Eleca J. Dunham

1.4k total citations
10 papers, 1.0k citations indexed

About

Eleca J. Dunham is a scholar working on Epidemiology, Molecular Biology and Ecology. According to data from OpenAlex, Eleca J. Dunham has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Eleca J. Dunham's work include Influenza Virus Research Studies (5 papers), Parasite Biology and Host Interactions (3 papers) and Animal Disease Management and Epidemiology (3 papers). Eleca J. Dunham is often cited by papers focused on Influenza Virus Research Studies (5 papers), Parasite Biology and Host Interactions (3 papers) and Animal Disease Management and Epidemiology (3 papers). Eleca J. Dunham collaborates with scholars based in United States, Panama and Philippines. Eleca J. Dunham's co-authors include Ryan F. Hechinger, Mark E. Torchin, Armand M. Kuris, Edward C. Holmes, Kevin D. Lafferty, Osamu Miura, Satoshi Chiba, Todd C. Huspeni, M. Leopoldina Aguirre‐Macedo and Julio Lorda and has published in prestigious journals such as Nature, Journal of Virology and Virology.

In The Last Decade

Eleca J. Dunham

10 papers receiving 994 citations

Peers

Eleca J. Dunham

ECOLO

PARAS

EPIDE

GENET

VIROL

T. Winston Vickers United States

Katherine C. Prager United States

Scott E. Henke United States

Gonzalo Medina‐Vogel Chile

Mark W. Cunningham United States

William C. Pitt United States

Titus Mlengeya Tanzania

Lisa M. Lyren United States

Anthony W. Sainsbury United Kingdom

Marja Isomursu Finland

T. Winston Vickers United States

Eleca J. Dunham

969 ×1.6

ECOLO

113 ×0.5

PARAS

167 ×0.8

EPIDE

321 ×1.6

GENET

138 ×0.8

VIROL

Citations per year, relative to Eleca J. Dunham Eleca J. Dunham (= 1×) peers T. Winston Vickers

Countries citing papers authored by Eleca J. Dunham

Since Specialization

Citations

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

Fields of papers citing papers by Eleca J. Dunham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eleca J. Dunham. 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 Eleca J. Dunham. The network helps show where Eleca J. Dunham may publish in the future.

Co-authorship network of co-authors of Eleca J. Dunham

This figure shows the co-authorship network connecting the top 25 collaborators of Eleca J. Dunham. A scholar is included among the top collaborators of Eleca J. Dunham 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 Eleca J. Dunham. Eleca J. Dunham 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

Ambroggio, Xavier, Jennifer Dommer, Vivek Gopalan, et al.. (2013). HASP server: a database and structural visualization platform for comparative models of influenza A hemagglutinin proteins. BMC Bioinformatics. 14(1). 197–197. 5 indexed citations

Memoli, Matthew J., et al.. (2012). In vivo evaluation of pathogenicity and transmissibility of influenza A(H1N1)pdm09 hemagglutinin receptor binding domain 222 intrahost variants isolated from a single immunocompromised patient. Virology. 428(1). 21–29. 15 indexed citations

Qi, Li, A. Sally Davis, Brett W. Jagger, et al.. (2012). Analysis by Single-Gene Reassortment Demonstrates that the 1918 Influenza Virus Is Functionally Compatible with a Low-Pathogenicity Avian Influenza Virus in Mice. Journal of Virology. 86(17). 9211–9220. 22 indexed citations

Dugan, Vivien G., Eleca J. Dunham, Zong‐Mei Sheng, et al.. (2011). Phylogenetic analysis of low pathogenicity H5N1 and H7N3 influenza A virus isolates recovered from sentinel, free flying, wild mallards at one study site during 2006. Virology. 417(1). 98–105. 15 indexed citations

Dunham, Eleca J., Vivien G. Dugan, Sarah E. Perkins, et al.. (2009). Different Evolutionary Trajectories of European Avian-Like and Classical Swine H1N1 Influenza A Viruses. Journal of Virology. 83(11). 5485–5494. 108 indexed citations

Kuris, Armand M., Ryan F. Hechinger, Jenny C. Shaw, et al.. (2008). Ecosystem energetic implications of parasite and free-living biomass in three estuaries. Nature. 454(7203). 515–518. 459 indexed citations

Bourhy, Hervé, Jean‐Marc Reynes, Eleca J. Dunham, et al.. (2008). The origin and phylogeography of dog rabies virus. Journal of General Virology. 89(11). 2673–2681. 186 indexed citations

Dunham, Eleca J. & Edward C. Holmes. (2007). Inferring the Timescale of Dengue Virus Evolution Under Realistic Models of DNA Substitution. Journal of Molecular Evolution. 64(6). 656–661. 21 indexed citations

Lafferty, Kevin D. & Eleca J. Dunham. (2005). Trematodes in Snails near Raccoon Latrines Suggest a Final Host Role for this Mammal in California Salt Marshes. Journal of Parasitology. 91(2). 474–476. 10 indexed citations

10.

Miura, Osamu, Armand M. Kuris, Mark E. Torchin, et al.. (2005). Molecular-genetic analyses reveal cryptic species of trematodes in the intertidal gastropod, Batillaria cumingi (Crosse). International Journal for Parasitology. 35(7). 793–801. 179 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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