Hyuk Song

146 papers and 2.4k indexed citations i.

About

Hyuk Song is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Hyuk Song has authored 146 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 40 papers in Public Health, Environmental and Occupational Health and 35 papers in Reproductive Medicine. Recurrent topics in Hyuk Song’s work include Reproductive Biology and Fertility (39 papers), Sperm and Testicular Function (33 papers) and Pluripotent Stem Cells Research (24 papers). Hyuk Song is often cited by papers focused on Reproductive Biology and Fertility (39 papers), Sperm and Testicular Function (33 papers) and Pluripotent Stem Cells Research (24 papers). Hyuk Song collaborates with scholars based in South Korea, China and United States. Hyuk Song's co-authors include Jin‐Hoi Kim, Chankyu Park, Kwonho Hong, Sangiliyandi Gurunathan, Jeong Tae, Hyun-Jung Park, Youngsok Choi, Muhammad Qasim, Won‐Young Lee and Ran Lee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Co-authorship network of co-authors of Hyuk Song i

Fields of papers citing papers by Hyuk Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyuk Song

Since Specialization
Citations

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