James Song

13 papers and 551 indexed citations i.

About

James Song is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, James Song has authored 13 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in James Song’s work include Lipoproteins and Cardiovascular Health (3 papers), Urinary Tract Infections Management (3 papers) and Urinary Bladder and Prostate Research (3 papers). James Song is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Urinary Tract Infections Management (3 papers) and Urinary Bladder and Prostate Research (3 papers). James Song collaborates with scholars based in United States, China and Italy. James Song's co-authors include Peter Pertel, Shurjeel Choudhri, Philip Giordano, Shengli Zhang, Karl H. Weisgraber, Lei Zhang, Steven F. Kowalsky, Gang Ren, Mark A. Malangoni and Benjamin A. Lipsky and has published in prestigious journals such as Annals of Surgery, The Journal of Urology and Journal of Lipid Research.

In The Last Decade

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

Fields of papers citing papers by James Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Song

Since Specialization
Citations

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