Kevin A. Cornell

13 total papers · 409 total citations
10 papers, 300 citations indexed

About

Kevin A. Cornell is a scholar working on Animal Science and Zoology, Food Science and Infectious Diseases. According to data from OpenAlex, Kevin A. Cornell has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Animal Science and Zoology, 2 papers in Food Science and 1 paper in Infectious Diseases. Recurrent topics in Kevin A. Cornell's work include Animal Nutrition and Physiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). Kevin A. Cornell is often cited by papers focused on Animal Nutrition and Physiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). Kevin A. Cornell collaborates with scholars based in United States, Australia and China. Kevin A. Cornell's co-authors include Andrew J. Worthen, Thomas M. Truskett, Keith P. Johnston, Steven L. Bryant, Matthew S. Jones, Olivia M. Smith, Christopher W. Bielawski, Jiannan Dong, Yunshen Chen and Christina M. Kennedy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Applied Materials & Interfaces and Journal of Applied Ecology.

In The Last Decade

Kevin A. Cornell

8 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Kevin A. Cornell	111	69	56	51	34	10	300
Basharat Hussain Shah	65 0.6×	24 0.3×	25 0.4×	9 0.2×	10 0.3×	27	349
Thomas Behm	78 0.7×	62 0.9×	28 0.5×	22 0.4×	11 0.3×	10	357
C R Southwell	148 1.3×	31 0.4×	6 0.1×	6 0.1×	31 0.9×	15	314
L.L. Hoekstra	56 0.5×	15 0.2×	35 0.6×	182 3.6×	2 0.1×	7	358
Choukri Hbid	23 0.2×	17 0.2×	47 0.8×	53 1.0×	11 0.3×	8	360
Tomasz Machałowski	35 0.3×	57 0.8×	21 0.4×	11 0.2×	9 0.3×	18	338
William DeFlorio	58 0.5×	30 0.4×	54 1.0×	36 0.7×	2 0.1×	13	329
Joan Kelley	32 0.3×	8 0.1×	12 0.2×	18 0.4×	8 0.2×	18	322
Michael J. Dempsey	51 0.5×	41 0.6×	17 0.3×	12 0.2×	1 0.0×	16	319
Susana Pereira	78 0.7×	9 0.1×	31 0.6×	8 0.2×	3 0.1×	9	338

Countries citing papers authored by Kevin A. Cornell

Since Specialization

Citations

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

Fields of papers citing papers by Kevin A. Cornell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin A. Cornell

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