David E. Ott

5.8k total citations
83 papers, 4.8k citations indexed

About

David E. Ott is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, David E. Ott has authored 83 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Virology, 34 papers in Molecular Biology and 32 papers in Infectious Diseases. Recurrent topics in David E. Ott's work include HIV Research and Treatment (58 papers), HIV/AIDS drug development and treatment (31 papers) and Immune Cell Function and Interaction (16 papers). David E. Ott is often cited by papers focused on HIV Research and Treatment (58 papers), HIV/AIDS drug development and treatment (31 papers) and Immune Cell Function and Interaction (16 papers). David E. Ott collaborates with scholars based in United States, Switzerland and Germany. David E. Ott's co-authors include Lori V. Coren, Elena Chertova, Raymond C. Sowder, Kunio Nagashima, Tracy D. Gagliardi, Ulrich S. Schubert, Alan Rein, Jeffrey D. Lifson, Donald G. Johnson and Charles M. Trubey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

David E. Ott

82 papers receiving 4.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David E. Ott 2.8k 2.3k 1.4k 1.3k 894 83 4.8k
Jacek Skowroński 3.2k 1.1× 2.2k 0.9× 1.4k 1.0× 2.0k 1.5× 1.1k 1.2× 65 5.3k
Serge Bénichou 3.0k 1.1× 2.3k 1.0× 1.6k 1.2× 1.6k 1.2× 902 1.0× 98 5.2k
Akira Ono 3.4k 1.2× 2.6k 1.2× 1.5k 1.1× 1.4k 1.0× 1.1k 1.2× 124 5.5k
Sundararajan Venkatesan 2.3k 0.8× 1.9k 0.8× 1.3k 1.0× 1.1k 0.8× 1.3k 1.5× 69 4.8k
Richard Bénarous 3.3k 1.2× 3.7k 1.6× 1.8k 1.3× 1.5k 1.1× 1.2k 1.3× 88 6.8k
Annegret Pelchen–Matthews 1.9k 0.7× 1.4k 0.6× 738 0.5× 1.7k 1.3× 923 1.0× 52 4.2k
David J. Looney 2.2k 0.8× 1.9k 0.8× 1.5k 1.1× 647 0.5× 723 0.8× 64 4.4k
Stephan Bour 2.1k 0.7× 1.4k 0.6× 1.0k 0.8× 951 0.7× 883 1.0× 39 3.5k
Eric M. Poeschla 3.4k 1.2× 3.6k 1.6× 2.3k 1.7× 735 0.5× 1.2k 1.3× 114 6.3k
Sébastien Nisole 1.6k 0.6× 1.8k 0.8× 1.1k 0.8× 2.1k 1.6× 972 1.1× 75 4.3k

Countries citing papers authored by David E. Ott

Since Specialization
Citations

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

Fields of papers citing papers by David E. Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Ott

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Ott. A scholar is included among the top collaborators of David E. Ott 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 E. Ott. David E. Ott 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.
Coren, Lori V., Kunio Nagashima, & David E. Ott. (2019). A PLPPV sequence in the p8 region of Gag provides late domain function for mouse mammary tumor virus. Virology. 535. 272–278. 5 indexed citations
2.
Fennessey, Christine M., Mykola Pinkevych, Taina T. Immonen, et al.. (2017). Genetically-barcoded SIV facilitates enumeration of rebound variants and estimation of reactivation rates in nonhuman primates following interruption of suppressive antiretroviral therapy. PLoS Pathogens. 13(5). e1006359–e1006359. 66 indexed citations
3.
Ayala, Victor I., Matthew T. Trivett, Lori V. Coren, et al.. (2016). A novel SIV gag-specific CD4+T-cell clone suppresses SIVmac239 replication in CD4+T cells revealing the interplay between antiviral effector cells and their infected targets. Virology. 493. 100–112. 6 indexed citations
4.
Barsov, Eugene V., et al.. (2011). Transduction of SIV-Specific TCR Genes into Rhesus Macaque CD8+ T Cells Conveys the Ability to Suppress SIV Replication. PLoS ONE. 6(8). e23703–e23703. 15 indexed citations
5.
Minang, Jacob T., Matthew T. Trivett, Lori V. Coren, et al.. (2009). Nef-mediated MHC class I down-regulation unmasks clonal differences in virus suppression by SIV-specific CD8+ T cells independent of IFN-γ and CD107a responses. Virology. 391(1). 130–139. 17 indexed citations
6.
Das, Supratik, Sheeba Mathew, Xuhong Wu, et al.. (2009). Recruitment of a SAP18-HDAC1 Complex into HIV-1 Virions and Its Requirement for Viral Replication. PLoS Pathogens. 5(6). e1000463–e1000463. 51 indexed citations
7.
Sigurdson, Christina J., K. Peter R. Nilsson, Simone Hornemann, et al.. (2008). De novo generation of a transmissible spongiform encephalopathy by mouse transgenesis. Proceedings of the National Academy of Sciences. 106(1). 304–309. 158 indexed citations
8.
Genoud, Nicolas, David E. Ott, Nathalie Braun, et al.. (2008). Antiprion Prophylaxis by Gene Transfer of a Soluble Prion Antagonist. American Journal Of Pathology. 172(5). 1287–1296. 13 indexed citations
9.
Minang, Jacob T., Matthew T. Trivett, Lori V. Coren, et al.. (2008). The Mamu B⁎17-restricted SIV Nef IW9 to TW9 mutation abrogates correct epitope processing and presentation without loss of replicative fitness. Virology. 375(1). 307–314. 11 indexed citations
10.
11.
Andersen, Hanné, Eugene V. Barsov, Matthew T. Trivett, et al.. (2007). Transduction with Human Telomerase Reverse Transcriptase Immortalizes A Rhesus Macaque CD8 + T Cell Clone with Maintenance of Surface Marker Phenotype And Function. AIDS Research and Human Retroviruses. 23(3). 456–465. 18 indexed citations
12.
Barsov, Eugene V., Hanné Andersen, Vicky Coalter, et al.. (2005). Capture of antigen-specific T lymphocytes from human blood by selective immortalization to establish long-term T-cell lines maintaining primary cell characteristics☆. Immunology Letters. 105(1). 26–37. 13 indexed citations
13.
14.
Gasparini, F., Philipp Floersheim, Peter J. Flor, et al.. (2001). Discovery and characterization of non-competitive antagonists of group I metabotropic glutamate receptors. Il Farmaco. 56(1-2). 95–99. 21 indexed citations
15.
Ott, David E., Lori V. Coren, Donald G. Johnson, et al.. (2000). Actin-Binding Cellular Proteins inside Human Immunodeficiency Virus Type 1. Virology. 266(1). 42–51. 108 indexed citations
16.
Ott, David E., Lori V. Coren, Elena Chertova, Tracy D. Gagliardi, & Ulrich S. Schubert. (2000). Ubiquitination of HIV-1 and MuLV Gag. Virology. 278(1). 111–121. 121 indexed citations
17.
18.
Davis, David A., Fonda M. Newcomb, David W. Starke, et al.. (1997). Thioltransferase (Glutaredoxin) Is Detected Within HIV-1 and Can Regulate the Activity of Glutathionylated HIV-1 Protease in Vitro. Journal of Biological Chemistry. 272(41). 25935–25940. 145 indexed citations
19.
Ott, David E., J R Keller, & Alan Rein. (1994). 10A1 MuLV Induces a Murine Leukemia That Expresses Hematopoietic Stem Cell Markers by a Mechanism That Includes fli-1 Integration. Virology. 205(2). 563–568. 23 indexed citations
20.
Ott, David E.. (1991). Laparoscopic Hypothermia. Journal of Laparoendoscopic Surgery. 1(3). 127–131. 60 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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