Karen Colwill

8.7k citations
55 papers · 2.9k indexed · h-index 22

Impact in

    • Cellular transport and secretion
    • Hippo pathway signaling and YAP/TAZ
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Protein Kinase Regulation and GTPase Signaling

Papers in

Karen Colwill

48 papers receiving 2.9k citations

Peers

Karen Colwill
Comparison fields: 5 of 113
  • Cell Biology 572
  • Molecular Biology 2.3k
  • Virology 100
  • Immunology and Allergy 83
  • Spectroscopy 210
Replace Dae In Kim with:
Dae In Kim United States
Rolf Jaussi Switzerland
Markus Boehm United States
B.A. Appleton United States
Karsten Sauer United States
Stefania Gonfloni Italy
Ylva Ivarsson Sweden
Martin Gullberg Sweden
Marie K. Schwinn United States
Benoit Coulombe Canada
Karen Colwill relative to Dae In Kim United States Dae In Kim's profile →
Citations per field
00.5×2.7×
Dae In Kim · 1×
Citations per year

Countries citing papers authored by Karen Colwill

Since Specialization
Citations

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

Fields of papers citing papers by Karen Colwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Karen Colwill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karen Colwill Line = papers co-authored together Karen Colwill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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10 20227
11 202112
12 201321
13 2013223
14 2011261
15 201046
16 201059
17 200648
18 1999179
19 199872
20 199642

About Karen Colwill

Karen Colwill is a scholar working on Infectious Diseases, Modeling and Simulation, Obstetrics and Gynecology, Aging and Health, having authored 55 papers that have together received 2.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), COVID-19 Clinical Research Studies (18 papers), SARS-CoV-2 detection and testing (11 papers), COVID-19 Impact on Reproduction (5 papers), COVID-19 epidemiological studies (5 papers), Fungal and yeast genetics research (5 papers), Vaccine Coverage and Hesitancy (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Cell Biology (572 citations), Molecular Biology (2.3k citations), Virology (100 citations), Immunology and Allergy (83 citations) and Spectroscopy (210 citations). Karen Colwill has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Tony Pawson, James L. Manley, Brenda Andrews, S. Gräslund, Peter I. Duncan, John C. Bell, J.K. Prasad, Adrian Pasculescu, Gerald Gish and Jayendra Prasad. Their work appears in journals such as Microbiology Spectrum, Molecular and Cellular Biology, PLoS ONE, Transfusion and Journal of Biological Chemistry.

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