L A Correll

975 citations
8 papers · 846 indexed · h-index 8

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Ion channel regulation and function
    • DNA Repair Mechanisms
    • Phosphodiesterase function and regulation
    • Ubiquitin and proteasome pathways
    • Neuroscience and Neuropharmacology Research

Papers in

L A Correll

8 papers receiving 826 citations

Peers

L A Correll
Comparison fields: 5 of 88
  • Molecular Biology 633
  • Cellular and Molecular Neuroscience 137
  • Cancer Research 82
  • Cell Biology 79
  • Genetics 118
Replace M. Vanek with:
M. Vanek Switzerland
J. D. Rothermel United States
Debra S. Drust United States
Chie Sakanaka Japan
R I Feldman United States
Adrian R. Pierotti United Kingdom
R A Bradshaw United States
Vanessa Suckow Germany
Mark L. Richards United States
Melanie Allen United States
L A Correll relative to M. Vanek Switzerland M. Vanek's profile →
Citations per field
00.5×1.5×
M. Vanek · 1×
Citations per year

Countries citing papers authored by L A Correll

Since Specialization
Citations

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

Fields of papers citing papers by L A Correll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L A Correll. 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 L A Correll. The network helps show where L A Correll may publish in the future.

Co-authors

The 12 scholars most cited alongside L A Correll, 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 L A Correll Line = papers co-authored together L A Correll links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1989225
2 198972
3 198964
4 198840
5 198816
6 1988113
7 1987227
8 198689

About L A Correll

L A Correll is a scholar working on Toxicology, Pharmaceutical Science, Cell Biology, Molecular Biology and Cancer Research, having authored 8 papers that have together received 846 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers), Biotin and Related Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Chemical Synthesis and Analysis (1 paper), Signaling Pathways in Disease (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Molecular Biology (633 citations), Cellular and Molecular Neuroscience (137 citations), Cancer Research (82 citations), Cell Biology (79 citations) and Genetics (118 citations). L A Correll has collaborated with scholars based in United States and Italy. Frequent co-authors include G. Stanley McKnight, Christopher H. Clegg, G G Cadd, Pamela L. Mellon, Terry A. Woodford, Jackie D. Corbin, Marguerite A. Sognier, Charles A. Waldren, Theodore T. Puck and Michael D. Uhler. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cold Spring Harbor Symposia on Quantitative Biology, Methods in enzymology on CD-ROM/Methods in enzymology and Elsevier eBooks.

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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