Ryan Doonan

1.3k total citations
10 papers, 928 citations indexed

About

Ryan Doonan is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Ryan Doonan has authored 10 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aging, 5 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Ryan Doonan's work include Genetics, Aging, and Longevity in Model Organisms (10 papers), CRISPR and Genetic Engineering (4 papers) and Spaceflight effects on biology (3 papers). Ryan Doonan is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (10 papers), CRISPR and Genetic Engineering (4 papers) and Spaceflight effects on biology (3 papers). Ryan Doonan collaborates with scholars based in United States, United Kingdom and Belgium. Ryan Doonan's co-authors include David Gems, Patricia Back, Filip Matthijssens, Joshua McElwee, Jacques R. Vanfleteren, Glenda A Walker, Andrea Matscheski, Koen Houthoofd, Filipe Cabreiro and Diána Papp and has published in prestigious journals such as Genes & Development, Genetics and Free Radical Biology and Medicine.

In The Last Decade

Ryan Doonan

10 papers receiving 916 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan Doonan United States	7	619	496	247	184	57	10	928
Patricia Back Belgium	9	505 0.8×	432 0.9×	207 0.8×	150 0.8×	65 1.1×	9	809
Kathrin Schmeißer Germany	15	430 0.7×	594 1.2×	291 1.2×	127 0.7×	60 1.1×	20	1.1k
Doreen Kuhlow Germany	11	359 0.6×	504 1.0×	365 1.5×	120 0.7×	61 1.1×	13	993
Scott F. Leiser United States	16	515 0.8×	394 0.8×	328 1.3×	180 1.0×	37 0.6×	28	906
George L. Sutphin United States	15	739 1.2×	627 1.3×	367 1.5×	229 1.2×	24 0.4×	32	1.3k
Dylan J. Dues United States	15	500 0.8×	498 1.0×	219 0.9×	114 0.6×	55 1.0×	19	932
Megan M. Senchuk United States	15	554 0.9×	524 1.1×	214 0.9×	119 0.6×	58 1.0×	20	964
Sri Devi Narasimhan United States	10	1.0k 1.7×	787 1.6×	369 1.5×	391 2.1×	53 0.9×	12	1.6k
Masaharu Uno Japan	15	455 0.7×	389 0.8×	221 0.9×	203 1.1×	29 0.5×	24	872
Maren Hertweck Germany	10	1.0k 1.7×	677 1.4×	353 1.4×	413 2.2×	78 1.4×	13	1.4k

Countries citing papers authored by Ryan Doonan

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Doonan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Doonan. 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 Ryan Doonan. The network helps show where Ryan Doonan may publish in the future.

Co-authorship network of co-authors of Ryan Doonan

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Doonan. A scholar is included among the top collaborators of Ryan Doonan 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 Ryan Doonan. Ryan Doonan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Huang, George Q., et al.. (2023). mScarlet and split fluorophore mScarlet resources for plasmid-based CRISPR/Cas9 knock-in in C. elegans. PubMed. 2023. 3 indexed citations

Duong, Tam, Michael A. Q. Martinez, Jonathan D. Hibshman, et al.. (2021). An expanded auxin-inducible degron toolkit for Caenorhabditis elegans. Genetics. 217(3). 82 indexed citations

Huang, George Q., et al.. (2021). Improved CRISPR/Cas9 knock-in efficiency via the self-excising cassette (SEC) selection method in C. elegans. PubMed. 2021. 14 indexed citations

Dickinson, Daniel J., et al.. (2021). Highly improved cloning efficiency for plasmid-based CRISPR knock-in in C. elegans. PubMed. 2021. 4 indexed citations

Cabreiro, Filipe, Daniel Ackerman, Ryan Doonan, et al.. (2011). Increased life span from overexpression of superoxide dismutase in Caenorhabditis elegans is not caused by decreased oxidative damage. Free Radical Biology and Medicine. 51(8). 1575–1582. 108 indexed citations

Schuster, Eugene F., Joshua McElwee, Jennifer M. A. Tullet, et al.. (2010). DamID in C. elegans reveals longevity‐associated targets of DAF‐16/FoxO. Molecular Systems Biology. 6(1). 399–399. 105 indexed citations

Gems, David & Ryan Doonan. (2009). Antioxidant defense and aging inC. elegans: Is the oxidative damage theory of aging wrong?. Cell Cycle. 8(11). 1681–1687. 205 indexed citations

Doonan, Ryan, et al.. (2008). HLH-3 is a C. elegans Achaete/Scute protein required for differentiation of the hermaphrodite-specific motor neurons. Mechanisms of Development. 125(9-10). 883–893. 23 indexed citations

Doonan, Ryan, Joshua McElwee, Filip Matthijssens, et al.. (2008). Against the oxidative damage theory of aging: superoxide dismutases protect against oxidative stress but have little or no effect on life span in Caenorhabditis elegans. Genes & Development. 22(23). 3236–3241. 382 indexed citations

10.

Gems, David & Ryan Doonan. (2008). The Nematode Caenorhabditis elegans: Oxidative Stress and Aging in the Nematode Caenorhabditis elegans. 2 indexed citations

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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