Mark Dittmar

1.3k total citations
19 papers, 649 citations indexed

About

Mark Dittmar is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Mark Dittmar has authored 19 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 9 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Mark Dittmar's work include Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (8 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Mark Dittmar is often cited by papers focused on Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (8 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Mark Dittmar collaborates with scholars based in United States and Switzerland. Mark Dittmar's co-authors include Sara Cherry, Holly Ramage, Minghua Li, D. Schultz, Kellie A. Jurado, Jae Seung Lee, Kanupriya Whig, Robert E. Anderson, Elisha Segrist and Kristen W. Lynch and has published in prestigious journals such as Molecular Cell, PLoS ONE and PLoS Pathogens.

In The Last Decade

Mark Dittmar

18 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Dittmar United States 11 327 266 230 83 74 19 649
Young‐Chan Kwon South Korea 14 269 0.8× 233 0.9× 122 0.5× 185 2.2× 199 2.7× 25 759
Sundy N.Y. Yang Australia 12 254 0.8× 293 1.1× 54 0.2× 99 1.2× 42 0.6× 15 670
Anh Tran Canada 13 184 0.6× 225 0.8× 133 0.6× 21 0.3× 128 1.7× 36 573
Maaran Michael Rajah France 11 712 2.2× 201 0.8× 187 0.8× 174 2.1× 108 1.5× 11 932
Marco R. Straus United States 13 550 1.7× 568 2.1× 114 0.5× 41 0.5× 165 2.2× 18 1.4k
Tiffany Tang United States 10 707 2.2× 249 0.9× 80 0.3× 20 0.2× 85 1.1× 12 912
Mathieu Hubert France 7 549 1.7× 205 0.8× 226 1.0× 65 0.8× 60 0.8× 14 784
Miya K. Bidon United States 4 587 1.8× 208 0.8× 70 0.3× 17 0.2× 63 0.9× 5 744
Lok-Yin Roy Wong United States 13 579 1.8× 177 0.7× 215 0.9× 13 0.2× 71 1.0× 24 818
Aikaterini Alexaki United States 15 310 0.9× 487 1.8× 176 0.8× 42 0.5× 125 1.7× 23 1.0k

Countries citing papers authored by Mark Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Dittmar

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

All Works

19 of 19 papers shown
1.
Li, Minghua, Megan L. O’Mara, Mark Dittmar, et al.. (2025). An integrated proteomics approach identifies phosphorylation sites on viral and host proteins that regulate West Nile virus infection. Cell Reports. 44(5). 115728–115728.
2.
Griesman, Trevor, Cynthia M. McMillen, Kanupriya Whig, et al.. (2024). The lipopeptide Pam3CSK4 inhibits Rift Valley fever virus infection and protects from encephalitis. PLoS Pathogens. 20(6). e1012343–e1012343. 2 indexed citations
3.
Lee, Jae Seung, Mark Dittmar, Jesse Miller, et al.. (2024). Pressure to evade cell-autonomous innate sensing reveals interplay between mitophagy, IFN signaling, and SARS-CoV-2 evolution. Cell Reports. 44(1). 115115–115115. 1 indexed citations
4.
Li, Minghua, Kasirajan Ayyanathan, Mark Dittmar, et al.. (2023). SARS-CoV-2 ORF6 protein does not antagonize interferon signaling in respiratory epithelial Calu-3 cells during infection. mBio. 14(4). e0119423–e0119423. 8 indexed citations
5.
Dittmar, Mark, Kanupriya Whig, Jesse Miller, et al.. (2023). Nucleoside analogs NM107 and AT-527 are antiviral against rubella virus. PNAS Nexus. 2(9). pgad256–pgad256. 2 indexed citations
6.
Basavappa, Megha, Max Ferretti, Mark Dittmar, et al.. (2022). The lncRNA ALPHA specifically targets chikungunya virus to control infection. Molecular Cell. 82(19). 3729–3744.e10. 11 indexed citations
7.
Li, Minghua, Max Ferretti, Baoling Ying, et al.. (2021). Pharmacological activation of STING blocks SARS-CoV-2 infection. Science Immunology. 6(59). 143 indexed citations
8.
Vazquez, Christine, Mark Dittmar, Jesse Miller, et al.. (2021). SARS-CoV-2 viral proteins NSP1 and NSP13 inhibit interferon activation through distinct mechanisms. PLoS ONE. 16(6). e0253089–e0253089. 78 indexed citations
9.
Dittmar, Mark, Jae Seung Lee, Kanupriya Whig, et al.. (2021). Drug repurposing screens reveal cell-type-specific entry pathways and FDA-approved drugs active against SARS-Cov-2. Cell Reports. 35(1). 108959–108959. 151 indexed citations
10.
Segrist, Elisha, Mark Dittmar, Beth Gold, & Sara Cherry. (2021). Orally acquired cyclic dinucleotides drive dSTING-dependent antiviral immunity in enterocytes. Cell Reports. 37(13). 110150–110150. 16 indexed citations
11.
Palmer, William, Mark Dittmar, Beth Gordesky-Gold, Jennifer Hofmann, & Sara Cherry. (2020). Drosophila melanogaster as a model for arbovirus infection of adult salivary glands. Virology. 543. 1–6. 10 indexed citations
12.
Thompson, Matthew G., Mark Dittmar, Michael J. Mallory, et al.. (2020). Viral-induced alternative splicing of host genes promotes influenza replication. eLife. 9. 46 indexed citations
13.
Dittmar, Mark, Jae Seung Lee, Kanupriya Whig, et al.. (2020). Drug Repurposing Screens Reveal FDA Approved Drugs Active Against SARS-CoV-2. SSRN Electronic Journal. 20 indexed citations
14.
Li, Minghua, Jeffrey R. Johnson, Billy Truong, et al.. (2019). Identification of antiviral roles for the exon–junction complex and nonsense-mediated decay in flaviviral infection. Nature Microbiology. 4(6). 985–995. 52 indexed citations
15.
Hackett, Brent A., Mark Dittmar, Elisha Segrist, et al.. (2019). Sirtuin Inhibitors Are Broadly Antiviral against Arboviruses. mBio. 10(4). 23 indexed citations
16.
Jackson, David W., Michelle C. Callegan, Nick Mamalis, & Mark Dittmar. (2008). Capsular Washing to Prevent Posterior Capsular Opacification in a Rabbit Model. Investigative Ophthalmology & Visual Science. 49(13). 390–390. 1 indexed citations
17.
Tanito, Masaki, Feng Li, Michael H. Elliott, Mark Dittmar, & Robert E. Anderson. (2007). Protective Effect of TEMPOL Derivatives against Light-Induced Retinal Damage in Rats. Investigative Ophthalmology & Visual Science. 48(4). 1900–1900. 58 indexed citations
18.
Cao, Wei, et al.. (2003). In vivo Protection of Photoreceptors from Light Damage in Rat by 17 ß-estradiol. Investigative Ophthalmology & Visual Science. 44(13). 5123–5123. 1 indexed citations
19.
Dittmar, Mark, et al.. (2003). L-NAME protects against acute light damage in albino rats, but not against retinal degeneration in P23H and S334ter transgenic rats. Experimental Eye Research. 76(4). 453–461. 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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