David N. Quan

38 total papers · 1.0k total citations
33 papers, 814 citations indexed

About

David N. Quan is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, David N. Quan has authored 33 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Biomedical Engineering. Recurrent topics in David N. Quan's work include Bacterial Genetics and Biotechnology (11 papers), Bacterial biofilms and quorum sensing (9 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). David N. Quan is often cited by papers focused on Bacterial Genetics and Biotechnology (11 papers), Bacterial biofilms and quorum sensing (9 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). David N. Quan collaborates with scholars based in United States, Russia and Nepal. David N. Quan's co-authors include William E. Bentley, Gregory F. Payne, Hsuan‐Chen Wu, Chen‐Yu Tsao, Amin Zargar, Joseph Shiloach, Laura Abaandou, Reza Ghodssi, Jessica L. Terrell and Ryan T. McKay and has published in prestigious journals such as Free Radical Biology and Medicine, The ISME Journal and Lab on a Chip.

In The Last Decade

David N. Quan

33 papers receiving 802 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 N. Quan 504 238 144 70 69 33 814
Susan A. Safley 202 0.4× 97 0.4× 317 2.2× 83 1.2× 14 0.2× 30 956
Hamid Mobasheri 321 0.6× 303 1.3× 99 0.7× 9 0.1× 41 0.6× 47 901
Keira Melican 254 0.5× 102 0.4× 48 0.3× 12 0.2× 35 0.5× 33 773
Alejandro Negrete 548 1.1× 128 0.5× 266 1.8× 50 0.7× 42 0.6× 40 906
Kwang‐il Lim 435 0.9× 179 0.8× 168 1.2× 35 0.5× 42 0.6× 44 995
Kieran McGourty 244 0.5× 138 0.6× 114 0.8× 23 0.3× 53 0.8× 31 816
Haishan Qi 484 1.0× 260 1.1× 38 0.3× 49 0.7× 44 0.6× 45 869
Martí Lecina 559 1.1× 280 1.2× 124 0.9× 82 1.2× 15 0.2× 47 763
María Eugenia Inda 346 0.7× 221 0.9× 81 0.6× 28 0.4× 63 0.9× 17 701
Michael McCaman 527 1.0× 128 0.5× 268 1.9× 40 0.6× 57 0.8× 28 952

Countries citing papers authored by David N. Quan

Since Specialization
Citations

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

Fields of papers citing papers by David N. Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Quan

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