Ren‐Wei Su

1.6k citations
41 papers · 1.3k · h-index 19

Impact in

    • Endometriosis Research and Treatment
    • Pregnancy and preeclampsia studies
    • Uterine Myomas and Treatments
    • Endometrial and Cervical Cancer Treatments
    • Gynecological conditions and treatments

Papers in

Ren‐Wei Su

40 papers receiving 1.2k citations

Peers

Ren‐Wei Su
Comparison fields: 5 of 79
  • Reproductive Medicine 544
  • Obstetrics and Gynecology 358
  • Immunology 750
  • Cancer Research 186
  • Public Health, Environmental and Occupational Health 165
Replace Alicia Quiñonero with:
Alicia Quiñonero Spain
L.C. Giudice United States
Jinli Ding China
Andrew N. Stephens Australia
Kyoko Kasahara Japan
Aurélie Auguste France
Toshihiko Shikone Japan
Victor A. Chao United States
Emi Nose Japan
Damayanti Chakraborty United States
Ren‐Wei Su relative to Alicia Quiñonero Spain Alicia Quiñonero's profile →
Citations per field
00.5×1.5×2.5×
Alicia Quiñonero · 1×
Citations per year

Countries citing papers authored by Ren‐Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren‐Wei Su. 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 Ren‐Wei Su. The network helps show where Ren‐Wei Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008184
2 2014111
3 201994
4 201594
5 201193
6 201262
7 200856
8 201652
9 201649
10 200741
11 202039
12 201038
13 201034
14 201534
15 201231
16 201726
17 202120
18 202220
19 201719
20 202017

About Ren‐Wei Su

Ren‐Wei Su is a scholar working on Immunology, Reproductive Medicine, Obstetrics and Gynecology, Genetics and Molecular Biology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (30 papers), Endometriosis Research and Treatment (21 papers), Pregnancy and preeclampsia studies (5 papers), Estrogen and related hormone effects (4 papers), Reproductive Physiology in Livestock (3 papers), Uterine Myomas and Treatments (2 papers), MicroRNA in disease regulation (2 papers) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Reproductive Medicine (544 citations), Obstetrics and Gynecology (358 citations), Immunology (750 citations), Cancer Research (186 citations) and Public Health, Environmental and Occupational Health (165 citations). Ren‐Wei Su has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Asgerally T. Fazleabas, Zeng‐Ming Yang, Wei Lei, Jilong Liu, Jae‐Wook Jeong, Michael Strug, Bruce A. Lessey, Niraj Joshi, Xinghong Ma and Hua Ni. Their work appears in journals such as Fertility and Sterility, Biology of Reproduction, Journal of Biological Chemistry, Endocrinology and Microbial Pathogenesis.

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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