Deviney M. Chaponis

11 total papers · 775 total citations
7 papers, 402 citations indexed

About

Deviney M. Chaponis is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience. According to data from OpenAlex, Deviney M. Chaponis has authored 7 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cognitive Neuroscience. Recurrent topics in Deviney M. Chaponis's work include Cancer, Hypoxia, and Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Deviney M. Chaponis is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Deviney M. Chaponis collaborates with scholars based in United States, Canada and Tunisia. Deviney M. Chaponis's co-authors include Mark W. Kieran, Catherine Butterfield, Judah Folkman, Dipak Panigrahy, Andrea Laforme, Arja Kaipainen, Carmen M. Barnés, Sui Huang, Michael Fannon and Barry E. Stein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuroscience and Psychonomic Bulletin & Review.

In The Last Decade

Deviney M. Chaponis

7 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Deviney M. Chaponis	207	131	66	56	49	7	402
Shu Narumiya	108 0.5×	24 0.2×	37 0.6×	10 0.2×	16 0.3×	10	369
Haris Younas	146 0.7×	129 1.0×	10 0.2×	5 0.1×	30 0.6×	8	412
Ayumi Kodama	138 0.7×	33 0.3×	7 0.1×	9 0.2×	9 0.2×	14	347
Barbara Pijet	197 1.0×	58 0.4×	3 0.0×	7 0.1×	10 0.2×	12	397
Aaron M. Williams	123 0.6×	28 0.2×	6 0.1×	8 0.1×	10 0.2×	9	369
Ghazaleh Eskandari	76 0.4×	26 0.2×	6 0.1×	12 0.2×	13 0.3×	12	380
Sonja Brosel	227 1.1×	21 0.2×	2 0.0×	37 0.7×	22 0.4×	12	357
Paul Halley	223 1.1×	150 1.1×	3 0.0×	4 0.1×	9 0.2×	10	422
C. S. Ábrahám	137 0.7×	23 0.2×	5 0.1×	6 0.1×	18 0.4×	12	356
Tamara Eisele	118 0.6×	80 0.6×	4 0.1×	3 0.1×	9 0.2×	13	399

Countries citing papers authored by Deviney M. Chaponis

Since Specialization

Citations

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

Fields of papers citing papers by Deviney M. Chaponis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deviney M. Chaponis. 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 Deviney M. Chaponis. The network helps show where Deviney M. Chaponis may publish in the future.

Co-authorship network of co-authors of Deviney M. Chaponis

This figure shows the co-authorship network connecting the top 25 collaborators of Deviney M. Chaponis. A scholar is included among the top collaborators of Deviney M. Chaponis 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 Deviney M. Chaponis. Deviney M. Chaponis 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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