Kaitlyn Gayvert

18 papers and 532 indexed citations i.

About

Kaitlyn Gayvert is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Kaitlyn Gayvert has authored 18 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Physiology. Recurrent topics in Kaitlyn Gayvert’s work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Degradation and Inhibitors (2 papers). Kaitlyn Gayvert is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and Protein Degradation and Inhibitors (2 papers). Kaitlyn Gayvert collaborates with scholars based in United States, Israel and Canada. Kaitlyn Gayvert's co-authors include Olivier Elemento, Neel S. Madhukar, Luciano A. Marraffini, Andrew Varble, Nora C. Pyenson, Joshua E. Allen, Linda Huang, Martin Stogniew, Giuseppe Galletti and Prashant K. Khade and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Kaitlyn Gayvert i

Fields of papers citing papers by Kaitlyn Gayvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaitlyn Gayvert

Since Specialization
Citations

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