Chen‐Wen Pan

948 citations
68 papers · 593 · h-index 14

Impact in

Papers in

Chen‐Wen Pan

62 papers receiving 552 citations

Peers

Chen‐Wen Pan
Comparison fields: 5 of 37
  • Pediatrics, Perinatology and Child Health 418
  • Genetics 438
  • Developmental Biology 24
  • Surgery 124
  • Plant Science 98
Replace Shin-Wen Chen with:
Shin-Wen Chen Taiwan
Jun-Wei Su Taiwan
Dai‐Dyi Town Taiwan
Jingly Fung United States
Melody White United States
Nathalie Leporrier France
Brenda Lomax Canada
E. J. Maher United Kingdom
Dehua Cheng China
Drew Duckett United Kingdom
Chen‐Wen Pan relative to Shin-Wen Chen Taiwan Shin-Wen Chen's profile →
Citations per field
00.5×11×
Shin-Wen Chen · 1×
Citations per year

Countries citing papers authored by Chen‐Wen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Wen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 200642
3 200432
4 199828
5 200526
6 201225
7 200222
8 201621
9 201318
10 201618
11 201117
12 201214
13 202013
14 201313
15 201313
16 201712
17 201012
18 201711
19 201711
20 201711

About Chen‐Wen Pan

Chen‐Wen Pan is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Surgery, Molecular Biology and Plant Science, having authored 68 papers that have together received 593 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (60 papers), Genomic variations and chromosomal abnormalities (54 papers), Congenital Anomalies and Fetal Surgery (18 papers), Chromosomal and Genetic Variations (16 papers), Genetic Syndromes and Imprinting (13 papers), Congenital heart defects research (8 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (418 citations), Genetics (438 citations), Developmental Biology (24 citations), Surgery (124 citations) and Plant Science (98 citations). Chen‐Wen Pan has collaborated with scholars based in Taiwan. Frequent co-authors include Chih‐Ping Chen, Wayseen Wang, Schu‐Rern Chern, Peih-Shan Wu, Chen‐Chi Lee, Shin-Wen Chen, Jun-Wei Su, Fuu‐Jen Tsai, Chien-Wen Yang and Pei-Chen Wu. Their work appears in journals such as Taiwanese Journal of Obstetrics and Gynecology, Gene, Prenatal Diagnosis, American Journal of Medical Genetics Part A and Journal of Medical Ultrasound.

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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