Chul Park

45 papers and 732 indexed citations i.

About

Chul Park is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Chul Park has authored 45 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Chul Park’s work include COVID-19 diagnosis using AI (4 papers), Veterinary Oncology Research (4 papers) and Reconstructive Surgery and Microvascular Techniques (3 papers). Chul Park is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Veterinary Oncology Research (4 papers) and Reconstructive Surgery and Microvascular Techniques (3 papers). Chul Park collaborates with scholars based in South Korea, United States and Canada. Chul Park's co-authors include Dae‐Hyun Lew, William C. Lineaweaver, Harry J. Buncke, Chul Park, Young-Hee Jin, Min Seong Jang, Young Kee Shin, Jong Suk Song, Seungtaek Kim and Dong Joon Kim and has published in prestigious journals such as Plastic & Reconstructive Surgery, Biotechnology and Bioengineering and Medicine.

In The Last Decade

Co-authorship network of co-authors of Chul Park i

Fields of papers citing papers by Chul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chul Park. 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 Chul Park. The network helps show where Chul Park may publish in the future.

Countries citing papers authored by Chul Park

Since Specialization
Citations

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