Linda Yang

52 papers and 2.9k indexed citations i.

About

Linda Yang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Linda Yang has authored 52 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Genetics and 8 papers in Physiology. Recurrent topics in Linda Yang’s work include Virus-based gene therapy research (13 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Linda Yang is often cited by papers focused on Virus-based gene therapy research (13 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Pancreatic Islet Dysfunction and Regeneration (4 papers). Linda Yang collaborates with scholars based in United States, Canada and Australia. Linda Yang's co-authors include Robert M. Kotin, Yi Zheng, Scott Q. Harper, Qinwen Mao, Beverly L. Davidson, Steven Eliason, Henry L. Paulson, Inês Martins, John A. Chiorini and Frank Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Linda Yang i

Fields of papers citing papers by Linda Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Yang

Since Specialization
Citations

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