Min Chen

3.1k citations
150 papers · 1.9k · h-index 22

Impact in

Papers in

Min Chen

140 papers receiving 1.9k citations

Peers

Min Chen
Comparison fields: 5 of 126
  • Pediatrics, Perinatology and Child Health 638
  • Obstetrics and Gynecology 168
  • Cancer Research 255
  • Infectious Diseases 224
  • Genetics 261
Replace David Tucker with:
David Tucker United Kingdom
Pankaj B. Agrawal United States
Elin Grundberg United States
Romana T. Netea‐Maier Netherlands
Nanbert Zhong United States
О. Н. Ткачева Russia
Mitsutoshi Iwashita Japan
Mengyuan Liu China
Carolien Panhuysen United States
Min Chen relative to David Tucker United Kingdom David Tucker's profile →
Citations per field
00.5×3.2×
David Tucker · 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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020204
2 2019161
3 200981
4 201366
5 202055
6 201951
7 200447
8 201547
9 202146
10 201242
11 201040
12 200239
13 200437
14 200237
15 201636
16 200229
17 202026
18 201625
19 202024
20 201823

About Min Chen

Min Chen is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Surgery, having authored 150 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (52 papers), Genomic variations and chromosomal abnormalities (24 papers), Fetal and Pediatric Neurological Disorders (19 papers), Parvovirus B19 Infection Studies (13 papers), RNA modifications and cancer (12 papers), Pregnancy and preeclampsia studies (12 papers), Congenital Anomalies and Fetal Surgery (11 papers) and Assisted Reproductive Technology and Twin Pregnancy (9 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (638 citations), Obstetrics and Gynecology (168 citations), Cancer Research (255 citations), Infectious Diseases (224 citations) and Genetics (261 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, Xinhui Chen, Nan Meng, Yung Hang Lam, De Chen, Tak Yeung Leung, Song Zhu and Jizhong Wang. Their work appears in journals such as Prenatal Diagnosis, The Journal of Maternal-Fetal & Neonatal Medicine, BMC Pregnancy and Childbirth, European Journal of Obstetrics & Gynecology and Reproductive Biology and Frontiers in Genetics.

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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