Ying-King Wu

12 papers and 512 indexed citations i.

About

Ying-King Wu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Rheumatology. According to data from OpenAlex, Ying-King Wu has authored 12 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 7 papers in Pediatrics, Perinatology and Child Health and 3 papers in Rheumatology. Recurrent topics in Ying-King Wu’s work include Gestational Diabetes Research and Management (10 papers), Pregnancy and preeclampsia studies (6 papers) and Birth, Development, and Health (4 papers). Ying-King Wu is often cited by papers focused on Gestational Diabetes Research and Management (10 papers), Pregnancy and preeclampsia studies (6 papers) and Birth, Development, and Health (4 papers). Ying-King Wu collaborates with scholars based in United States and Israel. Ying-King Wu's co-authors include E. Albert Reece, Carol J. Homko, Eyal Sivan, Michael Borenstein, E. Albert Reece, Yi-Chun Lee, M Polansky, Meena Khandelwal, Zhiyong Zhao and Arnon Wiznitzer and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Birth Defects Research and Clinics in Perinatology.

In The Last Decade

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

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.

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).

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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2025