Keith Edgemon

1.4k total citations
9 papers, 1.0k citations indexed

About

Keith Edgemon is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Keith Edgemon has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Keith Edgemon's work include Gene expression and cancer classification (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (3 papers). Keith Edgemon is often cited by papers focused on Gene expression and cancer classification (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (3 papers). Keith Edgemon collaborates with scholars based in United States, Czechia and India. Keith Edgemon's co-authors include Francis S. Collins, Stephen P. A. Fodor, Joseph G. Hacia, Christiane M. Robbins, Lawrence C. Brody, Judy S. Crabtree, Peter C. Scacheri, Lisa Garrett‐Beal, Allen M. Spiegel and Stephen J. Marx and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Keith Edgemon

9 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Edgemon United States	9	607	254	242	211	158	9	1.0k
Christine Powers United States	20	768 1.3×	345 1.4×	209 0.9×	55 0.3×	42 0.3×	23	1.3k
Nicole A. Becker United States	17	873 1.4×	118 0.5×	409 1.7×	70 0.3×	92 0.6×	36	1.0k
Raffaele Fronza Germany	14	689 1.1×	53 0.2×	382 1.6×	180 0.9×	62 0.4×	30	980
Chun‐Qing Song China	18	1.2k 1.9×	72 0.3×	295 1.2×	140 0.7×	19 0.1×	27	1.3k
David Housman United States	15	837 1.4×	21 0.1×	211 0.9×	290 1.4×	50 0.3×	20	1.1k
Thomas Carroll United States	15	655 1.1×	65 0.3×	80 0.3×	107 0.5×	27 0.2×	22	1.1k
Annett Koch Germany	17	1.4k 2.4×	238 0.9×	102 0.4×	105 0.5×	25 0.2×	17	1.7k
Yoshikazu Kurosawa Japan	20	540 0.9×	63 0.2×	131 0.5×	143 0.7×	19 0.1×	39	882
April Mengos United States	17	633 1.0×	74 0.3×	157 0.6×	121 0.6×	11 0.1×	20	1.3k
Yelena Dayn United States	6	647 1.1×	103 0.4×	288 1.2×	72 0.3×	11 0.1×	6	808

Countries citing papers authored by Keith Edgemon

Since Specialization

Citations

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

Fields of papers citing papers by Keith Edgemon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Edgemon

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

All Works

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9 of 9 papers shown

Edgemon, Keith, Srikant Viswanadha, Martin Haluzı́k, et al.. (2009). The role of LMNA in adipose: a novel mouse model of lipodystrophy based on the Dunnigan-type familial partial lipodystrophy mutation. Journal of Lipid Research. 50(6). 1068–1079. 41 indexed citations

Coyne, Robert S., Heather B. McDonald, Keith Edgemon, & Lawrence C. Brody. (2004). Functional Characterization of BRCA1 Sequence Variants using a Yeast Small Colony Phenotype Assay. Cancer Biology & Therapy. 3(5). 453–457. 44 indexed citations

Scacheri, Peter C., Judy S. Crabtree, Elizabeth A. Novotny, et al.. (2001). Bidirectional transcriptional activity of PGK‐neomycin and unexpected embryonic lethality in heterozygote chimeric knockout mice. genesis. 30(4). 259–263. 76 indexed citations

Crabtree, Judy S., Peter C. Scacheri, Jerrold M. Ward, et al.. (2001). A mouse model of multiple endocrine neoplasia, type 1, develops multiple endocrine tumors. Proceedings of the National Academy of Sciences. 98(3). 1118–1123. 340 indexed citations

Hacia, Joseph G., et al.. (2000). Oligonucleotide microarray based detection of repetitive sequence changes. Human Mutation. 16(4). 354–363. 19 indexed citations

Hacia, Joseph G., Jian‐Bing Fan, Oliver A. Ryder, et al.. (1999). Determination of ancestral alleles for human single-nucleotide polymorphisms using high-density oligonucleotide arrays. Nature Genetics. 22(2). 164–167. 288 indexed citations

Hacia, Joseph G., Bryan K. Sun, Keith Edgemon, et al.. (1998). Strategies for Mutational Analysis of the Large Multiexon ATM Gene Using High-Density Oligonucleotide Arrays. Genome Research. 8(12). 1245–1258. 93 indexed citations

Hacia, J., Keith Edgemon, Bryan K. Sun, et al.. (1998). Two color hybridization analysis using high density oligonucleotide arrays and energy transfer dyes. Nucleic Acids Research. 26(16). 3865–3866. 22 indexed citations

Hacia, Joseph G., Wojciech Makałowski, Keith Edgemon, et al.. (1998). Evolutionary sequence comparisons using high-density oligonucleotide arrays. Nature Genetics. 18(2). 155–158. 82 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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