Karen McCune

50 total papers · 14.0k total citations
2 papers, 366 citations indexed

About

Karen McCune is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Karen McCune has authored 2 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Oncology and 1 paper in Cell Biology. Recurrent topics in Karen McCune's work include Endoplasmic Reticulum Stress and Disease (1 paper), PARP inhibition in cancer therapy (1 paper) and Lipid metabolism and biosynthesis (1 paper). Karen McCune is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (1 paper), PARP inhibition in cancer therapy (1 paper) and Lipid metabolism and biosynthesis (1 paper). Karen McCune collaborates with scholars based in United States. Karen McCune's co-authors include Karen H. Lu, Gordon B. Mills, Russell R. Broaddus, Victor Abkevich, Pat Glenn, Larissa A. Meyer, Yang Li, Maurie Markman, Alexander Gutin and Darl D. Flake and has published in prestigious journals such as Journal of Clinical Oncology and PubMed.

In The Last Decade

Karen McCune

2 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Karen McCune	202	198	154	154	62	2	366
Alison D. Clark	196 1.0×	91 0.5×	30 0.2×	104 0.7×	50 0.8×	5	368
Colleen Crane	211 1.0×	115 0.6×	47 0.3×	129 0.8×	97 1.6×	5	396
Gail E. Stewart	213 1.1×	175 0.9×	112 0.7×	63 0.4×	91 1.5×	5	379
G. Spatti	126 0.6×	220 1.1×	33 0.2×	100 0.6×	56 0.9×	7	359
Marie K. Classon	296 1.5×	238 1.2×	36 0.2×	54 0.4×	94 1.5×	2	402
Jean-Louis Janneau	132 0.7×	117 0.6×	36 0.2×	79 0.5×	55 0.9×	5	357
Gus Rodriguez	134 0.7×	160 0.8×	41 0.3×	87 0.6×	34 0.5×	3	307
Shannon E. Muir	216 1.1×	154 0.8×	36 0.2×	39 0.3×	76 1.2×	7	399
Philip Rowe	150 0.7×	326 1.6×	112 0.7×	199 1.3×	43 0.7×	7	385
Joseph Hargan Calvopina	257 1.3×	124 0.6×	64 0.4×	11 0.1×	52 0.8×	4	347

Countries citing papers authored by Karen McCune

Since Specialization

Citations

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

Fields of papers citing papers by Karen McCune

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen McCune

This figure shows the co-authorship network connecting the top 25 collaborators of Karen McCune. A scholar is included among the top collaborators of Karen McCune 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 Karen McCune. Karen McCune 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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