uterine Myomas and Treatments (7 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Reproductive Medicine (415 citations), Obstetrics and Gynecology (180 citations) and Health, Toxicology and Mutagenesis (306 citations). Takao Mori has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Manabu Matsuda, Howard A. Bern, Seiichiro Kawashima, Hiroshi Nagasawa, Min Kyun Park, Yasumasa Arai, Karen T. Mills, Tippawan Singtripop, Yasuhisa Akazome and Lovell A. Jones. Their work appears in journals such as Life Sciences, Cell and Tissue Research, European Journal of Endocrinology, Journal of Experimental Zoology and American Journal of Obstetrics and Gynecology.

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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2026