Samuel Long

27 papers and 3.9k indexed citations i.

About

Samuel Long is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Samuel Long has authored 27 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Samuel Long’s work include PI3K/AKT/mTOR signaling in cancer (9 papers), HIV Research and Treatment (6 papers) and CRISPR and Genetic Engineering (4 papers). Samuel Long is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), HIV Research and Treatment (6 papers) and CRISPR and Genetic Engineering (4 papers). Samuel Long collaborates with scholars based in United States, Japan and Italy. Samuel Long's co-authors include Joseph Avruch, Sara Ortiz-Vega, Kazuyoshi Yonezawa, Yenshou Lin, Kenta Hara, Noriko Oshiro, Chiharu Tokunaga, Hidayat Sujuti, K. Yoshino and Joseph Rapley and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Samuel Long i

Fields of papers citing papers by Samuel Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Long

Since Specialization
Citations

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