Ting-hsu Chen

3 papers and 221 indexed citations i.

About

Ting-hsu Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Ting-hsu Chen has authored 3 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Epidemiology. Recurrent topics in Ting-hsu Chen’s work include Genetic Associations and Epidemiology (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Neonatal Respiratory Health Research (1 paper). Ting-hsu Chen is often cited by papers focused on Genetic Associations and Epidemiology (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Neonatal Respiratory Health Research (1 paper). Ting-hsu Chen collaborates with scholars based in United States. Ting-hsu Chen's co-authors include Jemma B. Wilk, Daniel J. Gottlieb, George O'connor, Edwin K. Silverman, Richard H. Myers, Scott T. Weiss, Michael W. Nagle, Brian J. Brandler, Ingrid B. Borecki and Robert Walter and has published in prestigious journals such as New England Journal of Medicine, The American Journal of Medicine and PLoS Genetics.

In The Last Decade

Co-authorship network of co-authors of Ting-hsu Chen i

Fields of papers citing papers by Ting-hsu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting-hsu Chen

Since Specialization
Citations

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