Linan Song

35 papers and 3.9k indexed citations i.

About

Linan Song is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Linan Song has authored 35 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Epidemiology. Recurrent topics in Linan Song’s work include Advanced biosensing and bioanalysis techniques (7 papers), Advanced Biosensing Techniques and Applications (7 papers) and Biosensors and Analytical Detection (5 papers). Linan Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Advanced Biosensing Techniques and Applications (7 papers) and Biosensors and Analytical Detection (5 papers). Linan Song collaborates with scholars based in United States, China and Sweden. Linan Song's co-authors include David R. Walt, David C. Duffy, David R. Fournier, Cheuk W. Kan, Evan P. Ferrell, Todd Campbell, Andrew J. Rivnak, David M. Rissin, Tomasz Piech and Lei Chang and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Linan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linan Song

Since Specialization
Citations

This map shows the geographic impact of Linan 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 Linan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linan 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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2025