David R. Friend

147 total papers · 4.4k total citations
114 papers, 3.5k citations indexed

About

David R. Friend is a scholar working on Infectious Diseases, Microbiology and Pharmaceutical Science. According to data from OpenAlex, David R. Friend has authored 114 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Infectious Diseases, 35 papers in Microbiology and 33 papers in Pharmaceutical Science. Recurrent topics in David R. Friend's work include Reproductive tract infections research (35 papers), HIV/AIDS Research and Interventions (31 papers) and Drug Solubulity and Delivery Systems (15 papers). David R. Friend is often cited by papers focused on Reproductive tract infections research (35 papers), HIV/AIDS Research and Interventions (31 papers) and Drug Solubulity and Delivery Systems (15 papers). David R. Friend collaborates with scholars based in United States, Canada and United Kingdom. David R. Friend's co-authors include Meredith R. Clark, Paul Catz, Patrick F. Kiser, Thomas N. Tozer, Sharon Pangburn, George W. Chang, Gustavo F. Doncel, Lisa C. Rohan, Andrew McLeod and Justin T. Clark and has published in prestigious journals such as Gastroenterology, PLoS ONE and Advanced Drug Delivery Reviews.

In The Last Decade

David R. Friend

108 papers receiving 3.3k 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 R. Friend 1.3k 777 714 488 397 114 3.5k
José das Neves 1.9k 1.5× 560 0.7× 540 0.8× 262 0.5× 795 2.0× 97 4.4k
Karl Malcolm 597 0.5× 1.1k 1.4× 1.2k 1.6× 429 0.9× 265 0.7× 133 3.2k
Lisa C. Rohan 651 0.5× 1.5k 1.9× 1.3k 1.8× 803 1.6× 624 1.6× 135 4.0k
Gustavo F. Doncel 208 0.2× 1.3k 1.7× 1.7k 2.3× 995 2.0× 760 1.9× 193 5.1k
A. David Woolfson 6.4k 5.1× 539 0.7× 485 0.7× 671 1.4× 1.2k 3.0× 196 10.1k
Zhengrong Cui 1.3k 1.0× 602 0.8× 183 0.3× 494 1.0× 2.6k 6.6× 163 6.0k
Michael Barza 206 0.2× 1.3k 1.7× 374 0.5× 1.5k 3.1× 887 2.2× 183 7.6k
Thirumala Govender 1.9k 1.5× 373 0.5× 545 0.8× 155 0.3× 1.8k 4.4× 159 6.1k
Goutam Rath 2.5k 2.0× 282 0.4× 133 0.2× 232 0.5× 1.2k 3.0× 214 6.7k
Daniel Malamud 109 0.1× 927 1.2× 748 1.0× 888 1.8× 1.7k 4.2× 153 6.1k

Countries citing papers authored by David R. Friend

Since Specialization
Citations

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

Fields of papers citing papers by David R. Friend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Friend

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