Bayasula

701 citations
24 papers · 516 · h-index 15

Impact in

    • Ovarian function and disorders
    • Endometriosis Research and Treatment
    • Hypothalamic control of reproductive hormones
    • Sperm and Testicular Function
    • Uterine Myomas and Treatments

Papers in

Bayasula

22 papers receiving 513 citations

Peers

Bayasula
Comparison fields: 5 of 56
  • Reproductive Medicine 285
  • Obstetrics and Gynecology 68
  • Public Health, Environmental and Occupational Health 157
  • Immunology 102
  • Molecular Biology 146
Replace Natalia Pascuali with:
Natalia Pascuali Argentina
JongYeob Choi South Korea
Shuichi Manabe Japan
Maëliss Peigné France
Dongzhi Yuan China
Jitu W. George United States
Weiran Chai China
J. Kleinstein Germany
M. Jo South Korea
Bayasula relative to Natalia Pascuali Argentina Natalia Pascuali's profile →
Citations per field
00.5×1.5×2.0×
Natalia Pascuali · 1×
Citations per year

Countries citing papers authored by Bayasula

Since Specialization
Citations

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

Fields of papers citing papers by Bayasula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 201669
3 201254
4 201334
5 201630
6 201929
7 202229
8 201929
9 201818
10 202117
11 201316
12 202415
13 202014
14 201814
15 201114
16 201613
17 201711
18 202010
19 20138
20 20215

About Bayasula

Bayasula is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Obstetrics and Gynecology and Immunology, having authored 24 papers that have together received 516 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (10 papers), Reproductive Biology and Fertility (7 papers), Ovarian function and disorders (6 papers), Uterine Myomas and Treatments (4 papers), Reproductive System and Pregnancy (3 papers), Hypothalamic control of reproductive hormones (2 papers), Plant Reproductive Biology (2 papers) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (285 citations), Obstetrics and Gynecology (68 citations), Public Health, Environmental and Occupational Health (157 citations), Immunology (102 citations) and Molecular Biology (146 citations). Bayasula has collaborated with scholars based in Japan. Frequent co-authors include Tomoko Nakamura, Maki Goto, Akira Iwase, Fumitaka Kikkawa, Tomomi Kotani, Tatsuo Nakahara, Mika Kondo, Satoko Osuka, Sachiko Takikawa and Hiroharu Kobayashi. Their work appears in journals such as Reproductive Sciences, Reproductive Biology and Endocrinology, Journal of Assisted Reproduction and Genetics, Endocrinology and Frontiers in Endocrinology.

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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