David A. Cosgrove

28 total papers · 934 total citations
22 papers, 653 citations indexed

About

David A. Cosgrove is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, David A. Cosgrove has authored 22 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 13 papers in Molecular Biology and 8 papers in Spectroscopy. Recurrent topics in David A. Cosgrove's work include Computational Drug Discovery Methods (19 papers), Analytical Chemistry and Chromatography (8 papers) and Chemical Synthesis and Analysis (6 papers). David A. Cosgrove is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Analytical Chemistry and Chromatography (8 papers) and Chemical Synthesis and Analysis (6 papers). David A. Cosgrove collaborates with scholars based in United Kingdom, Sweden and Iraq. David A. Cosgrove's co-authors include Peter W. Kenny, Valerie J. Gillet, Andrew G. Leach, Eleanor J. Gardiner, Peter Willett, Linette Ruston, Huw Jones, Nicola Colclough, Paul D. Lyne and J. Matthew Wood and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

David A. Cosgrove

22 papers receiving 619 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 A. Cosgrove 459 396 138 118 104 22 653
Ed Griffen 481 1.0× 431 1.1× 122 0.9× 213 1.8× 110 1.1× 15 763
Michael S. Lajiness 506 1.1× 372 0.9× 75 0.5× 121 1.0× 124 1.2× 21 734
Graeme R. Robb 290 0.6× 398 1.0× 128 0.9× 174 1.5× 83 0.8× 33 771
Spencer M. Free 344 0.7× 267 0.7× 82 0.6× 173 1.5× 121 1.2× 24 779
Daniel J. Warner 261 0.6× 268 0.7× 145 1.1× 109 0.9× 156 1.5× 17 652
Wolf‐Dietrich Ihlenfeldt 325 0.7× 301 0.8× 111 0.8× 142 1.2× 85 0.8× 11 574
Norman Bauman 391 0.9× 299 0.8× 120 0.9× 68 0.6× 136 1.3× 31 637
Philip M. Dean 426 0.9× 550 1.4× 114 0.8× 152 1.3× 80 0.8× 25 750
Chris Waller 447 1.0× 378 1.0× 68 0.5× 183 1.6× 67 0.6× 14 773
Man‐Ling Lee 383 0.8× 397 1.0× 84 0.6× 155 1.3× 75 0.7× 17 625

Countries citing papers authored by David A. Cosgrove

Since Specialization
Citations

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

Fields of papers citing papers by David A. Cosgrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Cosgrove

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