James Song

23 papers and 1.0k indexed citations
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About

James Song is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James Song has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in James Song’s work include Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). James Song is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). James Song collaborates with scholars based in United States, China and France. James Song's co-authors include Éric Walter, Yong Wang, Yilin Wang, Donghai Mei, Libor Kovařík, Charles H. F. Peden, Nancy Washton, Feng Gao, Sebastian Prodinger and Mark Engelhard and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of James Song

This figure shows the co-authorship network connecting the top 25 collaborators of James Song. A scholar is included among the top collaborators of James Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Song. James Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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2026