Jun-Wei Su

1.1k citations
76 papers · 678 · h-index 15

Impact in

    • Prenatal Screening and Diagnostics
    • Fetal and Pediatric Neurological Disorders
    • Assisted Reproductive Technology and Twin Pregnancy
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genetic Syndromes and Imprinting

Papers in

Jun-Wei Su

76 papers receiving 617 citations

Peers

Jun-Wei Su
Comparison fields: 5 of 50
  • Pediatrics, Perinatology and Child Health 256
  • Genetics 371
  • Developmental Biology 12
  • Molecular Biology 141
  • Urology 11
Replace Chen‐Wen Pan with:
Chen‐Wen Pan Taiwan
Chen‐Chi Lee Taiwan
Nathalie Leporrier France
Sandra Peacock United States
Helena G. Ilyina United States
Drew Duckett United Kingdom
Joaquín Diaz-Recasens Spain
L Y Hsu United States
Jean‐Louis Taillemite France
R. Rauskolb Germany
Jun-Wei Su relative to Chen‐Wen Pan Taiwan Chen‐Wen Pan's profile →
Citations per field
00.5×1.5×2.4×
Chen‐Wen Pan · 1×
Citations per year

Countries citing papers authored by Jun-Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Wei Su. 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 Jun-Wei Su. The network helps show where Jun-Wei Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201331
2 201327
3 201225
4 201320
5 201319
6 201319
7 201319
8 201118
9 201318
10 201316
11 201215
12 201215
13 201214
14 201314
15 201314
16 201313
17 201313
18 201313
19 201312
20 201212

About Jun-Wei Su

Jun-Wei Su is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery and Plant Science, having authored 76 papers that have together received 678 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (34 papers), Prenatal Screening and Diagnostics (31 papers), Congenital heart defects research (8 papers), Congenital Anomalies and Fetal Surgery (8 papers), Connective tissue disorders research (6 papers), Chromosomal and Genetic Variations (5 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (256 citations), Genetics (371 citations), Developmental Biology (12 citations), Molecular Biology (141 citations) and Urology (11 citations). Jun-Wei Su has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chih‐Ping Chen, Wayseen Wang, Schu‐Rern Chern, Peih-Shan Wu, Yi‐Ning Su, Yi‐Yung Chen, Lifeng Chen, Chen‐Chi Lee, Chen‐Wen Pan and Wenlin Chen. Their work appears in journals such as Gene, Taiwanese Journal of Obstetrics and Gynecology, European Journal of Medical Genetics, Medicine and Genomics.

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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