Chao‐Nin Wang

673 citations
25 papers · 526 · h-index 14

Impact in

Papers in

Chao‐Nin Wang

25 papers receiving 517 citations

Peers

Chao‐Nin Wang
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 213
  • Pediatrics, Perinatology and Child Health 253
  • Complementary and alternative medicine 38
  • Immunology 89
  • Reproductive Medicine 33
Replace Yanhua Han with:
Yanhua Han China
Yong Jin Na South Korea
Farzaneh Farajian‐Mashhadi Iran
Peihao Liu China
Yiping Yu China
Gökalp Öner Türkiye
Yingfang Zhou China
Yukun Liu China
Ling Ma China
Chao‐Nin Wang relative to Yanhua Han China Yanhua Han's profile →
Citations per field
00.5×11.8×
Yanhua Han · 1×
Citations per year

Countries citing papers authored by Chao‐Nin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Nin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Nin Wang. 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 Chao‐Nin Wang. The network helps show where Chao‐Nin Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 200970
3 201055
4 200743
5 200936
6 201134
7 200822
8 200821
9 201118
10 201117
11 201116
12 201115
13 201215
14 201314
15 201212
16 201011
17 201311
18 201310
19 20128
20
Mirror syndrome after fetoscopic laser therapy for twin-twin transfusion syndrome due to transient donor hydrops that resolved before delivery. A case report.
20147

About Chao‐Nin Wang

Chao‐Nin Wang is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Immunology, Surgery and Epidemiology, having authored 25 papers that have together received 526 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (13 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers), Prenatal Screening and Diagnostics (9 papers), Birth, Development, and Health (5 papers), Reproductive System and Pregnancy (4 papers), Intestinal Malrotation and Obstruction Disorders (1 paper), MicroRNA in disease regulation (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (213 citations), Pediatrics, Perinatology and Child Health (253 citations), Complementary and alternative medicine (38 citations), Immunology (89 citations) and Reproductive Medicine (33 citations). Chao‐Nin Wang has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include An‐Shine Chao, Shuenn‐Dyh Chang, Yao‐Lung Chang, Tzu‐Hao Wang, Hsiao‐Ting Wu, Jong‐Hwei S. Pang, Sheng‐Teng Huang, Hsin‐Shih Wang, Po‐Jen Cheng and Ling‐Hong Tseng. Their work appears in journals such as Prenatal Diagnosis, Fertility and Sterility, Twin Research and Human Genetics, Stem Cells and Development and Free Radical Biology and 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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