Alan Twaddle

1.2k total citations
10 papers, 522 citations indexed

About

Alan Twaddle is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Alan Twaddle has authored 10 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Alan Twaddle's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and RNA and protein synthesis mechanisms (2 papers). Alan Twaddle is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers) and RNA and protein synthesis mechanisms (2 papers). Alan Twaddle collaborates with scholars based in United States, Australia and United Kingdom. Alan Twaddle's co-authors include Elodie Ghedin, Edward C. Holmes, Jay V. DePasse, Kristin C. Gunsalus, Benoı̂t Marchand, Matthew B. Rogers, Hin Hark Gan, David E. Wentworth, Rebecca Halpin and Xudong Lin and has published in prestigious journals such as Nature Genetics, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

Alan Twaddle

10 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan Twaddle United States	9	248	160	145	77	68	10	522
Elizabeth Vitalis United States	12	128 0.5×	163 1.0×	351 2.4×	42 0.5×	64 0.9×	15	724
Satoshi Taharaguchi Japan	14	245 1.0×	203 1.3×	111 0.8×	44 0.6×	24 0.4×	57	617
A. Gelhaus Germany	11	73 0.3×	71 0.4×	172 1.2×	121 1.6×	69 1.0×	15	528
Min Liao China	21	327 1.3×	204 1.3×	214 1.5×	152 2.0×	40 0.6×	49	1.1k
Chantale Provost Canada	15	56 0.2×	161 1.0×	115 0.8×	58 0.8×	60 0.9×	40	519
Matae Ahn Singapore	11	98 0.4×	512 3.2×	146 1.0×	152 2.0×	24 0.4×	15	829
Eiko Matsuo Japan	13	78 0.3×	320 2.0×	105 0.7×	20 0.3×	191 2.8×	23	596
Robert E. Johnston United States	9	163 0.7×	268 1.7×	96 0.7×	114 1.5×	37 0.5×	14	589
Carlos F. Arias Mexico	15	131 0.5×	484 3.0×	164 1.1×	48 0.6×	15 0.2×	20	866
P. A. W. Harper Australia	19	139 0.6×	93 0.6×	249 1.7×	23 0.3×	87 1.3×	37	908

Countries citing papers authored by Alan Twaddle

Since Specialization

Citations

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

Fields of papers citing papers by Alan Twaddle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Twaddle

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

Gan, Hin Hark, Alan Twaddle, Benoı̂t Marchand, & Kristin C. Gunsalus. (2021). Structural Modeling of the SARS-CoV-2 Spike/Human ACE2 Complex Interface can Identify High-Affinity Variants Associated with Increased Transmissibility. Journal of Molecular Biology. 433(15). 167051–167051. 55 indexed citations

Tracey, Alan, Jeremy M. Foster, Michael Paulini, et al.. (2020). Nearly Complete Genome Sequence of Brugia malayi Strain FR3. Microbiology Resource Announcements. 9(24). 11 indexed citations

Grote, Alexandra, Denis Voronin, Tao Ding, et al.. (2017). Defining Brugia malayi and Wolbachia symbiosis by stage-specific dual RNA-seq. PLoS neglected tropical diseases. 11(3). e0005357–e0005357. 31 indexed citations

Poon, Leo L. M., Timothy Song, Roni Rosenfeld, et al.. (2016). Quantifying influenza virus diversity and transmission in humans. Nature Genetics. 48(2). 195–200. 118 indexed citations

Rogers, Matthew B., Timothy Song, Robert Sebra, et al.. (2015). Intrahost Dynamics of Antiviral Resistance in Influenza A Virus Reflect Complex Patterns of Segment Linkage, Reassortment, and Natural Selection. mBio. 6(2). 45 indexed citations

Ozburn, Angela R., Edgardo Falcón, Alan Twaddle, et al.. (2014). Direct Regulation of Diurnal Drd3 Expression and Cocaine Reward by NPAS2. Biological Psychiatry. 77(5). 425–433. 70 indexed citations

Saira, Kazima, Xudong Lin, Jay V. DePasse, et al.. (2013). Sequence Analysis of In Vivo Defective Interfering-Like RNA of Influenza A H1N1 Pandemic Virus. UCL Discovery (University College London). 2 indexed citations

Min, Ji-Young, Celia Santos, Adam Fitch, et al.. (2013). Mammalian Adaptation in the PB2 Gene of Avian H5N1 Influenza Virus. Journal of Virology. 87(19). 10884–10888. 36 indexed citations

Saira, Kazima, Xudong Lin, Jay V. DePasse, et al.. (2013). Sequence Analysis of In Vivo Defective Interfering-Like RNA of Influenza A H1N1 Pandemic Virus. Journal of Virology. 87(14). 8064–8074. 128 indexed citations

10.

Kerr, Peter J., Matthew B. Rogers, Adam Fitch, et al.. (2013). Genome Scale Evolution of Myxoma Virus Reveals Host-Pathogen Adaptation and Rapid Geographic Spread. Journal of Virology. 87(23). 12900–12915. 26 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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