Shee‐Uan Chen

6.6k citations
208 papers · 4.9k · h-index 40

Impact in

Papers in

Shee‐Uan Chen

203 papers receiving 4.7k citations

Peers

Shee‐Uan Chen
Comparison fields: 5 of 136
  • Reproductive Medicine 2.1k
  • Obstetrics and Gynecology 481
  • Public Health, Environmental and Occupational Health 1.7k
  • Pediatrics, Perinatology and Child Health 658
  • Immunology 652
Replace Tailang Yin with:
Tailang Yin China
Yu‐Shih Yang Taiwan
Ludwig Kiesel Germany
Jeff Reese United States
J. Dietl Germany
Takahide Mori Japan
Kunihiro Okamura Japan
Tsuyoshi Saito Japan
Mahmoud R. Hussein Egypt
Pascal Pigny France
Shee‐Uan Chen relative to Tailang Yin China Tailang Yin's profile →
Citations per field
00.5×4.7×
Tailang Yin · 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 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003130
2 2001114
3 2003113
4 200699
5 200596
6 201394
7 199794
8 200993
9 200083
10 200480
11 200678
12 201378
13 201167
14 199566
15 200065
16 201964
17 200963
18 200862
19 201562
20 201261

About Shee‐Uan Chen

Shee‐Uan Chen is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 208 papers that have together received 4.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (53 papers), Ovarian function and disorders (47 papers), Reproductive System and Pregnancy (25 papers), Endometriosis Research and Treatment (21 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 (14 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Obstetrics and Gynecology (481 citations), Public Health, Environmental and Occupational Health (1.7k citations), Pediatrics, Perinatology and Child Health (658 citations) and Immunology (652 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, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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