Min Chen

3.3k citations
167 papers · 2.4k · h-index 24

Impact in

Papers in

Min Chen

153 papers receiving 2.3k citations

Peers

Min Chen
Comparison fields: 5 of 132
  • Pediatrics, Perinatology and Child Health 642
  • Cancer Research 261
  • Obstetrics and Gynecology 123
  • Endocrine and Autonomic Systems 67
  • Public Health, Environmental and Occupational Health 228
Replace Dongli Song with:
Dongli Song China
Takashi Ozaki Japan
Otwin Linderkamp Germany
Laila Dahmoush United States
Kenneth L. McCormick United States
Damien Masson France
Siti Zawiah Omar Malaysia
Katarina Vukojević Croatia
Hitoo Nakano Japan
Min Chen relative to Dongli Song China Dongli Song's profile →
Citations per field
00.5×2×3×3.6×
Dongli Song · 1×
Citations per year

Countries citing papers authored by Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020222
2 2019175
3 200991
4 201374
5 201365
6 202061
7 201957
8 200454
9 202151
10 201551
11 202448
12 201645
13 201245
14 200244
15 201942
16 201041
17 200440
18 200239
19 200236
20 202028

About Min Chen

Min Chen is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Cancer Research and Physiology, having authored 167 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (46 papers), Pregnancy and preeclampsia studies (10 papers), RNA modifications and cancer (8 papers), Genomic variations and chromosomal abnormalities (6 papers), Fetal and Pediatric Neurological Disorders (5 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Streptococcal Infections and Treatments (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (642 citations), Cancer Research (261 citations), Obstetrics and Gynecology (123 citations), Endocrine and Autonomic Systems (67 citations) and Public Health, Environmental and Occupational Health (228 citations). Min Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mary Hoi Yin Tang, Chin Peng Lee, Guang‐Rong Yan, Yung Hang Lam, Xinhui Chen, Nan Meng, De Chen, Tak Yeung Leung, Yutian He and Song Zhu. Their work appears in journals such as Prenatal Diagnosis, The Journal of Maternal-Fetal & Neonatal Medicine, Frontiers in Genetics, BMC Pregnancy and Childbirth and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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