Mareo Yamoto

1.7k citations
59 papers · 1.4k · h-index 22

Impact in

Papers in

Mareo Yamoto

55 papers receiving 1.4k citations

Peers

Mareo Yamoto
Comparison fields: 5 of 76
  • Reproductive Medicine 638
  • Agronomy and Crop Science 254
  • Obstetrics and Gynecology 171
  • Public Health, Environmental and Occupational Health 556
  • Immunology 272
Replace N. P. Groome with:
N. P. Groome United Kingdom
Mark B. Harvey Australia
Shlomit Goldman Israel
Paul G. Farnworth Australia
Colin D. MacCalman Canada
Sophie Perrier d'HAUTERIVE Belgium
O O Adesanya United States
Mikihiro Yoshie Japan
Daniel H. Riddick United States
D.M. Robertson Australia
Mareo Yamoto relative to N. P. Groome United Kingdom N. P. Groome's profile →
Citations per field
00.5×1.5×
N. P. Groome · 1×
Citations per year

Countries citing papers authored by Mareo Yamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mareo Yamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996134
2 2009131
3 1999127
4 199088
5 199288
6 199676
7 199257
8
Immunohistochemical localization of inhibin/activin subunits in human placenta.
199256
9 199249
10 199042
11 198941
12 199036
13 199734
14 199534
15 200133
16 199232
17 199730
18 199327
19 199423
20 199922

About Mareo Yamoto

Mareo Yamoto is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Agronomy and Crop Science and Immunology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), TGF-β signaling in diseases (14 papers), Reproductive Biology and Fertility (13 papers), Kruppel-like factors research (9 papers), Ovarian function and disorders (8 papers), Reproductive System and Pregnancy (7 papers), Ovarian cancer diagnosis and treatment (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Reproductive Medicine (638 citations), Agronomy and Crop Science (254 citations), Obstetrics and Gynecology (171 citations), Public Health, Environmental and Occupational Health (556 citations) and Immunology (272 citations). Mareo Yamoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Ryuichi Nakano, Toshihiko Shikone, Sawako Minami, Ryosuke Nakano, Katsuji Kokawa, K Nishimori, Aaron J.W. Hsueh, Mika Kobayashi, Akira Ooshima and Katsuhiro Yamashita. Their work appears in journals such as European Journal of Endocrinology, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Gynecologic and Obstetric Investigation.

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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