Caroline Farrington

38 total papers · 835 total citations
10 papers, 444 citations indexed

About

Caroline Farrington is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Caroline Farrington has authored 10 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Caroline Farrington's work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers) and Cell death mechanisms and regulation (3 papers). Caroline Farrington is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers) and Cell death mechanisms and regulation (3 papers). Caroline Farrington collaborates with scholars based in United States, Poland and Spain. Caroline Farrington's co-authors include Goutham Narla, Matthew D. Galsky, Jaya Sangodkar, Kimberly McClinch, David B. Kastrinsky, Sudeh Izadmehr, Rui Yuan, Sahar Mazhar, Rosalie C. Sears and David L. Brautigan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.

In The Last Decade

Caroline Farrington

10 papers receiving 439 citations

Author Peers

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

Author Last Decade Papers Cites
Caroline Farrington 351 111 78 50 46 10 444
Ioanna Mavrommati 305 0.9× 130 1.2× 61 0.8× 54 1.1× 47 1.0× 9 435
Kristen Bisanz 286 0.8× 123 1.1× 58 0.7× 47 0.9× 38 0.8× 7 388
Sue-Hwa Lin 340 1.0× 103 0.9× 62 0.8× 38 0.8× 29 0.6× 8 463
Jaromir Knesel 297 0.8× 115 1.0× 54 0.7× 44 0.9× 28 0.6× 10 488
Xingling Zheng 317 0.9× 88 0.8× 93 1.2× 28 0.6× 38 0.8× 12 424
Ami Albihn 323 0.9× 127 1.1× 83 1.1× 38 0.8× 23 0.5× 8 426
Clare F. Malone 300 0.9× 84 0.8× 83 1.1× 64 1.3× 84 1.8× 10 485
Aparna R. Srivastava 349 1.0× 163 1.5× 63 0.8× 70 1.4× 25 0.5× 8 469
Linette Grove 305 0.9× 130 1.2× 65 0.8× 64 1.3× 36 0.8× 9 370
Kacey VanderVorst 322 0.9× 114 1.0× 90 1.2× 81 1.6× 23 0.5× 13 411

Countries citing papers authored by Caroline Farrington

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Farrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Farrington

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Farrington. A scholar is included among the top collaborators of Caroline Farrington 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 Caroline Farrington. Caroline Farrington 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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2026