Han Song

52 papers and 509 indexed citations i.

About

Han Song is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Surgery. According to data from OpenAlex, Han Song has authored 52 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 9 papers in Health, Toxicology and Mutagenesis and 7 papers in Surgery. Recurrent topics in Han Song’s work include Musculoskeletal pain and rehabilitation (10 papers), Ergonomics and Musculoskeletal Disorders (5 papers) and Heavy Metal Exposure and Toxicity (5 papers). Han Song is often cited by papers focused on Musculoskeletal pain and rehabilitation (10 papers), Ergonomics and Musculoskeletal Disorders (5 papers) and Heavy Metal Exposure and Toxicity (5 papers). Han Song collaborates with scholars based in South Korea, China and United States. Han Song's co-authors include Jin Hwa Kim, Mi Ah Han, Chul Gab Lee, Wenjing Luo, Yongyong Xu, Yi Wan, Xuefeng Shen, Jingyuan Chen, Zheng Gang and Hyun Lee and has published in prestigious journals such as Scientific Reports, Infection and Immunity and Medicine.

In The Last Decade

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

Fields of papers citing papers by Han Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Song

Since Specialization
Citations

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