James Li

37 papers and 633 indexed citations i.

About

James Li is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, James Li has authored 37 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Genetics. Recurrent topics in James Li’s work include CAR-T cell therapy research (8 papers), RNA modifications and cancer (4 papers) and Genetic Associations and Epidemiology (4 papers). James Li is often cited by papers focused on CAR-T cell therapy research (8 papers), RNA modifications and cancer (4 papers) and Genetic Associations and Epidemiology (4 papers). James Li collaborates with scholars based in United States, China and France. James Li's co-authors include Michael C. Holmes, Philip D. Gregory, Sachin Katyal, Erika Brunet, Maria Jasin, Deniz Simsek, Yankun Gao, Edward J. Rebar, Lei Zhang and Peter J. McKinnon and has published in prestigious journals such as Nucleic Acids Research, Blood and Development.

In The Last Decade

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

Fields of papers citing papers by James Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Li

Since Specialization
Citations

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