Casey Lynnette Overby

45 total papers · 1.2k total citations
29 papers, 696 citations indexed

About

Casey Lynnette Overby is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Casey Lynnette Overby has authored 29 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Pharmacology. Recurrent topics in Casey Lynnette Overby's work include Biomedical Text Mining and Ontologies (13 papers), Genomics and Rare Diseases (11 papers) and Pharmacogenetics and Drug Metabolism (10 papers). Casey Lynnette Overby is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Genomics and Rare Diseases (11 papers) and Pharmacogenetics and Drug Metabolism (10 papers). Casey Lynnette Overby collaborates with scholars based in United States, South Korea and United Kingdom. Casey Lynnette Overby's co-authors include Peter Tarczy‐Hornoch, Omri Gottesman, Erwin P. Böttinger, Emily Beth Devine, Joseph Kannry, George Hripcsak, Ira J. Kalet, Stuart A. Scott, Stephen B. Ellis and Neil F. Abernethy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Casey Lynnette Overby

29 papers receiving 681 citations

Author Peers

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

Author						Papers	Cites
Casey Lynnette Overby	217	209	194	158	103	29	696
James D. Cowan	138 0.6×	179 0.9×	215 1.1×	82 0.5×	93 0.9×	12	735
Mark R. Wilkinson	178 0.8×	194 0.9×	375 1.9×	113 0.7×	21 0.2×	17	752
Holli H. Dilks	157 0.7×	110 0.5×	203 1.0×	73 0.5×	13 0.1×	17	652
Alice Matimba	206 0.9×	206 1.0×	141 0.7×	238 1.5×	8 0.1×	37	775
Gillian C. Bell	119 0.5×	71 0.3×	382 2.0×	96 0.6×	15 0.1×	23	719
Jana K. Shirey-Rice	60 0.3×	120 0.6×	34 0.2×	53 0.3×	61 0.6×	23	578
Gurvaneet Randhawa	226 1.0×	231 1.1×	17 0.1×	72 0.5×	32 0.3×	28	597
Valerie Kuan	93 0.4×	144 0.7×	14 0.1×	80 0.5×	44 0.4×	18	739
Michael S. Ringel	54 0.2×	130 0.6×	18 0.1×	96 0.6×	48 0.5×	32	758
Anushi Shah	62 0.3×	432 2.1×	22 0.1×	57 0.4×	77 0.7×	26	793

Countries citing papers authored by Casey Lynnette Overby

Since Specialization

Citations

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

Fields of papers citing papers by Casey Lynnette Overby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey Lynnette Overby. 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 Casey Lynnette Overby. The network helps show where Casey Lynnette Overby may publish in the future.

Co-authorship network of co-authors of Casey Lynnette Overby

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Lynnette Overby. A scholar is included among the top collaborators of Casey Lynnette Overby 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 Casey Lynnette Overby. Casey Lynnette Overby 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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