Chris Parsons

1.6k total citations
40 papers, 1.3k citations indexed

About

Chris Parsons is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Chris Parsons has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Epidemiology and 17 papers in Oncology. Recurrent topics in Chris Parsons's work include Viral-associated cancers and disorders (17 papers), Cytomegalovirus and herpesvirus research (14 papers) and Bacterial biofilms and quorum sensing (8 papers). Chris Parsons is often cited by papers focused on Viral-associated cancers and disorders (17 papers), Cytomegalovirus and herpesvirus research (14 papers) and Bacterial biofilms and quorum sensing (8 papers). Chris Parsons collaborates with scholars based in United States, China and Denmark. Chris Parsons's co-authors include Zhiqiang Qin, Lu Dai, Bryan P. Toole, Patricia M. Kearney, Fangyou Yu, Liangxing Wang, Luis Del Valle, Jimena Trillo-Tinoco, Michael DeFee and Mark G. Slomiany and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Chris Parsons

39 papers receiving 1.3k citations

Peers

Chris Parsons
Abby L. Geis United States
Simo Huang United States
Sun Hee Ahn South Korea
Brandon Tan United States
Abby L. Geis United States
Chris Parsons
Citations per year, relative to Chris Parsons Chris Parsons (= 1×) peers Abby L. Geis

Countries citing papers authored by Chris Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Chris Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Parsons. A scholar is included among the top collaborators of Chris Parsons 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 Chris Parsons. Chris Parsons 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.
Dai, Lu, Mairi C. Noverr, Chris Parsons, Johnan A.R. Kaleeba, & Zhiqiang Qin. (2015). xCT, not just an amino-acid transporter: a multi-functional regulator of microbial infection and associated diseases. Frontiers in Microbiology. 6. 120–120. 17 indexed citations
2.
Sierra, Rosa A., Paul Thevenot, Patrick Raber, et al.. (2014). Rescue of Notch-1 Signaling in Antigen-Specific CD8+ T Cells Overcomes Tumor-Induced T-cell Suppression and Enhances Immunotherapy in Cancer. Cancer Immunology Research. 2(8). 800–811. 66 indexed citations
3.
Grass, G. Daniel, Lu Dai, Zhiqiang Qin, Chris Parsons, & Bryan P. Toole. (2014). CD147. Advances in cancer research. 123. 351–373. 68 indexed citations
5.
Qin, Zhiqiang, Lu Dai, Jimena Trillo-Tinoco, et al.. (2013). Targeting Sphingosine Kinase Induces Apoptosis and Tumor Regression for KSHV-Associated Primary Effusion Lymphoma. Molecular Cancer Therapeutics. 13(1). 154–164. 54 indexed citations
6.
Strong, Michael J., Tina O’Grady, Zhen Lin, et al.. (2013). Epstein-Barr Virus and Human Herpesvirus 6 Detection in a Non-Hodgkin's Diffuse Large B-Cell Lymphoma Cohort by Using RNA Sequencing. Journal of Virology. 87(23). 13059–13062. 32 indexed citations
7.
Hu, Longhua, Yuanyuan Xu, Zhiqiang Qin, et al.. (2013). Emergence of blaNDM-1 among Klebsiella pneumoniae ST15 and novel ST1031 clinical isolates in China. Diagnostic Microbiology and Infectious Disease. 75(4). 373–376. 41 indexed citations
8.
Yu, Fangyou, Ying Liu, Yuanyuan Xu, et al.. (2013). Expression of Panton-Valentine Leukocidin mRNA among Staphylococcus aureus Isolates Associates with Specific Clinical Presentations. PLoS ONE. 8(12). e83368–e83368. 11 indexed citations
9.
Li, Yuping, Fangyou Yu, Chengshui Chen, et al.. (2013). Pseudomembranous Aspergillus Tracheobronchitis: A Potential for High Mortality in Low-Risk Patients. The American Journal of the Medical Sciences. 346(5). 366–370. 9 indexed citations
10.
Hu, Linhui, Yongpeng Shang, Ning Cai, et al.. (2013). The prevalence of carbapenemase genes and plasmid-mediated quinolone resistance determinants in carbapenem-resistant Enterobacteriaceae from five teaching hospitals in central China. Epidemiology and Infection. 142(9). 1972–1977. 53 indexed citations
11.
Yu, Fangyou, Xiaoying Huang, Juan Xie, et al.. (2012). Virulence gene profiling and molecular characterization of hospital-acquired Staphylococcus aureus isolates associated with bloodstream infection. Diagnostic Microbiology and Infectious Disease. 74(4). 363–368. 66 indexed citations
12.
Yu, Xianhuan, Juan Xie, Ye Xu, et al.. (2012). Carriage of virulence factors and molecular characteristics ofStaphylococcus aureusisolates associated with bloodstream, and skin and soft tissue infections in children. Epidemiology and Infection. 141(10). 2158–2162. 11 indexed citations
13.
Dai, Lu, Liang Yang, Chris Parsons, et al.. (2012). Staphylococcus epidermidis recovered from indwelling catheters exhibit enhanced biofilm dispersal and “self-renewal” through downregulation of agr. BMC Microbiology. 12(1). 102–102. 30 indexed citations
14.
Qin, Zhiqiang, Lu Dai, Momka Bratoeva, et al.. (2011). Cooperative roles for emmprin and LYVE-1 in the regulation of chemoresistance for primary effusion lymphoma. Leukemia. 25(10). 1598–1609. 51 indexed citations
15.
Qin, Zhiqiang, Lu Dai, Bryan P. Toole, Erle S. Robertson, & Chris Parsons. (2011). Regulation of Nm23-H1 and Cell Invasiveness by Kaposi's Sarcoma-Associated Herpesvirus. Journal of Virology. 85(7). 3596–3606. 25 indexed citations
16.
Qin, Zhiqiang, Lu Dai, Mark G. Slomiany, Bryan P. Toole, & Chris Parsons. (2010). Direct Activation of Emmprin and Associated Pathogenesis by an Oncogenic Herpesvirus. Cancer Research. 70(10). 3884–3889. 43 indexed citations
17.
Qin, Zhiqiang, Roger J. Sullivan, Sarumathi Mohan, et al.. (2010). Upregulation of xCT by KSHV-Encoded microRNAs Facilitates KSHV Dissemination and Persistence in an Environment of Oxidative Stress. PLoS Pathogens. 6(1). e1000742–e1000742. 96 indexed citations
18.
Qin, Zhiqiang, Michael DeFee, Jennifer S. Isaacs, & Chris Parsons. (2010). Extracellular Hsp90 serves as a co-factor for MAPK activation and latent viral gene expression during de novo infection by KSHV. Virology. 403(1). 92–102. 29 indexed citations
19.
Parsons, Chris, et al.. (2010). Successful Treatment of a Locally Invasive Cryptococcoma Mimicking Primary Thyroid Cancer With Fluconazole. The American Journal of the Medical Sciences. 340(2). 173–175. 3 indexed citations
20.
Yu, Fangyou, Dan Yao, Jingye Pan, et al.. (2010). High prevalence of plasmid-mediated 16S rRNA methylase gene rmtB among Escherichia coliclinical isolates from a Chinese teaching hospital. BMC Infectious Diseases. 10(1). 184–184. 56 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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