Hsin‐Fu Chen

4.6k citations
114 papers · 3.6k · h-index 35

Impact in

Papers in

Hsin‐Fu Chen

113 papers receiving 3.5k citations

Peers

Hsin‐Fu Chen
Comparison fields: 5 of 148
  • Reproductive Medicine 1.4k
  • Obstetrics and Gynecology 439
  • Public Health, Environmental and Occupational Health 1.1k
  • Immunology 733
  • Pediatrics, Perinatology and Child Health 418
Replace Ioannis Georgiou with:
Ioannis Georgiou Greece
Hiroki Nakayama Japan
Qinglei Li China
Tianjiao Chu United States
Liang Hu China
Yoshiki Kudo Japan
Keqin Hua China
J D Davies United Kingdom
Juan F. Garcı́a Spain
Koji Nakagawa Japan
Hsin‐Fu Chen relative to Ioannis Georgiou Greece Ioannis Georgiou's profile →
Citations per field
00.5×1.5×2.2×
Ioannis Georgiou · 1×
Citations per year

Countries citing papers authored by Hsin‐Fu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Fu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015288
2 1999125
3 1995124
4 2001114
5 2006113
6 2019112
7 2011110
8 200596
9 200083
10 200483
11 201180
12 199978
13 201073
14 200667
15 199566
16 201261
17 199660
18 201554
19 199753
20 200250

About Hsin‐Fu Chen

Hsin‐Fu Chen is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Immunology and Pediatrics, Perinatology and Child Health, having authored 114 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (35 papers), Reproductive System and Pregnancy (25 papers), Pluripotent Stem Cells Research (22 papers), Ovarian function and disorders (19 papers), Endometriosis Research and Treatment (14 papers), Prenatal Screening and Diagnostics (13 papers), Reproductive Health and Technologies (13 papers) and Assisted Reproductive Technology and Twin Pregnancy (13 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Obstetrics and Gynecology (439 citations), Public Health, Environmental and Occupational Health (1.1k citations), Immunology (733 citations) and Pediatrics, Perinatology and Child Health (418 citations). Hsin‐Fu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hong‐Nerng Ho, Yu‐Shih Yang, Shee‐Uan Chen, Kuang‐Han Chao, Hung‐Chih Kuo, Ming‐Yih Wu, Yih‐Ron Lien, Shau‐Ping Lin, Mei‐Jou Chen and C. L. Chien. Their work appears in journals such as Human Reproduction, Fertility and Sterility, American Journal of Reproductive Immunology, The Journal of Clinical Endocrinology & Metabolism and American Journal of Obstetrics and Gynecology.

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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