David F. Counts

33 total papers · 732 total citations
29 papers, 589 citations indexed

About

David F. Counts is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David F. Counts has authored 29 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David F. Counts's work include Estrogen and related hormone effects (5 papers), Cell Adhesion Molecules Research (5 papers) and Hormonal and reproductive studies (4 papers). David F. Counts is often cited by papers focused on Estrogen and related hormone effects (5 papers), Cell Adhesion Molecules Research (5 papers) and Hormonal and reproductive studies (4 papers). David F. Counts collaborates with scholars based in United States. David F. Counts's co-authors include Kenneth R. Cutroneo, Gerald Α. Hegreberg, Peter H. Byers, Karen A. Holbrook, George J. Cardinale, Sidney Udenfriend, John W. Frymoyer, Ian A. F. Stokes, John N. Evans and Thomas A. DiPetrillo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Spine and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

David F. Counts

29 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
David F. Counts 178 147 116 92 71 29 589
Alejandro Morales 170 1.0× 115 0.8× 60 0.5× 123 1.3× 34 0.5× 27 638
J Bayle 239 1.3× 95 0.6× 53 0.5× 40 0.4× 69 1.0× 33 668
Jeffrey R. LaDuca 241 1.4× 179 1.2× 86 0.7× 25 0.3× 35 0.5× 18 605
Koji Takeda 189 1.1× 70 0.5× 81 0.7× 32 0.3× 98 1.4× 31 604
Riccardo Villa 226 1.3× 116 0.8× 38 0.3× 57 0.6× 95 1.3× 34 694
W. Nürnberg 208 1.2× 56 0.4× 79 0.7× 122 1.3× 24 0.3× 27 537
Kei Kuroda 246 1.4× 50 0.3× 137 1.2× 82 0.9× 32 0.5× 27 618
Manando Nakasaki 258 1.4× 46 0.3× 77 0.7× 58 0.6× 31 0.4× 21 624
Daniel Kronenberg 162 0.9× 66 0.4× 41 0.4× 50 0.5× 24 0.3× 26 594
B. F. Pontz 107 0.6× 240 1.6× 59 0.5× 113 1.2× 25 0.4× 32 506

Countries citing papers authored by David F. Counts

Since Specialization
Citations

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

Fields of papers citing papers by David F. Counts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David F. Counts

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Counts. A scholar is included among the top collaborators of David F. Counts 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 F. Counts. David F. Counts 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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2026