Seongho Song

26 papers and 306 indexed citations i.

About

Seongho Song is a scholar working on Statistics and Probability, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Seongho Song has authored 26 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 5 papers in Molecular Biology and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Seongho Song’s work include Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Bayesian Inference (4 papers) and Genetic diversity and population structure (3 papers). Seongho Song is often cited by papers focused on Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Bayesian Inference (4 papers) and Genetic diversity and population structure (3 papers). Seongho Song collaborates with scholars based in United States, South Korea and United Kingdom. Seongho Song's co-authors include Dipak K. Dey, Chansoo Kim, Kent E. Holsinger, Brian D. Lowe, Soo‐Jin Lee, Sunghee Oh, Gregory A. Grabowski, Xia Wang, Nupur Dasgupta and Yvonne M. Ulrich‐Lai and has published in prestigious journals such as Scientific Reports, Evolution and Neuroscience.

In The Last Decade

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

Fields of papers citing papers by Seongho Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seongho Song

Since Specialization
Citations

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