Dennis C. Quinlan

25 total papers · 998 total citations
20 papers, 800 citations indexed

About

Dennis C. Quinlan is a scholar working on Molecular Biology, Physiology and Ecology. According to data from OpenAlex, Dennis C. Quinlan has authored 20 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Ecology. Recurrent topics in Dennis C. Quinlan's work include Adenosine and Purinergic Signaling (6 papers), Bacteriophages and microbial interactions (5 papers) and Microbial infections and disease research (3 papers). Dennis C. Quinlan is often cited by papers focused on Adenosine and Purinergic Signaling (6 papers), Bacteriophages and microbial interactions (5 papers) and Microbial infections and disease research (3 papers). Dennis C. Quinlan collaborates with scholars based in United States, Spain and Israel. Dennis C. Quinlan's co-authors include Joy Hochstadt, A.G. Davidson, Himanshu M Doshi, Jack Maniloff, W. F. Benedict, J. Li, Hang Xu, Shimin Hu, Ann G. Davidson and David R. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and JNCI Journal of the National Cancer Institute.

In The Last Decade

Dennis C. Quinlan

20 papers receiving 737 citations

Author Peers

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

Author						Papers	Cites
Dennis C. Quinlan	387	355	210	123	110	20	800
Kiersten Marie Miles	595 1.5×	242 0.7×	268 1.3×	98 0.8×	154 1.4×	26	920
Rachel A. Egler	395 1.0×	151 0.4×	72 0.3×	211 1.7×	101 0.9×	25	905
Hyang Sook Seol	326 0.8×	287 0.8×	98 0.5×	54 0.4×	228 2.1×	22	752
Tove Irene Klokk	459 1.2×	137 0.4×	169 0.8×	42 0.3×	110 1.0×	26	937
Emma Marshman	508 1.3×	352 1.0×	72 0.3×	136 1.1×	126 1.1×	14	960
Elizabeth K. Duperret	466 1.2×	432 1.2×	81 0.4×	49 0.4×	141 1.3×	25	1.1k
Laura Castellini	432 1.1×	350 1.0×	152 0.7×	83 0.7×	313 2.8×	19	1.0k
Jin-Yuh Shew	532 1.4×	471 1.3×	69 0.3×	70 0.6×	220 2.0×	13	1.0k
Daniel Lottaz	436 1.1×	235 0.7×	94 0.4×	109 0.9×	384 3.5×	26	1.0k
Yanbin Kuang	510 1.3×	246 0.7×	286 1.4×	44 0.4×	325 3.0×	24	1.0k

Countries citing papers authored by Dennis C. Quinlan

Since Specialization

Citations

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

Fields of papers citing papers by Dennis C. Quinlan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis C. Quinlan. 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 Dennis C. Quinlan. The network helps show where Dennis C. Quinlan may publish in the future.

Co-authorship network of co-authors of Dennis C. Quinlan

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis C. Quinlan. A scholar is included among the top collaborators of Dennis C. Quinlan 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 Dennis C. Quinlan. Dennis C. Quinlan 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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