Shee‐Uan Chen

6.7k citations
211 papers · 5.4k · h-index 43

Impact in

Papers in

Shee‐Uan Chen

206 papers receiving 5.0k citations

Peers

Shee‐Uan Chen
Comparison fields: 5 of 135
  • Reproductive Medicine 2.3k
  • Obstetrics and Gynecology 535
  • Public Health, Environmental and Occupational Health 1.9k
  • Pediatrics, Perinatology and Child Health 726
  • Immunology 689
Replace Yu‐Shih Yang with:
Yu‐Shih Yang Taiwan
Jeff Reese United States
Umit A. Kayisli United States
Haixiang Sun China
Takahide Mori Japan
Kunihiro Okamura Japan
Jim Petrik Canada
Da‐Jin Li China
Sachiko Matsuzaki France
Ray K. Iles United Kingdom
Shee‐Uan Chen relative to Yu‐Shih Yang Taiwan Yu‐Shih Yang's profile →
Citations per field
00.5×1.6×
Yu‐Shih Yang · 1×
Citations per year

Countries citing papers authored by Shee‐Uan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shee‐Uan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shee‐Uan Chen. 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 Shee‐Uan Chen. The network helps show where Shee‐Uan Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003137
2 2001130
3 2003119
4 2005111
5 2006110
6 2013105
7 2009100
8 199797
9 200494
10 200093
11 201381
12 200680
13 200076
14 199572
15 200969
16 199768
17 201168
18 201967
19 201566
20 201265

About Shee‐Uan Chen

Shee‐Uan Chen is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Immunology and Obstetrics and Gynecology, having authored 211 papers that have together received 5.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (55 papers), Ovarian function and disorders (48 papers), Reproductive System and Pregnancy (25 papers), Endometriosis Research and Treatment (22 papers), Sperm and Testicular Function (20 papers), Prenatal Screening and Diagnostics (16 papers), Assisted Reproductive Technology and Twin Pregnancy (15 papers) and Reproductive Health and Technologies (15 papers). The work is most often cited by research in Reproductive Medicine (2.3k citations), Obstetrics and Gynecology (535 citations), Public Health, Environmental and Occupational Health (1.9k citations), Pediatrics, Perinatology and Child Health (726 citations) and Immunology (689 citations). Shee‐Uan Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Shih Yang, Hong‐Nerng Ho, Kuang‐Han Chao, Hsin‐Fu Chen, Chin‐Der Chen, Ming‐Yih Wu, Yih‐Ron Lien, Mei‐Jou Chen, Jehn‐Hsiahn Yang and Chia‐Hung Chou. Their work appears in journals such as Human Reproduction, Fertility and Sterility, Journal of Assisted Reproduction and Genetics, The Journal of Clinical Endocrinology & Metabolism and American Journal of Reproductive Immunology.

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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