Shengda Lin

14 papers and 668 indexed citations i.

About

Shengda Lin is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Shengda Lin has authored 14 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in Shengda Lin’s work include CRISPR and Genetic Engineering (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and TGF-β signaling in diseases (3 papers). Shengda Lin is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and TGF-β signaling in diseases (3 papers). Shengda Lin collaborates with scholars based in United States, China and France. Shengda Lin's co-authors include Diane C. Slusarski, Steven E. Artandi, Alina Garbuzov, Chandresh R. Gajera, Lü Chen, Trudi A. Westfall, Elisabete Nascimento, Patrick Neuhöfer, Sui Wang and Hilary Griesbach and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Shengda Lin i

Fields of papers citing papers by Shengda Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shengda Lin

Since Specialization
Citations

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