David M. DeAvila

27 total papers · 470 total citations
20 papers, 379 citations indexed

About

David M. DeAvila is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, David M. DeAvila has authored 20 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Agronomy and Crop Science, 10 papers in Genetics and 7 papers in Small Animals. Recurrent topics in David M. DeAvila's work include Reproductive Physiology in Livestock (9 papers), Genetic and phenotypic traits in livestock (5 papers) and Animal Behavior and Welfare Studies (4 papers). David M. DeAvila is often cited by papers focused on Reproductive Physiology in Livestock (9 papers), Genetic and phenotypic traits in livestock (5 papers) and Animal Behavior and Welfare Studies (4 papers). David M. DeAvila collaborates with scholars based in United States, Türkiye and Ethiopia. David M. DeAvila's co-authors include J. J. Reeves, Hannah E. Johnson, Ching‐Fong Chang, J.J. Reeves, Jerry J. Reeves, Kevin P. Bertrand, David M. Grieger, Özdal Gökdal, Timothy G. Rozell and Yuzhi Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Dairy Science and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

David M. DeAvila

20 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
David M. DeAvila	184	162	86	81	68	20	379
Nathalie Debus	228 1.2×	126 0.8×	65 0.8×	100 1.2×	91 1.3×	25	420
C. B. Baker	225 1.2×	102 0.6×	53 0.6×	39 0.5×	37 0.5×	18	346
F. DU MESNIL DU BUISSON	178 1.0×	152 0.9×	115 1.3×	98 1.2×	113 1.7×	30	397
Heap Rb	223 1.2×	97 0.6×	82 1.0×	36 0.4×	29 0.4×	22	363
Theerawat Swangchan-Uthai	215 1.2×	64 0.4×	89 1.0×	32 0.4×	98 1.4×	26	355
Juana M. Flores	178 1.0×	180 1.1×	34 0.4×	33 0.4×	59 0.9×	16	398
H.L. Buttle	220 1.2×	127 0.8×	88 1.0×	76 0.9×	20 0.3×	29	446
R. G. Zimbelman	299 1.6×	191 1.2×	101 1.2×	108 1.3×	20 0.3×	34	437
P.A.R. Hawken	228 1.2×	167 1.0×	64 0.7×	90 1.1×	73 1.1×	21	366
C. W. Foley	131 0.7×	72 0.4×	78 0.9×	93 1.1×	156 2.3×	40	446

Countries citing papers authored by David M. DeAvila

Since Specialization

Citations

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

Fields of papers citing papers by David M. DeAvila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. DeAvila

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