Martin J. Deymier

892 total citations
15 papers, 392 citations indexed

About

Martin J. Deymier is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Martin J. Deymier has authored 15 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Virology, 6 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Martin J. Deymier's work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (5 papers) and HIV/AIDS Research and Interventions (4 papers). Martin J. Deymier is often cited by papers focused on HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (5 papers) and HIV/AIDS Research and Interventions (4 papers). Martin J. Deymier collaborates with scholars based in United States, United Kingdom and France. Martin J. Deymier's co-authors include Eric Hunter, Zachary Ende, Susan Allen, Patricia Campbell, John Steel, Lonnie Lybarger, Constantinos S. Kyriakis, Anice C. Lowen, Shamika Danzy and William Kilembe and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Martin J. Deymier

15 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin J. Deymier United States 9 154 144 140 116 109 15 392
Yoshii Nishino Japan 14 138 0.9× 152 1.1× 119 0.8× 103 0.9× 143 1.3× 27 422
Laura Graf Germany 11 173 1.1× 60 0.4× 150 1.1× 75 0.6× 130 1.2× 19 379
Philippe Metz Germany 8 296 1.9× 72 0.5× 196 1.4× 122 1.1× 211 1.9× 9 659
Madoka Kuramitsu Japan 14 126 0.8× 65 0.5× 237 1.7× 61 0.5× 192 1.8× 44 462
Darja Pollpeter United Kingdom 9 96 0.6× 212 1.5× 240 1.7× 135 1.2× 194 1.8× 10 461
Lindsey B. Crawford United States 15 371 2.4× 101 0.7× 174 1.2× 82 0.7× 144 1.3× 31 592
William J. Neidermyer United States 8 209 1.4× 305 2.1× 341 2.4× 195 1.7× 134 1.2× 10 603
Serena Ziglio Italy 6 160 1.0× 394 2.7× 189 1.4× 201 1.7× 143 1.3× 8 525
Claire Ham United Kingdom 10 123 0.8× 256 1.8× 116 0.8× 182 1.6× 73 0.7× 26 438
Richard Hampton United States 6 48 0.3× 176 1.2× 178 1.3× 116 1.0× 264 2.4× 7 500

Countries citing papers authored by Martin J. Deymier

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Deymier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin J. Deymier

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

All Works

15 of 15 papers shown
1.
Gounder, Kamini, Martin J. Deymier, Krista L. Dong, et al.. (2023). Generation and characterization of infectious molecular clones of transmitted/founder HIV-1 subtype C viruses. Virology. 583. 14–26. 3 indexed citations
2.
Schiff, Abigail E., Martin J. Deymier, Thomas Diefenbach, et al.. (2021). T cell-tropic HIV efficiently infects alveolar macrophages through contact with infected CD4+ T cells. Scientific Reports. 11(1). 3890–3890. 25 indexed citations
3.
Ende, Zachary, Martin J. Deymier, Daniel T. Claiborne, et al.. (2018). HLA Class I Downregulation by HIV-1 Variants from Subtype C Transmission Pairs. Journal of Virology. 92(7). 8 indexed citations
4.
Dutta, Debashis, et al.. (2018). High throughput generation and characterization of replication-competent clade C transmitter-founder simian human immunodeficiency viruses. PLoS ONE. 13(5). e0196942–e0196942. 4 indexed citations
5.
Schwartz, J., Hongliang Zhang, Zachary Ende, et al.. (2018). Characterization of the Plasmacytoid Dendritic Cell Response to Transmitted/Founder and Nontransmitted Variants of HIV-1. Journal of Virology. 92(19). 3 indexed citations
6.
Collier, Dami A., Daniel T. Claiborne, Jessica Prince, et al.. (2016). Wide variation in susceptibility of transmitted/founder HIV-1 subtype C Isolates to protease inhibitors and association with in vitro replication efficiency. Scientific Reports. 6(1). 38153–38153. 8 indexed citations
7.
Dilernia, Darío, Daniela C. Mónaco, Michael Brown, et al.. (2015). Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing. Nucleic Acids Research. 43(20). e129–e129. 38 indexed citations
8.
Deymier, Martin J., Zachary Ende, Angharad E. Fenton-May, et al.. (2015). Heterosexual Transmission of Subtype C HIV-1 Selects Consensus-Like Variants without Increased Replicative Capacity or Interferon-α Resistance. PLoS Pathogens. 11(9). e1005154–e1005154. 63 indexed citations
9.
Deymier, Martin J., Daniel T. Claiborne, Zachary Ende, et al.. (2014). Particle infectivity of HIV-1 full-length genome infectious molecular clones in a subtype C heterosexual transmission pair following high fidelity amplification and unbiased cloning. Virology. 468-470. 454–461. 20 indexed citations
10.
Campbell, Patricia, Shamika Danzy, Constantinos S. Kyriakis, et al.. (2014). The M Segment of the 2009 Pandemic Influenza Virus Confers Increased Neuraminidase Activity, Filamentous Morphology, and Efficient Contact Transmissibility to A/Puerto Rico/8/1934-Based Reassortant Viruses. Journal of Virology. 88(7). 3802–3814. 84 indexed citations
11.
Cui, Haiyan, Patrick Brunhoeber, Martin J. Deymier, et al.. (2013). Low GILT Expression is Associated with Poor Patient Survival in Diffuse Large B-Cell Lymphoma. Frontiers in Immunology. 4. 425–425. 31 indexed citations
12.
Campos, Samuel K., et al.. (2012). Opposing Effects of Bacitracin on Human Papillomavirus Type 16 Infection: Enhancement of Binding and Entry and Inhibition of Endosomal Penetration. Journal of Virology. 86(8). 4169–4181. 34 indexed citations
13.
Corcoran, Kathleen, et al.. (2011). Ubiquitin-mediated Regulation of CD86 Protein Expression by the Ubiquitin Ligase Membrane-associated RING-CH-1 (MARCH1). Journal of Biological Chemistry. 286(43). 37168–37180. 64 indexed citations
14.
Deymier, P. A., et al.. (2010). Architecture-dependent signal conduction in model networks of endothelial cells. Physical Review E. 81(4). 41915–41915. 5 indexed citations
15.
Deymier, Pierre A., Keith Runge, Martin J. Deymier, James B. Hoying, & Jérôme O. Vasseur. (2010). Calcium wave propagation in chains of endothelial cells with nonlinear reaction dynamics: Green’s function approach. Physical Review E. 82(4). 41913–41913. 2 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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