Don B. Gammon

1.1k total citations
26 papers, 794 citations indexed

About

Don B. Gammon is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Don B. Gammon has authored 26 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Epidemiology and 9 papers in Genetics. Recurrent topics in Don B. Gammon's work include Herpesvirus Infections and Treatments (8 papers), Poxvirus research and outbreaks (7 papers) and Virus-based gene therapy research (5 papers). Don B. Gammon is often cited by papers focused on Herpesvirus Infections and Treatments (8 papers), Poxvirus research and outbreaks (7 papers) and Virus-based gene therapy research (5 papers). Don B. Gammon collaborates with scholars based in United States, Canada and Belgium. Don B. Gammon's co-authors include Craig C. Mello, David H. Evans, Graciela Andreï, Weifeng Gu, Robert Snoeck, Pierre Fiten, Ghislain Opdenakker, Erik De Clercq, Wen Li and Barbara S. Zielinski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Don B. Gammon

25 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don B. Gammon United States 15 315 212 205 186 179 26 794
Brent E. Gowen Canada 14 265 0.8× 72 0.3× 183 0.9× 182 1.0× 161 0.9× 26 742
Ellen Sherwood Sweden 10 393 1.2× 156 0.7× 77 0.4× 565 3.0× 115 0.6× 14 1.3k
Takashi Tsuruhara Japan 17 262 0.8× 135 0.6× 112 0.5× 129 0.7× 114 0.6× 34 765
Huân M. Ngô United States 15 663 2.1× 605 2.9× 68 0.3× 78 0.4× 165 0.9× 22 1.5k
Earl Weidner United States 21 359 1.1× 314 1.5× 48 0.2× 65 0.3× 263 1.5× 55 1.6k
Zsolt Csabai Hungary 15 281 0.9× 370 1.7× 37 0.2× 49 0.3× 144 0.8× 47 739
R. M. Elliott United Kingdom 11 162 0.5× 158 0.7× 31 0.2× 114 0.6× 91 0.5× 17 610
Rolf Entzeroth Germany 21 146 0.5× 177 0.8× 41 0.2× 65 0.3× 44 0.2× 78 1.1k
Michael T. Eickbush United States 10 362 1.1× 115 0.5× 104 0.5× 162 0.9× 262 1.5× 12 561
Consuelo Latorre Fortes-Dias Brazil 22 365 1.2× 483 2.3× 136 0.7× 549 3.0× 67 0.4× 82 1.5k

Countries citing papers authored by Don B. Gammon

Since Specialization
Citations

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

Fields of papers citing papers by Don B. Gammon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don B. Gammon. 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 Don B. Gammon. The network helps show where Don B. Gammon may publish in the future.

Co-authorship network of co-authors of Don B. Gammon

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

All Works

20 of 20 papers shown
1.
Rex, Emily A., et al.. (2025). Mammalian innate antiviral defenses: beyond interferon. Journal of Virology. 99(11). e0170724–e0170724.
2.
Rex, Emily A., Dahee Seo, Chelsea Pinkham, et al.. (2024). FEAR antiviral response pathway is independent of interferons and countered by poxvirus proteins. Nature Microbiology. 9(4). 988–1006. 2 indexed citations
3.
Heisler, David B., et al.. (2024). Exploiting bacterial effector proteins to uncover evolutionarily conserved antiviral host machinery. PLoS Pathogens. 20(5). e1012010–e1012010. 1 indexed citations
4.
Seo, Dahee, Emily A. Rex, Xuecheng Ye, et al.. (2024). Poxvirus A51R proteins regulate microtubule stability and antagonize a cell-intrinsic antiviral response. Cell Reports. 43(3). 113882–113882. 7 indexed citations
5.
Rus, Florentina, Ying Chen, Anni Kleino, et al.. (2019). IIV-6 Inhibits NF-κB Responses in Drosophila. Viruses. 11(5). 409–409. 14 indexed citations
6.
Zhang, Jing, Qian Cong, Emily A. Rex, et al.. (2019). Gypsy moth genome provides insights into flight capability and virus–host interactions. Proceedings of the National Academy of Sciences. 116(5). 1669–1678. 33 indexed citations
7.
Rex, Emily A., Dahee Seo, & Don B. Gammon. (2018). Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors. Journal of Visualized Experiments. 5 indexed citations
8.
Rex, Emily A., Dahee Seo, & Don B. Gammon. (2018). Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors. Journal of Visualized Experiments. 2 indexed citations
9.
Martin, A., Emily A. Rex, Takao Ishidate, Rueyling Lin, & Don B. Gammon. (2017). Infection of Caenorhabditis elegans with Vesicular Stomatitis Virus via Microinjection. BIO-PROTOCOL. 7(22). 4 indexed citations
10.
Gammon, Don B.. (2017). Caenorhabditis elegans as an Emerging Model for Virus-Host Interactions. Journal of Virology. 91(23). 25 indexed citations
11.
Gammon, Don B., Takao Ishidate, Lichao Li, et al.. (2017). The Antiviral RNA Interference Response Provides Resistance to Lethal Arbovirus Infection and Vertical Transmission in Caenorhabditis elegans. Current Biology. 27(6). 795–806. 55 indexed citations
12.
Gu, Weifeng, Glen R. Gallagher, Weiwei Dai, et al.. (2015). Influenza A virus preferentially snatches noncoding RNA caps. RNA. 21(12). 2067–2075. 57 indexed citations
13.
Gammon, Don B. & Craig C. Mello. (2015). RNA interference-mediated antiviral defense in insects. Current Opinion in Insect Science. 8. 111–120. 133 indexed citations
14.
Gammon, Don B., Sophie Duraffour, Dan Rozelle, et al.. (2014). A single vertebrate DNA virus protein disarms invertebrate immunity to RNA virus infection. eLife. 3. 20 indexed citations
15.
Rintoul, Julia L., Jiahu Wang, Don B. Gammon, et al.. (2011). A Selectable and Excisable Marker System for the Rapid Creation of Recombinant Poxviruses. PLoS ONE. 6(9). e24643–e24643. 36 indexed citations
16.
Gammon, Don B., et al.. (2010). Vaccinia Virus–Encoded Ribonucleotide Reductase Subunits Are Differentially Required for Replication and Pathogenesis. PLoS Pathogens. 6(7). e1000984–e1000984. 66 indexed citations
17.
Gammon, Don B., Robert Snoeck, Pierre Fiten, et al.. (2008). Mechanism of Antiviral Drug Resistance of Vaccinia Virus: Identification of Residues in the Viral DNA Polymerase Conferring Differential Resistance to Antipoxvirus Drugs. Journal of Virology. 82(24). 12520–12534. 36 indexed citations
18.
Andreï, Graciela, Don B. Gammon, Pierre Fiten, et al.. (2006). Cidofovir Resistance in Vaccinia Virus Is Linked to Diminished Virulencein Mice. Journal of Virology. 80(19). 9391–9401. 70 indexed citations
19.
Nuara, Anthony A., et al.. (2006). Duplex strand joining reactions catalyzed by vaccinia virus DNA polymerase. Nucleic Acids Research. 35(1). 143–151. 54 indexed citations
20.
Gammon, Don B., Wen Li, Alexander P. Scott, Barbara S. Zielinski, & Lynda D. Corkum. (2005). Behavioural responses of female Neogobius melanostomus to odours of conspecifics. Journal of Fish Biology. 67(3). 615–626. 39 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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