Ge Tan

60 papers and 5.9k indexed citations i.

About

Ge Tan is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Ge Tan has authored 60 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Physiology and 13 papers in Immunology. Recurrent topics in Ge Tan’s work include Asthma and respiratory diseases (11 papers), Genomics and Phylogenetic Studies (8 papers) and Dermatology and Skin Diseases (8 papers). Ge Tan is often cited by papers focused on Asthma and respiratory diseases (11 papers), Genomics and Phylogenetic Studies (8 papers) and Dermatology and Skin Diseases (8 papers). Ge Tan collaborates with scholars based in Switzerland, China and United States. Ge Tan's co-authors include Boris Lenhard, François Parcy, Albin Sandelin, Wyeth W. Wasserman, Anthony Mathelier, Oriol Fornés, David J. Arenillas, Damir Baranašić, Benoît Ballester and Marius Gheorghe and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Ge Tan i

Fields of papers citing papers by Ge Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Tan

Since Specialization
Citations

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