M. Denise Dearing

189 total papers · 6.2k total citations
129 papers, 4.8k citations indexed

About

M. Denise Dearing is a scholar working on Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. Denise Dearing has authored 129 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ecology, 56 papers in Molecular Biology and 33 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. Denise Dearing's work include Animal Ecology and Behavior Studies (42 papers), Gut microbiota and health (29 papers) and Wildlife Ecology and Conservation (26 papers). M. Denise Dearing is often cited by papers focused on Animal Ecology and Behavior Studies (42 papers), Gut microbiota and health (29 papers) and Wildlife Ecology and Conservation (26 papers). M. Denise Dearing collaborates with scholars based in United States, Australia and Israel. M. Denise Dearing's co-authors include Kevin D. Kohl, William H. Karasov, Jennifer S. Forbey, Antonio M. Mangione, Colin Dale, Jos. J. Schall, Michele M. Skopec, William J. Foley, Stuart McLean and Aaron W. Miller and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

M. Denise Dearing

128 papers receiving 4.7k citations

Author Peers

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

Author Last Decade Papers Cites
M. Denise Dearing 2.1k 1.7k 862 545 447 129 4.8k
David A. Morrison 1.1k 0.5× 1.2k 0.7× 1.0k 1.2× 611 1.1× 441 1.0× 128 4.9k
Michael B. Black 1.7k 0.8× 1.0k 0.6× 891 1.0× 218 0.4× 248 0.6× 53 4.4k
Guillaume Achaz 1.7k 0.8× 1.8k 1.0× 1.1k 1.3× 653 1.2× 189 0.4× 53 5.2k
Völker Storch 1.5k 0.7× 567 0.3× 536 0.6× 373 0.7× 171 0.4× 204 4.3k
Florent Mazel 1.7k 0.8× 1.2k 0.7× 1.0k 1.2× 1.3k 2.4× 137 0.3× 45 4.1k
Natalya Ivanova 2.1k 1.0× 2.2k 1.3× 1.4k 1.6× 1.1k 2.0× 118 0.3× 84 5.1k
Susan L. Perkins 1.1k 0.5× 590 0.4× 896 1.0× 277 0.5× 682 1.5× 104 4.0k
Agostinho Antunes 1.6k 0.7× 2.2k 1.3× 713 0.8× 418 0.8× 149 0.3× 205 5.7k
P. R. Baverstock 1.7k 0.8× 1.2k 0.7× 1.1k 1.3× 664 1.2× 104 0.2× 122 4.9k
Lê Sỹ Vinh 1.7k 0.8× 2.9k 1.7× 1.7k 2.0× 441 0.8× 530 1.2× 53 6.9k

Countries citing papers authored by M. Denise Dearing

Since Specialization
Citations

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

Fields of papers citing papers by M. Denise Dearing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Denise Dearing

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