David A. Driver

3.5k total citations · 1 hit paper
16 papers, 2.8k citations indexed

About

David A. Driver is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, David A. Driver has authored 16 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in David A. Driver's work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Immunotherapy and Immune Responses (4 papers). David A. Driver is often cited by papers focused on Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Immunotherapy and Immune Responses (4 papers). David A. Driver collaborates with scholars based in United States, United Kingdom and Sweden. David A. Driver's co-authors include Bengt Nordén, Seog K. Kim, Leif Christensen, Rolf H. Berg, Susan M. Freier, Carsten Behrens, Ole Buchardt, Michael D. Miller, Peter E. Nielsen and Thomas W. Dubensky and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

David A. Driver

16 papers receiving 2.7k citations

Hit Papers

PNA hybridizes to complementary oligonucleotides obeying ... 1993 2026 2004 2015 1993 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Driver United States 15 2.1k 446 399 359 307 16 2.8k
Irina Gutsche France 32 1.6k 0.8× 436 1.0× 338 0.8× 413 1.2× 483 1.6× 74 2.9k
Alicia E. Smith Switzerland 9 1.2k 0.6× 235 0.5× 208 0.5× 267 0.7× 209 0.7× 10 1.9k
Christopher M. Wiethoff United States 26 1.7k 0.8× 427 1.0× 403 1.0× 967 2.7× 429 1.4× 37 2.6k
J Kartenbeck Germany 12 1.0k 0.5× 357 0.8× 233 0.6× 367 1.0× 445 1.4× 12 2.0k
Nelly Panté Canada 40 5.1k 2.5× 420 0.9× 324 0.8× 703 2.0× 673 2.2× 84 6.3k
Katja Conrath Belgium 25 3.1k 1.5× 279 0.6× 1.3k 3.2× 270 0.8× 297 1.0× 28 4.7k
Jeffrey S. Kieft United States 40 4.1k 2.0× 671 1.5× 319 0.8× 272 0.8× 338 1.1× 96 5.5k
Encarnación Martı́nez-Salas Spain 44 3.2k 1.5× 699 1.6× 222 0.6× 621 1.7× 325 1.1× 119 5.0k
Dinakar M. Salunke India 25 1.3k 0.6× 223 0.5× 534 1.3× 232 0.6× 196 0.6× 103 2.5k
Nihal Altan‐Bonnet United States 27 1.8k 0.9× 1.1k 2.5× 457 1.1× 332 0.9× 705 2.3× 43 3.7k

Countries citing papers authored by David A. Driver

Since Specialization
Citations

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

Fields of papers citing papers by David A. Driver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Driver. 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 David A. Driver. The network helps show where David A. Driver may publish in the future.

Co-authorship network of co-authors of David A. Driver

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

All Works

16 of 16 papers shown
1.
Driver, David A., et al.. (2017). [O2–14–05]: PRECLINICAL CHARACTERIZATION OF AN ANTIBODY [LY3303560] TARGETING AGGREGATED TAU. Alzheimer s & Dementia. 13(7S_Part_11). 38 indexed citations
2.
Hayashi, Mansuo L., Jirong Lu, Su Wu, et al.. (2017). [O2–14–04]: AGGREGATE‐SELECTIVE ANTI‐TAU ANTIBODY MC‐1 DEMONSTRATED ROBUST IN VITRO AND IN VIVO ACTIVITY TO NEUTRALIZE TRANSMISSIBLE TAU AND REDUCE TAU PATHOLOGY. Alzheimer s & Dementia. 13(7S_Part_11). 3 indexed citations
3.
Datta‐Mannan, Amita, Chi-Kin Chow, Craig D. Dickinson, et al.. (2012). FcRn Affinity-Pharmacokinetic Relationship of Five Human IgG4 Antibodies Engineered for Improved In Vitro FcRn Binding Properties in Cynomolgus Monkeys. Drug Metabolism and Disposition. 40(8). 1545–1555. 47 indexed citations
4.
Micanovic, Radmila, James D. Dunbar, David A. Driver, et al.. (2008). Different roles of N‐ and C‐ termini in the functional activity of FGF21. Journal of Cellular Physiology. 219(2). 227–234. 108 indexed citations
5.
Otten, Gillis R., Mary Schaefer, Barbara Doe, et al.. (2005). Enhanced Potency of Plasmid DNA Microparticle Human Immunodeficiency Virus Vaccines in Rhesus Macaques by Using a Priming-Boosting Regimen with Recombinant Proteins. Journal of Virology. 79(13). 8189–8200. 51 indexed citations
6.
Sheridan, Philip L., Mordechai Bodner, Nicholas J. DePolo, et al.. (2000). Generation of Retroviral Packaging and Producer Cell Lines for Large-Scale Vector Production and Clinical Application: Improved Safety and High Titer. Molecular Therapy. 2(3). 262–275. 49 indexed citations
7.
Polo, John M., Jason P. Gardner, Barbara Belli, et al.. (2000). Alphavirus DNA and particle replicons for vaccines and gene therapy.. PubMed. 104. 181–5. 37 indexed citations
8.
Perri, Silvia, David A. Driver, Jason P. Gardner, et al.. (2000). Replicon Vectors Derived from Sindbis Virus and Semliki Forest Virus That Establish Persistent Replication in Host Cells. Journal of Virology. 74(20). 9802–9807. 100 indexed citations
9.
Gardner, Jason P., Ilya Frolov, Silvia Perri, et al.. (2000). Infection of Human Dendritic Cells by a Sindbis Virus Replicon Vector Is Determined by a Single Amino Acid Substitution in the E2 Glycoprotein. Journal of Virology. 74(24). 11849–11857. 98 indexed citations
10.
Leitner, Wolfgang W., et al.. (2000). Enhancement of tumor-specific immune response with plasmid DNA replicon vectors.. PubMed. 60(1). 51–5. 133 indexed citations
11.
Polo, John M., Barbara Belli, David A. Driver, et al.. (1999). Stable alphavirus packaging cell lines for Sindbis virus- and Semliki Forest virus-derived vectors. Proceedings of the National Academy of Sciences. 96(8). 4598–4603. 109 indexed citations
12.
Hariharan, Mangala J., David A. Driver, Kay Townsend, et al.. (1998). DNA Immunization against Herpes Simplex Virus: Enhanced Efficacy Using a Sindbis Virus-Based Vector. Journal of Virology. 72(2). 950–958. 145 indexed citations
13.
Townsend, Kay, Matti Sällberg, Theresa A. Banks, et al.. (1997). Characterization of CD8+ cytotoxic T-lymphocyte responses after genetic immunization with retrovirus vectors expressing different forms of the hepatitis B virus core and e antigens. Journal of Virology. 71(5). 3365–3374. 46 indexed citations
14.
Dubensky, Thomas W., David A. Driver, John M. Polo, et al.. (1996). Sindbis virus DNA-based expression vectors: utility for in vitro and in vivo gene transfer. Journal of Virology. 70(1). 508–519. 154 indexed citations
15.
Driver, David A., John M. Polo, Barbara Belli, et al.. (1995). Layered Amplification of Gene Expression with a DNA Gene Delivery System. Annals of the New York Academy of Sciences. 772(1). 261–264. 19 indexed citations
16.
Miller, Michael D., Ole Buchardt, Leif Christensen, et al.. (1993). PNA hybridizes to complementary oligonucleotides obeying the Watson–Crick hydrogen-bonding rules. Nature. 365(6446). 566–568. 1702 indexed citations breakdown →

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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