Gene Lin

8 papers and 436 indexed citations i.

About

Gene Lin is a scholar working on Immunology, Physiology and Genetics. According to data from OpenAlex, Gene Lin has authored 8 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Physiology and 2 papers in Genetics. Recurrent topics in Gene Lin’s work include Immune Cell Function and Interaction (5 papers), Adenosine and Purinergic Signaling (4 papers) and Hemoglobinopathies and Related Disorders (2 papers). Gene Lin is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Adenosine and Purinergic Signaling (4 papers) and Hemoglobinopathies and Related Disorders (2 papers). Gene Lin collaborates with scholars based in United States, Australia and France. Gene Lin's co-authors include Joel Linden, Nicola Waddell, Nicholas D. Huntington, Jérôme D. Coudert, Mark J. Smyth, Arabella Young, Shin Foong Ngiow, Meriem Messaoudene, Laurence Zitvogel and Ann‐Marie Patch and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Gene Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gene Lin

Since Specialization
Citations

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