Da‐Hyun Song

14 papers and 587 indexed citations i.

About

Da‐Hyun Song is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Da‐Hyun Song has authored 14 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Biomedical Engineering. Recurrent topics in Da‐Hyun Song’s work include Bone Metabolism and Diseases (4 papers), Biomarkers in Disease Mechanisms (2 papers) and Metabolic Engineering and Synthetic Biology (2 papers). Da‐Hyun Song is often cited by papers focused on Bone Metabolism and Diseases (4 papers), Biomarkers in Disease Mechanisms (2 papers) and Metabolic Engineering and Synthetic Biology (2 papers). Da‐Hyun Song collaborates with scholars based in South Korea and Germany. Da‐Hyun Song's co-authors include Uwe T. Bornscheuer, Hyun‐Young Jang, Ji‐Won Song, Jin‐Byung Park, Deok‐Kun Oh, Eun‐Ju Chang, Bongkun Choi, Yeon‐Ho Chung, Eun Jin Lee and Youngsup Song and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Dairy Science and Journal of Cellular Physiology.

In The Last Decade

Co-authorship network of co-authors of Da‐Hyun Song i

Fields of papers citing papers by Da‐Hyun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Da‐Hyun Song

Since Specialization
Citations

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