Pei-Chen Wu

759 citations
43 papers · 489 · h-index 14

Impact in

Papers in

Pei-Chen Wu

43 papers receiving 462 citations

Peers

Pei-Chen Wu
Comparison fields: 5 of 67
  • Pediatrics, Perinatology and Child Health 142
  • Genetics 209
  • Nephrology 36
  • Developmental Biology 6
  • Molecular Biology 132
Replace Michelle C. French with:
Michelle C. French New Zealand
Ivo Vanderheyden Belgium
Gal Finer United States
George Rebello South Africa
N. Logghe Belgium
Toshiya Nishikubo Japan
Christian Wentzel Sweden
Susan Marelli Italy
Ansgar S. Olsen United States
Padmanabhan Rengasamy United Arab Emirates
Pei-Chen Wu relative to Michelle C. French New Zealand Michelle C. French's profile →
Citations per field
00.5×3.6×
Michelle C. French · 1×
Citations per year

Countries citing papers authored by Pei-Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 200833
3 201625
4 201025
5 200922
6 201118
7 201017
8 201216
9 201115
10 201715
11 201515
12 201014
13 202014
14 201013
15 201613
16 201013
17 201013
18 201112
19 201112
20 201611

About Pei-Chen Wu

Pei-Chen Wu is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery and Epidemiology, having authored 43 papers that have together received 489 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Prenatal Screening and Diagnostics (6 papers), Congenital heart defects research (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Urological Disorders and Treatments (2 papers), Sepsis Diagnosis and Treatment (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (142 citations), Genetics (209 citations), Nephrology (36 citations), Developmental Biology (6 citations) and Molecular Biology (132 citations). Pei-Chen Wu has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Chih‐Ping Chen, Wayseen Wang, Fuu‐Jen Tsai, Schu‐Rern Chern, Chen‐Chi Lee, Yi‐Ning Su, Chen‐Wen Pan, Shuan-Pei Lin, Yu-Ting Lin and Tzu‐Wen Liang. Their work appears in journals such as Taiwanese Journal of Obstetrics and Gynecology, Oncotarget, Clinical ophthalmology, Oecologia and Evidence-based Complementary and Alternative Medicine.

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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