Ming-Jer Chen

43 papers receiving 554 citations

Peers

Ming-Jer Chen
Comparison fields: 5 of 66
  • Reproductive Medicine 137
  • Public Health, Environmental and Occupational Health 155
  • Strategy and Management 83
  • Pediatrics, Perinatology and Child Health 55
  • Obstetrics and Gynecology 35
Replace Jyothi Shetty with:
Jyothi Shetty India
John Stevens United States
Herbert Zech Germany
Chung K. Kim United States
James F. Smith United States
Michael P. Riordan United States
Kristen M. Getchell United States
Christopher Adams United States
Toru Hirata Japan
Zhanna R. Gardanova Russia
Ming-Jer Chen relative to Jyothi Shetty India Jyothi Shetty's profile →
Citations per field
00.5×2×4×5.9×
Jyothi Shetty · 1×
Citations per year

Countries citing papers authored by Ming-Jer Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Jer Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Jer 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 Ming-Jer Chen. The network helps show where Ming-Jer Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 200160
3 201047
4 200943
5 200342
6 200742
7 202241
8 200321
9 200520
10 201218
11 201418
12 202318
13 201716
14 201512
15 201712
16 20228
17 20238
18 20207
19 20236
20 20236

About Ming-Jer Chen

Ming-Jer Chen is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Biophysics, having authored 46 papers that have together received 594 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (15 papers), Reproductive Health and Technologies (9 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Ovarian function and disorders (4 papers), Uterine Myomas and Treatments (3 papers), Reproductive System and Pregnancy (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Reproductive Medicine (137 citations), Public Health, Environmental and Occupational Health (155 citations), Strategy and Management (83 citations), Pediatrics, Perinatology and Child Health (55 citations) and Obstetrics and Gynecology (35 citations). Ming-Jer Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Chiao Yi, Richard N. Cooper, Weichen Lin, John G. Michel, Danny L. Miller, Esther Shih‐Chu Ho, Ya‐Fang Chen, Chien‐Hsing Lu, Shih‐Tien Hsu and Chih‐En Kuo. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Journal of Assisted Reproduction and Genetics, Archives of Gynecology and Obstetrics 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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