Kevin C. Olivieri

526 total citations
12 papers, 423 citations indexed

About

Kevin C. Olivieri is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Kevin C. Olivieri has authored 12 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Virology, 6 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Kevin C. Olivieri's work include HIV Research and Treatment (9 papers), interferon and immune responses (4 papers) and Immune Cell Function and Interaction (3 papers). Kevin C. Olivieri is often cited by papers focused on HIV Research and Treatment (9 papers), interferon and immune responses (4 papers) and Immune Cell Function and Interaction (3 papers). Kevin C. Olivieri collaborates with scholars based in United States, France and Germany. Kevin C. Olivieri's co-authors include Dana Gabuzda, Adolfo Garcı́a-Sastre, Vikas Misra, Sumit K. Chanda, Sunnie M. Yoh, Stephen Soonthornvacharin, Paul D. De Jesus, Janna Seifried, David Germanaud and Monika Schneider and has published in prestigious journals such as Cell, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kevin C. Olivieri

12 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin C. Olivieri United States 10 234 227 160 111 76 12 423
Susanna Trapp Germany 8 220 0.9× 295 1.3× 113 0.7× 119 1.1× 75 1.0× 10 417
Malinda Schaefer United States 11 298 1.3× 373 1.6× 180 1.1× 170 1.5× 83 1.1× 18 583
François-Xavier Gobert France 8 230 1.0× 141 0.6× 101 0.6× 60 0.5× 60 0.8× 9 373
Nadia Belaïdouni France 10 190 0.8× 262 1.2× 261 1.6× 123 1.1× 105 1.4× 11 519
Darja Pollpeter United Kingdom 9 240 1.0× 212 0.9× 194 1.2× 135 1.2× 96 1.3× 10 461
Xuan-Nhi Nguyen France 13 271 1.2× 315 1.4× 216 1.4× 230 2.1× 154 2.0× 20 666
Veronica Iannucci Belgium 7 157 0.7× 215 0.9× 102 0.6× 109 1.0× 60 0.8× 9 337
Jolien Vermeíre Belgium 10 191 0.8× 263 1.2× 169 1.1× 139 1.3× 78 1.0× 16 448
Brady J. Summers United States 9 107 0.5× 161 0.7× 120 0.8× 112 1.0× 31 0.4× 9 313
Berta Bosch Spain 9 250 1.1× 193 0.9× 86 0.5× 67 0.6× 80 1.1× 9 368

Countries citing papers authored by Kevin C. Olivieri

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Olivieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Olivieri. 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 Kevin C. Olivieri. The network helps show where Kevin C. Olivieri may publish in the future.

Co-authorship network of co-authors of Kevin C. Olivieri

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

All Works

12 of 12 papers shown
1.
Ellsworth, Jeff L., Jacinthe Gingras, Hillard Rubin, et al.. (2019). Clade F AAVHSCs cross the blood brain barrier and transduce the central nervous system in addition to peripheral tissues following intravenous administration in nonhuman primates. PLoS ONE. 14(11). e0225582–e0225582. 21 indexed citations
2.
Langer, Simon, Stephen Soonthornvacharin, Paul D. De Jesus, et al.. (2018). Large-Scale Arrayed Analysis of Protein Degradation Reveals Cellular Targets for HIV-1 Vpu. Cell Reports. 22(9). 2493–2503. 17 indexed citations
3.
Kaufmann, Johanna K., Biao Liu, Ning Wu, et al.. (2017). Systematic analysis of T cell responses specific to the Epstein-Barr virus proteome using ATLAS™. The Journal of Immunology. 198(Supplement_1). 78.42–78.42. 1 indexed citations
4.
Yoh, Sunnie M., Monika Schneider, Janna Seifried, et al.. (2015). PQBP1 Is a Proximal Sensor of the cGAS-Dependent Innate Response to HIV-1. Cell. 161(6). 1293–1305. 158 indexed citations
5.
Manganaro, Lara, Ana M. Maestre, Kevin C. Olivieri, et al.. (2015). HIV Vpu Interferes with NF-κB Activity but Not with Interferon Regulatory Factor 3. Journal of Virology. 89(19). 9781–9790. 25 indexed citations
6.
Emig-Agius, Dorothea, Kevin C. Olivieri, Lars Pache, et al.. (2014). An Integrated Map of HIV-Human Protein Complexes that Facilitate Viral Infection. PLoS ONE. 9(5). e96687–e96687. 11 indexed citations
7.
Goujon, Caroline, Torsten Schaller, Rui Pedro Galão, et al.. (2013). Evidence for IFNα-induced, SAMHD1-independent inhibitors of early HIV-1 infection. Retrovirology. 10(1). 23–23. 50 indexed citations
8.
9.
Olivieri, Kevin C., et al.. (2012). Additional file 2: Table S2.. 4 indexed citations
10.
11.
Olivieri, Kevin C., et al.. (2010). Evidence for Adaptive Evolution at the Divergence Between Lymphoid and Brain HIV-1 nef Genes. AIDS Research and Human Retroviruses. 26(4). 495–500. 20 indexed citations
12.
Olivieri, Kevin C., Aprille L. Matthews, Mark David, et al.. (2006). The envelope gene is a cytopathic determinant of CCR5 tropic HIV-1. Virology. 358(1). 23–38. 22 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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