Haengseok Song

100 papers and 3.3k indexed citations i.

About

Haengseok Song is a scholar working on Immunology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Haengseok Song has authored 100 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 36 papers in Reproductive Medicine and 33 papers in Molecular Biology. Recurrent topics in Haengseok Song’s work include Reproductive System and Pregnancy (43 papers), Reproductive Biology and Fertility (31 papers) and Endometriosis Research and Treatment (25 papers). Haengseok Song is often cited by papers focused on Reproductive System and Pregnancy (43 papers), Reproductive Biology and Fertility (31 papers) and Endometriosis Research and Treatment (25 papers). Haengseok Song collaborates with scholars based in South Korea, United States and China. Haengseok Song's co-authors include Sudhansu K. Dey, Hyunjung Jade Lim, Bibhash C. Paria, Sanjoy K. Das, Wenge Ma, Keun‐Hong Park, Sanjoy Das, Hiromichi Matsumoto, Hyejin Shin and Sang Woo Lyu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Haengseok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haengseok Song

Since Specialization
Citations

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