Ying‐Chin Wu

19 papers and 779 indexed citations i.

About

Ying‐Chin Wu is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Dermatology. According to data from OpenAlex, Ying‐Chin Wu has authored 19 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Dermatology. Recurrent topics in Ying‐Chin Wu’s work include Infant Development and Preterm Care (6 papers), Neonatal Respiratory Health Research (3 papers) and Neonatal and fetal brain pathology (3 papers). Ying‐Chin Wu is often cited by papers focused on Infant Development and Preterm Care (6 papers), Neonatal Respiratory Health Research (3 papers) and Neonatal and fetal brain pathology (3 papers). Ying‐Chin Wu collaborates with scholars based in Taiwan and United States. Ying‐Chin Wu's co-authors include Beth C. Gladen, Kun‐Long Hung, Walter J. Rogan, Ling-Yu Shih, James S. Taylor, Chen‐Chin Hsu, N. Beth Ragan, Nan‐Chang Chiu, Wu‐Shiun Hsieh and Suh‐Fang Jeng and has published in prestigious journals such as Science, Environmental Health Perspectives and Journal of the American Academy of Dermatology.

In The Last Decade

Co-authorship network of co-authors of Ying‐Chin Wu i

Fields of papers citing papers by Ying‐Chin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying‐Chin Wu

Since Specialization
Citations

This map shows the geographic impact of Ying‐Chin 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‐Chin 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‐Chin 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