Wook Song

142 papers and 3.8k indexed citations i.

About

Wook Song is a scholar working on Physiology, Molecular Biology and Rehabilitation. According to data from OpenAlex, Wook Song has authored 142 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Physiology, 28 papers in Molecular Biology and 27 papers in Rehabilitation. Recurrent topics in Wook Song’s work include Adipose Tissue and Metabolism (31 papers), Nutrition and Health in Aging (21 papers) and Exercise and Physiological Responses (20 papers). Wook Song is often cited by papers focused on Adipose Tissue and Metabolism (31 papers), Nutrition and Health in Aging (21 papers) and Exercise and Physiological Responses (20 papers). Wook Song collaborates with scholars based in South Korea, United States and China. Wook Song's co-authors include John M. Lawler, Hyo‐Bum Kwak, Dong Hyun Yoon, Holly Van Remmen, Byunghun So, Arlan Richardson, Youngmok C. Jang, Jin‐Soo Kim, Jun‐Young Lee and M. Sabia and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Brain Research.

In The Last Decade

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

Fields of papers citing papers by Wook Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wook Song

Since Specialization
Citations

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