Sungki Hong

19 papers and 1.2k indexed citations i.

About

Sungki Hong is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Sungki Hong has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Sungki Hong’s work include PI3K/AKT/mTOR signaling in cancer (8 papers), Immune Cell Function and Interaction (3 papers) and Polyamine Metabolism and Applications (3 papers). Sungki Hong is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Immune Cell Function and Interaction (3 papers) and Polyamine Metabolism and Applications (3 papers). Sungki Hong collaborates with scholars based in United States, Japan and China. Sungki Hong's co-authors include Ken Inoki, Sei Yoshida, Satoko Arakawa, Takayuki Nakashima, Shamith A. Samarajiwa, Manuela Ferreira, Masashi Narita, Lorraine Berry, Andrew Young and Simon Tavaré and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Sungki Hong i

Fields of papers citing papers by Sungki Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungki Hong

Since Specialization
Citations

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