Jun-Wei Su

1.1k citations
75 papers · 658 indexed · h-index 14

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

75 papers receiving 598 citations

Peers

Jun-Wei Su
Comparison fields: 5 of 55
  • Pediatrics, Perinatology and Child Health 353
  • Genetics 472
  • Developmental Biology 22
  • Molecular Biology 197
  • Plant Science 99
Replace Chen‐Chi Lee with:
Chen‐Chi Lee Taiwan
Chen‐Wen Pan Taiwan
Shin-Wen Chen Taiwan
Nathalie Leporrier France
Judy Chernos Canada
Idit Maya Israel
Helena G. Ilyina Switzerland
L Y Hsu United States
Susan J. Kirkpatrick United States
Drew Duckett United Kingdom
Jun-Wei Su relative to Chen‐Chi Lee Taiwan Chen‐Chi Lee's profile →
Citations per field
00.5×1.5×2.0×
Chen‐Chi Lee · 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 75 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 201318
8 201318
9 201118
10 201316
11 201215
12 201314
13 201314
14 201214
15 201313
16 201313
17 201313
18 201212
19 201312
20 201211

About Jun-Wei Su

Jun-Wei Su is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Developmental Biology, Urology and Surgery, having authored 75 papers that have together received 658 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (45 papers), Genomic variations and chromosomal abnormalities (38 papers), Chromosomal and Genetic Variations (12 papers), Congenital Anomalies and Fetal Surgery (12 papers), Congenital heart defects research (10 papers), Genetic Syndromes and Imprinting (8 papers), Connective tissue disorders research (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (353 citations), Genetics (472 citations), Developmental Biology (22 citations), Molecular Biology (197 citations) and Plant Science (99 citations). Jun-Wei Su has collaborated with scholars based in Taiwan, Canada and United States. 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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