Mark Parrington

1.0k total citations
18 papers, 796 citations indexed

About

Mark Parrington is a scholar working on Epidemiology, Infectious Diseases and Virology. According to data from OpenAlex, Mark Parrington has authored 18 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Infectious Diseases and 6 papers in Virology. Recurrent topics in Mark Parrington's work include Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (4 papers). Mark Parrington is often cited by papers focused on Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (4 papers). Mark Parrington collaborates with scholars based in United States, Canada and France. Mark Parrington's co-authors include C. Yong Kang, Raymond P. Oomen, Xiaomao Li, Suryaprakash Sambhara, Stephen F. Anderson, G A Cates, Olive James, Michel Klein, Harry Kleanthous and C. Yong Kang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Mark Parrington

18 papers receiving 776 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 Parrington United States 12 405 278 206 148 118 18 796
Bingqian Qu China 20 585 1.4× 352 1.3× 255 1.2× 305 2.1× 50 0.4× 34 1.2k
Catherine Legras‐Lachuer France 20 294 0.7× 253 0.9× 348 1.7× 158 1.1× 36 0.3× 42 994
Velasco Cimica United States 17 140 0.3× 317 1.1× 369 1.8× 220 1.5× 45 0.4× 24 905
Junping Ren United States 14 258 0.6× 199 0.7× 403 2.0× 187 1.3× 39 0.3× 24 742
Malcolm Lawson Australia 14 234 0.6× 86 0.3× 100 0.5× 142 1.0× 117 1.0× 26 620
Christy Comeaux United States 13 410 1.0× 233 0.8× 226 1.1× 103 0.7× 119 1.0× 24 765
Michael E. Lindquist United States 10 188 0.5× 282 1.0× 272 1.3× 100 0.7× 44 0.4× 12 668
Hironori Nishitsuji Japan 20 337 0.8× 267 1.0× 497 2.4× 296 2.0× 25 0.2× 56 1.1k
Takahiro Sanada Japan 15 195 0.5× 266 1.0× 241 1.2× 127 0.9× 13 0.1× 49 623
Christopher J. Keefer United States 9 286 0.7× 195 0.7× 293 1.4× 194 1.3× 29 0.2× 11 789

Countries citing papers authored by Mark Parrington

Since Specialization
Citations

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

Fields of papers citing papers by Mark Parrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Parrington

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

All Works

18 of 18 papers shown
1.
Kishko, Michael, Charles Pin‐Kuang Lai, Mark Parrington, et al.. (2024). Mutations in the F protein of the live-attenuated respiratory syncytial virus vaccine candidate ΔNS2/Δ1313/I1314L increase the stability of infectivity and content of prefusion F protein. PLoS ONE. 19(4). e0301773–e0301773. 4 indexed citations
2.
Groppo, Rachel, Joshua M. DiNapoli, Michael Kishko, et al.. (2018). Effect of genetic background and delivery route on the preclinical properties of a live attenuated RSV vaccine. PLoS ONE. 13(6). e0199452–e0199452. 9 indexed citations
3.
Ahmad, Rushdy, Kathleen D. Press, Amanda K. Lukens, et al.. (2017). Quantitative Proteomic Profiling Reveals Novel Plasmodium falciparum Surface Antigens and Possible Vaccine Candidates. Molecular & Cellular Proteomics. 17(1). 43–60. 23 indexed citations
4.
Giel–Moloney, Maryann, Alexander A. Rumyantsev, Fred R. David, et al.. (2017). A novel approach to a rabies vaccine based on a recombinant single-cycle flavivirus vector. Vaccine. 35(49). 6898–6904. 8 indexed citations
5.
Giel–Moloney, Maryann, Michael Vaine, Linong Zhang, et al.. (2017). Application of replication-defective West Nile virus vector to non-flavivirus vaccine targets. Human Vaccines & Immunotherapeutics. 13(12). 2982–2986. 2 indexed citations
6.
Mundle, Sophia T., Michael Kishko, Rachel Groppo, et al.. (2016). Core bead chromatography for preparation of highly pure, infectious respiratory syncytial virus in the negative purification mode. Vaccine. 34(32). 3690–3696. 15 indexed citations
7.
Carter, Donald M., Corey J. Crevar, Timothy Alefantis, et al.. (2016). Design and Characterization of a Computationally Optimized Broadly Reactive Hemagglutinin Vaccine for H1N1 Influenza Viruses. Journal of Virology. 90(9). 4720–4734. 144 indexed citations
8.
Jeong, Kwang‐il, Peter Piepenhagen, Michael Kishko, et al.. (2015). CX3CR1 Is Expressed in Differentiated Human Ciliated Airway Cells and Co-Localizes with Respiratory Syncytial Virus on Cilia in a G Protein-Dependent Manner. PLoS ONE. 10(6). e0130517–e0130517. 85 indexed citations
9.
Hernandez, Hector Lopez, et al.. (2013). Analysis of the humoral immune response to HSV-2 glycoproteins in ACAM529-vaccinated mice. (P4519). The Journal of Immunology. 190(Supplement_1). 179.22–179.22. 1 indexed citations
10.
Delagrave, Simon, Hector Lopez Hernandez, Changhong Zhou, et al.. (2012). Immunogenicity and Efficacy of Intramuscular Replication-Defective and Subunit Vaccines against Herpes Simplex Virus Type 2 in the Mouse Genital Model. PLoS ONE. 7(10). e46714–e46714. 32 indexed citations
11.
Jacobs, Bertram L., Karen V. Kibler, Shukmei Wong, et al.. (2009). OA021-01. Construction and characterization of replication competent attenuated NYVAC-based vectors as potential HIV vaccines. Retrovirology. 6(S3). 1 indexed citations
12.
Bos, Rinke, Suzanne van Duikeren, Thorbald van Hall, et al.. (2007). Characterization of Antigen-Specific Immune Responses Induced by Canarypox Virus Vaccines. The Journal of Immunology. 179(9). 6115–6122. 19 indexed citations
14.
Radvanyi, Laszlo, Gustavo V. Mallo, Kurt Gish, et al.. (2005). The gene associated with trichorhinophalangeal syndrome in humans is overexpressed in breast cancer. Proceedings of the National Academy of Sciences. 102(31). 11005–11010. 183 indexed citations
15.
Li, Xiaomao, Suryaprakash Sambhara, G A Cates, et al.. (2000). Plasmid DNA Encoding the Respiratory Syncytial Virus G Protein Is a Promising Vaccine Candidate. Virology. 269(1). 54–65. 57 indexed citations
16.
Li, Xiaomao, Suryaprakash Sambhara, Mark Parrington, et al.. (1998). Protection against Respiratory Syncytial Virus Infection by DNA Immunization. The Journal of Experimental Medicine. 188(4). 681–688. 94 indexed citations
17.
Parrington, Mark, et al.. (1991). Molecular Characterization of the Prospect Hill virus M RNA Segment: a Comparison with the M RNA Segments of Other Hantaviruses. Journal of General Virology. 72(8). 1845–1854. 38 indexed citations
18.
Parrington, Mark & C. Yong Kang. (1990). Nucleotide sequence analysis of the s genomic segment of prospect hill virus: Comparison with the prototype hantavirus. Virology. 175(1). 167–175. 58 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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