Ying-King Wu

662 citations
12 papers · 525 indexed · h-index 11
Topics
Gestational Diabetes Research and Management (10 papers)Pregnancy and preeclampsia studies (6 papers)Birth, Development, and Health (4 papers)
Partner nations
United StatesIsrael

In The Last Decade

Ying-King Wu

11 papers receiving 507 citations

Peers

Ying-King Wu
Comparison fields: 5 of 58
  • Obstetrics and Gynecology 297
  • Pediatrics, Perinatology and Child Health 273
  • Molecular Biology 103
  • Surgery 99
  • Rheumatology 90
Replace Uday Devaskar with:
Uday Devaskar United States
Mariusz Kuźmicki Poland
Kerry‐Ann da Costa United States
H. Riethmüller-Winzen Germany
L. J. Wells United States
Henkjan Gellekink Netherlands
C. J. Crace United Kingdom
Olivier Dumortier France
M.F. Frecker Canada
Dhanasekaran Bodhini India
Ying-King Wu relative to Uday Devaskar United States Uday Devaskar's profile →
Citations per field
00.5×10×12.9×
Uday Devaskar · 1×
Citations per year

Countries citing papers authored by Ying-King Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ying-King Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-King Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-King Wu. A scholar is included among the top collaborators of Ying-King Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-King Wu. Ying-King Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 14
2 40
3 11
4 13
5 88
6 57
7 61
8 109
9 79
10 0
11 34
12 19

About Ying-King Wu

Ying-King Wu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (10 papers), Pregnancy and preeclampsia studies (6 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Obstetrics and Gynecology (297 citations), Pediatrics, Perinatology and Child Health (273 citations) and Rheumatology (90 citations). Ying-King Wu has collaborated with scholars based in United States and Israel. Frequent co-authors include E. Albert Reece, Carol J. Homko, Eyal Sivan, Michael Borenstein, E. Albert Reece, Yi-Chun Lee, M Polansky, Zhiyong Zhao, Meena Khandelwal and Arnon Wiznitzer. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Clinics in Perinatology and Seminars in Reproductive 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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