L A Correll

975 total citations
8 papers, 846 citations indexed

About

L A Correll is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, L A Correll has authored 8 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in L A Correll's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers) and Biotin and Related Studies (2 papers). L A Correll is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers) and Biotin and Related Studies (2 papers). L A Correll collaborates with scholars based in United States and Italy. L A Correll's co-authors include G. Stanley McKnight, Christopher H. Clegg, G G Cadd, Pamela L. Mellon, Jackie D. Corbin, Terry A. Woodford, Charles A. Waldren, Marguerite A. Sognier, Theodore T. Puck and Michael D. Uhler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

L A Correll

8 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
L A Correll United States	8	633	137	118	107	82	8	846
M. Vanek Switzerland	10	833 1.3×	116 0.8×	228 1.9×	127 1.2×	116 1.4×	10	1.2k
R I Feldman United States	12	668 1.1×	279 2.0×	141 1.2×	218 2.0×	50 0.6×	16	963
Lan Ko United States	20	947 1.5×	169 1.2×	296 2.5×	123 1.1×	138 1.7×	36	1.4k
Chie Sakanaka Japan	20	1.3k 2.0×	247 1.8×	113 1.0×	209 2.0×	77 0.9×	26	1.7k
Arthur G. Balliet United States	6	647 1.0×	137 1.0×	59 0.5×	172 1.6×	142 1.7×	6	891
Per‐Erik Mansson United States	11	527 0.8×	99 0.7×	53 0.4×	62 0.6×	69 0.8×	18	822
Magnus Ljungström Sweden	13	420 0.7×	72 0.5×	47 0.4×	89 0.8×	54 0.7×	19	698
Makoto Katayama Japan	14	723 1.1×	111 0.8×	36 0.3×	196 1.8×	126 1.5×	43	1.2k
Norikazu Mizuno Japan	16	763 1.2×	264 1.9×	62 0.5×	85 0.8×	63 0.8×	20	1.0k
Fernando Ribeiro-Neto United States	15	825 1.3×	139 1.0×	80 0.7×	94 0.9×	75 0.9×	18	1.0k

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-authorship network of co-authors of L A Correll

This figure shows the co-authorship network connecting the top 25 collaborators of L A Correll. A scholar is included among the top collaborators of L A Correll 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 L A Correll. L A Correll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Mellon, Pamela L., Christopher H. Clegg, L A Correll, & G. Stanley McKnight. (1989). Regulation of transcription by cyclic AMP-dependent protein kinase.. Proceedings of the National Academy of Sciences. 86(13). 4887–4891. 225 indexed citations

Woodford, Terry A., L A Correll, G. Stanley McKnight, & Jackie D. Corbin. (1989). Expression and Characterization of Mutant Forms of the Type I Regulatory Subunit of cAMP-dependent Protein Kinase. Journal of Biological Chemistry. 264(22). 13321–13328. 72 indexed citations

Correll, L A, Terry A. Woodford, Jackie D. Corbin, Pamela L. Mellon, & G. Stanley McKnight. (1989). Functional Characterization of cAMP-binding Mutations in Type I Protein Kinase. Journal of Biological Chemistry. 264(28). 16672–16678. 64 indexed citations

McKnight, G. Stanley, et al.. (1988). Expression of Wild-type and Mutant Subunits of the cAMP-dependent Protein Kinase. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 111–119. 40 indexed citations

McKnight, G. Stanley, Michael D. Uhler, Christopher H. Clegg, L A Correll, & G G Cadd. (1988). [28] Application of molecular genetic techniques to the cAMP-dependent protein kinase system. Methods in enzymology on CD-ROM/Methods in enzymology. 159. 299–311. 16 indexed citations

McKnight, G. Stanley, Christopher H. Clegg, Michael D. Uhler, et al.. (1988). Analysis of the cAMP-Dependent Protein Kinase System Using Molecular Genetic Approaches. Elsevier eBooks. 44. 307–335. 113 indexed citations

Clegg, Christopher H., L A Correll, G G Cadd, & G. Stanley McKnight. (1987). Inhibition of intracellular cAMP-dependent protein kinase using mutant genes of the regulatory type I subunit.. Journal of Biological Chemistry. 262(27). 13111–13119. 227 indexed citations

Waldren, Charles A., L A Correll, Marguerite A. Sognier, & Theodore T. Puck. (1986). Measurement of low levels of x-ray mutagenesis in relation to human disease.. Proceedings of the National Academy of Sciences. 83(13). 4839–4843. 89 indexed citations

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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