Sungman Park

20 papers and 1.7k indexed citations i.

About

Sungman Park is a scholar working on Molecular Biology, Epidemiology and Parasitology. According to data from OpenAlex, Sungman Park has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Parasitology. Recurrent topics in Sungman Park’s work include Autophagy in Disease and Therapy (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Vector-borne infectious diseases (3 papers). Sungman Park is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Vector-borne infectious diseases (3 papers). Sungman Park collaborates with scholars based in United States, South Korea and India. Sungman Park's co-authors include Hong‐Gang Wang, Yoshinori Takahashi, Jong Woo Lee, Richard Jove, Shumin Zhang, Jin Cheng, H. David Kay, Marcin Kortylewski, Gregg L. Semenza and Guilian Niu and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Sungman Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungman Park

Since Specialization
Citations

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