Sungman Cha

54 papers and 2.9k indexed citations i.

About

Sungman Cha is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sungman Cha has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sungman Cha’s work include Biochemical and Molecular Research (28 papers), Enzyme function and inhibition (8 papers) and Adenosine and Purinergic Signaling (7 papers). Sungman Cha is often cited by papers focused on Biochemical and Molecular Research (28 papers), Enzyme function and inhibition (8 papers) and Adenosine and Purinergic Signaling (7 papers). Sungman Cha collaborates with scholars based in United States and South Korea. Sungman Cha's co-authors include Mahmoud H. el Kouni, Robert E. Parks, Fardos N.M. Naguib, Shih Hsi Chu, John G. Niedzwicki, Max H. Iltzsch, Ram P. Agarwal, Norma J. Messier, Ming Chu and E. Reich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Sungman Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungman Cha

Since Specialization
Citations

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