Thomas Fricke

1.7k total citations
23 papers, 1.3k citations indexed

About

Thomas Fricke is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Thomas Fricke has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Virology, 11 papers in Infectious Diseases and 11 papers in Molecular Biology. Recurrent topics in Thomas Fricke's work include HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (10 papers) and Nuclear Structure and Function (7 papers). Thomas Fricke is often cited by papers focused on HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (10 papers) and Nuclear Structure and Function (7 papers). Thomas Fricke collaborates with scholars based in United States, France and Italy. Thomas Fricke's co-authors include Felipe Diaz‐Griffero, Francesca Di Nunzio, Alberto Brandariz-Núñez, Edward M. Campbell, Adarsh Dharan, Pierre Charneau, José Carlos Valle‐Casuso, Marco Severgnini, Patricio Perez and Yang Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Thomas Fricke

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Fricke United States 14 1.0k 663 627 255 240 23 1.3k
Hendrik Huthoff Netherlands 19 918 0.9× 439 0.7× 882 1.4× 248 1.0× 251 1.0× 23 1.4k
Jun-ichi Sakuragi Japan 20 966 0.9× 526 0.8× 464 0.7× 345 1.4× 180 0.8× 41 1.2k
Matteo Negroni France 24 707 0.7× 529 0.8× 637 1.0× 232 0.9× 122 0.5× 37 1.2k
Krista A. Delviks‐Frankenberry United States 19 748 0.7× 582 0.9× 471 0.8× 228 0.9× 236 1.0× 31 1.2k
Olga A. Nikolaitchik United States 22 865 0.8× 422 0.6× 807 1.3× 210 0.8× 124 0.5× 41 1.3k
Christine Leemann Switzerland 15 919 0.9× 555 0.8× 290 0.5× 152 0.6× 416 1.7× 24 1.2k
William J. Bosche United States 14 907 0.9× 567 0.9× 610 1.0× 217 0.9× 160 0.7× 16 1.2k
Steve C. Pettit United States 18 962 0.9× 830 1.3× 447 0.7× 186 0.7× 85 0.4× 24 1.3k
Sandrine Opi France 18 857 0.8× 469 0.7× 505 0.8× 339 1.3× 299 1.2× 28 1.1k
Tracy D. Gagliardi United States 14 641 0.6× 379 0.6× 386 0.6× 180 0.7× 115 0.5× 15 808

Countries citing papers authored by Thomas Fricke

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Fricke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Fricke

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Fricke. A scholar is included among the top collaborators of Thomas Fricke 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 Thomas Fricke. Thomas Fricke 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.
Fricke, Thomas, et al.. (2022). Antibodies Targeting KSHV gH/gL Reveal Distinct Neutralization Mechanisms. Viruses. 14(3). 541–541. 13 indexed citations
2.
Fricke, Thomas, et al.. (2021). Plxdc family members are novel receptors for the rhesus monkey rhadinovirus (RRV). PLoS Pathogens. 17(3). e1008979–e1008979. 4 indexed citations
3.
4.
Buffone, Cindy, Alicia Martínez‐López, Thomas Fricke, et al.. (2018). Nup153 Unlocks the Nuclear Pore Complex for HIV-1 Nuclear Translocation in Nondividing Cells. Journal of Virology. 92(19). 81 indexed citations
5.
Opp, Silvana, Alicia Martínez‐López, Thomas Fricke, et al.. (2018). Nup153 Unlocks the Nuclear Pore Complex for HIV-1 Nuclear Import in Non-Dividing Cells. SSRN Electronic Journal. 1 indexed citations
6.
Demogines, Ann, Thomas Fricke, Mélodie B. Plourde, et al.. (2016). A putative SUMO interacting motif in the B30.2/SPRY domain of rhesus macaque TRIM5α important for NF-κB/AP-1 signaling and HIV-1 restriction. Heliyon. 2(1). e00056–e00056. 9 indexed citations
7.
Opp, Silvana, Thomas Fricke, Caitlin Shepard, et al.. (2016). The small‐molecule 3G11 inhibits HIV‐1 reverse transcription. Chemical Biology & Drug Design. 89(4). 608–618. 5 indexed citations
8.
Fricke, Thomas & Felipe Diaz‐Griffero. (2015). HIV-1 Capsid Stabilization Assay. Methods in molecular biology. 1354. 39–47. 5 indexed citations
9.
Lelek, Mickaël, Nicoletta Casartelli, Danilo Pellin, et al.. (2015). Chromatin organization at the nuclear pore favours HIV replication. Nature Communications. 6(1). 6483–6483. 103 indexed citations
10.
Fricke, Thomas, Cindy Buffone, Silvana Opp, José Carlos Valle‐Casuso, & Felipe Diaz‐Griffero. (2014). BI-2 destabilizes HIV-1 cores during infection and Prevents Binding of CPSF6 to the HIV-1 Capsid. Retrovirology. 11(1). 120–120. 47 indexed citations
11.
Fricke, Thomas, Tommy E. White, Bianca Schulte, et al.. (2014). MxB binds to the HIV-1 core and prevents the uncoating process of HIV-1. Retrovirology. 11(1). 68–68. 10 indexed citations
12.
Fricke, Thomas, Tommy E. White, Bianca Schulte, et al.. (2014). MxB binds to the HIV-1 core and prevents the uncoating process of HIV-1. Retrovirology. 11(1). 68–68. 134 indexed citations
13.
Fricke, Thomas, Cindy Buffone, Silvana Opp, José Carlos Valle‐Casuso, & Felipe Diaz‐Griffero. (2014). BI-2 destabilizes HIV-1 cores during infection and Prevents Binding of CPSF6 to the HIV-1 Capsid. Retrovirology. 11(1). 120–120. 2 indexed citations
14.
Lukic, Zana, Adarsh Dharan, Thomas Fricke, Felipe Diaz‐Griffero, & Edward M. Campbell. (2014). HIV-1 Uncoating Is Facilitated by Dynein and Kinesin 1. Journal of Virology. 88(23). 13613–13625. 111 indexed citations
15.
Fricke, Thomas, Alberto Brandariz-Núñez, Xiaozhao Wang, Amos B. Smith, & Felipe Diaz‐Griffero. (2013). Human Cytosolic Extracts Stabilize the HIV-1 Core. Journal of Virology. 87(19). 10587–10597. 50 indexed citations
16.
Nunzio, Francesca Di, Thomas Fricke, Annarita Miccio, et al.. (2013). Nup153 and Nup98 bind the HIV-1 core and contribute to the early steps of HIV-1 replication. Virology. 440(1). 8–18. 129 indexed citations
17.
Yang, Yang, et al.. (2013). Binding of the rhesus TRIM5α PRYSPRY domain to capsid is necessary but not sufficient for HIV-1 restriction. Virology. 448. 217–228. 26 indexed citations
18.
Fricke, Thomas, José Carlos Valle‐Casuso, Tommy E. White, et al.. (2013). The ability of TNPO3-depleted cells to inhibit HIV-1 infection requires CPSF6. Retrovirology. 10(1). 46–46. 80 indexed citations
19.
Nunzio, Francesca Di, Anne Danckaert, Thomas Fricke, et al.. (2013). Correction: Human Nucleoporins Promote HIV-1 Docking at the Nuclear Pore, Nuclear Import and Integration. PLoS ONE. 8(12). 1 indexed citations
20.
Nunzio, Francesca Di, Anne Danckaert, Thomas Fricke, et al.. (2012). Human Nucleoporins Promote HIV-1 Docking at the Nuclear Pore, Nuclear Import and Integration. PLoS ONE. 7(9). e46037–e46037. 147 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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