Christopher B. Whitehurst

870 total citations
22 papers, 676 citations indexed

About

Christopher B. Whitehurst is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Christopher B. Whitehurst has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Christopher B. Whitehurst's work include Viral-associated cancers and disorders (15 papers), Cytomegalovirus and herpesvirus research (9 papers) and Ubiquitin and proteasome pathways (5 papers). Christopher B. Whitehurst is often cited by papers focused on Viral-associated cancers and disorders (15 papers), Cytomegalovirus and herpesvirus research (9 papers) and Ubiquitin and proteasome pathways (5 papers). Christopher B. Whitehurst collaborates with scholars based in United States, Japan and Russia. Christopher B. Whitehurst's co-authors include Joseph S. Pagano, Gretchen L. Bentz, Julia Shackelford, Graciela Andreï, Cyrus Vaziri, Edward Gershburg, Ravindra Kumar, Cary A. Moody, Dirk P. Dittmer and Shunbin Ning and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Christopher B. Whitehurst

21 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher B. Whitehurst United States 16 391 282 264 153 116 22 676
Prasanna M. Bhende United States 9 394 1.0× 235 0.8× 199 0.8× 126 0.8× 134 1.2× 10 631
Alexander M. Price United States 16 393 1.0× 352 1.2× 201 0.8× 187 1.2× 159 1.4× 21 772
Laurie T. Krug United States 19 553 1.4× 144 0.5× 560 2.1× 166 1.1× 71 0.6× 51 918
Dhananjay M. Nawandar United States 11 424 1.1× 143 0.5× 186 0.7× 156 1.0× 108 0.9× 13 595
Robert Touitou United Kingdom 10 528 1.4× 302 1.1× 145 0.5× 158 1.0× 212 1.8× 10 742
Geoff Connolly Australia 11 358 0.9× 120 0.4× 161 0.6× 240 1.6× 117 1.0× 12 533
Sibille Humme Germany 7 397 1.0× 263 0.9× 186 0.7× 491 3.2× 165 1.4× 7 959
Feroz Sarkari Canada 9 518 1.3× 659 2.3× 228 0.9× 120 0.8× 99 0.9× 10 930
Simon Hör Germany 9 306 0.8× 169 0.6× 132 0.5× 546 3.6× 67 0.6× 10 846
Mathias Thurau Germany 14 306 0.8× 135 0.5× 306 1.2× 156 1.0× 27 0.2× 16 535

Countries citing papers authored by Christopher B. Whitehurst

Since Specialization
Citations

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

Fields of papers citing papers by Christopher B. Whitehurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher B. Whitehurst. 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 Christopher B. Whitehurst. The network helps show where Christopher B. Whitehurst may publish in the future.

Co-authorship network of co-authors of Christopher B. Whitehurst

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher B. Whitehurst. A scholar is included among the top collaborators of Christopher B. Whitehurst 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 Christopher B. Whitehurst. Christopher B. Whitehurst 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.
2.
Whitehurst, Christopher B., et al.. (2024). Ubiquitin-Mediated Effects on Oncogenesis during EBV and KSHV Infection. Viruses. 16(10). 1523–1523. 1 indexed citations
3.
Whitehurst, Christopher B., et al.. (2023). An Analysis of the Biotin–(Strept)avidin System in Immunoassays: Interference and Mitigation Strategies. Current Issues in Molecular Biology. 45(11). 8733–8754. 27 indexed citations
4.
Whitehurst, Christopher B., et al.. (2023). Incidence of Epstein-Barr virus reactivation is elevated in COVID-19 patients. Virus Research. 334. 199157–199157. 31 indexed citations
5.
Whitehurst, Christopher B., et al.. (2022). HIV Co-infection Augments EBV-Induced Tumorigenesis in vivo. SHILAP Revista de lepidopterología. 2. 9 indexed citations
6.
Hopcraft, Sharon E., Julia Shackelford, Blossom Damania, et al.. (2019). Small molecule screening identifies inhibitors of the Epstein-Barr virus deubiquitinating enzyme, BPLF1. Antiviral Research. 173. 104649–104649. 12 indexed citations
7.
8.
Kobayashi, Eiji, Duhyeong Hwang, Christopher B. Whitehurst, et al.. (2019). Inhibition of UCH-L1 Deubiquitinating Activity with Two Forms of LDN-57444 Has Anti-Invasive Effects in Metastatic Carcinoma Cells. International Journal of Molecular Sciences. 20(15). 3733–3733. 21 indexed citations
9.
Pagano, Joseph S., Christopher B. Whitehurst, & Graciela Andreï. (2018). Antiviral Drugs for EBV. Cancers. 10(6). 197–197. 68 indexed citations
10.
Whitehurst, Christopher B., Guangming Li, Stephanie A. Montgomery, et al.. (2015). Knockout of Epstein-Barr Virus BPLF1 Retards B-Cell Transformation and Lymphoma Formation in Humanized Mice. mBio. 6(5). e01574–15. 38 indexed citations
11.
Bentz, Gretchen L., et al.. (2015). LMP1-Induced Sumoylation Influences the Maintenance of Epstein-Barr Virus Latency through KAP1. Journal of Virology. 89(15). 7465–7477. 48 indexed citations
12.
Kumar, Ravindra, Christopher B. Whitehurst, & Joseph S. Pagano. (2014). The Rad6/18 Ubiquitin Complex Interacts with the Epstein-Barr Virus Deubiquitinating Enzyme, BPLF1, and Contributes to Virus Infectivity. Journal of Virology. 88(11). 6411–6422. 33 indexed citations
13.
Whitehurst, Christopher B., et al.. (2013). Maribavir Inhibits Epstein-Barr Virus Transcription through the EBV Protein Kinase. Journal of Virology. 87(9). 5311–5315. 27 indexed citations
14.
Whitehurst, Christopher B., Cyrus Vaziri, Julia Shackelford, & Joseph S. Pagano. (2012). Epstein-Barr Virus BPLF1 Deubiquitinates PCNA and Attenuates Polymerase η Recruitment to DNA Damage Sites. Journal of Virology. 86(15). 8097–8106. 74 indexed citations
15.
Bentz, Gretchen L., Christopher B. Whitehurst, & Joseph S. Pagano. (2011). Epstein-Barr Virus Latent Membrane Protein 1 (LMP1) C-Terminal-Activating Region 3 Contributes to LMP1-Mediated Cellular Migration via Its Interaction with Ubc9. Journal of Virology. 85(19). 10144–10153. 65 indexed citations
16.
Whitehurst, Christopher B., Shunbin Ning, Gretchen L. Bentz, et al.. (2009). The Epstein-Barr Virus (EBV) Deubiquitinating Enzyme BPLF1 Reduces EBV Ribonucleotide Reductase Activity. Journal of Virology. 83(9). 4345–4353. 61 indexed citations
17.
Wei, Yue, et al.. (2009). Positive Reciprocal Regulation of Ubiquitin C-Terminal Hydrolase L1 and β-Catenin/TCF Signaling. PLoS ONE. 4(6). e5955–e5955. 46 indexed citations
18.
Roy, Debasmita, et al.. (2009). Maribavir Inhibits Epstein-Barr Virus Transcription in Addition to Viral DNA Replication. Journal of Virology. 83(23). 12108–12117. 33 indexed citations
19.
Whitehurst, Christopher B., et al.. (2007). Location and Role of Free Cysteinyl Residues in the Sindbis Virus E1 and E2 Glycoproteins. Journal of Virology. 81(12). 6231–6240. 17 indexed citations
20.

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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