Margit Gayle

16 total papers · 2.0k total citations
15 papers, 1.7k citations indexed

About

Margit Gayle is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Margit Gayle has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Ecology. Recurrent topics in Margit Gayle's work include RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Margit Gayle is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Margit Gayle collaborates with scholars based in United States, Germany and Canada. Margit Gayle's co-authors include Jennifer L. Slack, John E. Sims, Timothy A. Bird, Mark R. Alderson, Fabio Re, Alberto Mantovani, Francesco Colotta, Kurt Shanebeck, Judith G. Giri and Nancy Guild and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Margit Gayle

15 papers receiving 1.7k citations

Hit Papers

Interleukin 1 signaling o... 1993 2026 2004 2015 1993 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margit Gayle 972 660 256 180 179 15 1.7k
C Benoist 1.2k 1.3× 379 0.6× 477 1.9× 117 0.7× 209 1.2× 11 2.0k
Belinda Whittle 882 0.9× 1.1k 1.6× 420 1.6× 98 0.5× 199 1.1× 37 2.2k
G H Fey 867 0.9× 956 1.4× 351 1.4× 147 0.8× 501 2.8× 30 2.2k
Edward Reich 782 0.8× 416 0.6× 281 1.1× 62 0.3× 139 0.8× 28 1.7k
Heather Finnerty 953 1.0× 938 1.4× 358 1.4× 54 0.3× 255 1.4× 11 2.3k
B A White 1.1k 1.2× 331 0.5× 705 2.8× 56 0.3× 216 1.2× 25 2.2k
Len C. Packman 1.0k 1.1× 234 0.4× 210 0.8× 46 0.3× 168 0.9× 23 1.6k
Shawn P. Murphy 1.8k 1.9× 380 0.6× 127 0.5× 215 1.2× 150 0.8× 28 2.3k
Farhang Payvar 1.3k 1.3× 287 0.4× 819 3.2× 50 0.3× 138 0.8× 16 1.9k
Lucie Bourget 1.5k 1.5× 194 0.3× 197 0.8× 101 0.6× 108 0.6× 16 1.9k

Countries citing papers authored by Margit Gayle

Since Specialization
Citations

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

Fields of papers citing papers by Margit Gayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Gayle

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Gayle. A scholar is included among the top collaborators of Margit Gayle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margit Gayle. Margit Gayle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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