Kevin McCormick

1.6k total citations
20 papers, 1.1k citations indexed

About

Kevin McCormick is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Kevin McCormick has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Kevin McCormick's work include HIV Research and Treatment (6 papers), Plant Molecular Biology Research (4 papers) and RNA modifications and cancer (3 papers). Kevin McCormick is often cited by papers focused on HIV Research and Treatment (6 papers), Plant Molecular Biology Research (4 papers) and RNA modifications and cancer (3 papers). Kevin McCormick collaborates with scholars based in United States, Australia and Mexico. Kevin McCormick's co-authors include Blake C. Meyers, Matthew R. Willmann, Frederic D. Bushman, Robert M. McCann, Scott Sherrill-Mix, Mingli Xu, Mark W. Frampton, Daniel F. Voytas, R. Scott Poethig and G N Abraham and has published in prestigious journals such as Journal of Clinical Investigation, PLANT PHYSIOLOGY and Annual Review of Plant Biology.

In The Last Decade

Kevin McCormick

20 papers receiving 1.1k 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 McCormick United States 15 429 268 239 237 188 20 1.1k
John C. Watson United States 23 849 2.0× 638 2.4× 92 0.4× 331 1.4× 23 0.1× 47 1.7k
Lee Jy Australia 12 138 0.3× 106 0.4× 89 0.4× 438 1.8× 113 0.6× 30 807
Leonid Yurkovetskiy United States 11 713 1.7× 26 0.1× 324 1.4× 151 0.6× 186 1.0× 13 1.3k
J.M.D. Galama Netherlands 15 203 0.5× 97 0.4× 217 0.9× 419 1.8× 37 0.2× 31 1.1k
Susana Asin United States 22 173 0.4× 22 0.1× 405 1.7× 258 1.1× 356 1.9× 35 1.0k
Ki‐Joon Song South Korea 22 195 0.5× 43 0.2× 194 0.8× 317 1.3× 38 0.2× 60 1.6k
Binhua Ling United States 19 183 0.4× 33 0.1× 397 1.7× 315 1.3× 750 4.0× 40 1.1k
M P Alpers Papua New Guinea 26 389 0.9× 65 0.2× 339 1.4× 179 0.8× 49 0.3× 51 1.8k
Maryam Ansari‐Lari Iran 21 262 0.6× 54 0.2× 53 0.2× 188 0.8× 20 0.1× 80 1.6k
Natalie M. Bowman United States 21 223 0.5× 53 0.2× 82 0.3× 599 2.5× 71 0.4× 68 1.6k

Countries citing papers authored by Kevin McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Kevin McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin McCormick

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin McCormick. A scholar is included among the top collaborators of Kevin McCormick 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 McCormick. Kevin McCormick 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.
Lindemuth, Emily, Francesco Elia Marino, Kevin McCormick, et al.. (2023). Adaptation of a transmitted/founder simian-human immunodeficiency virus for enhanced replication in rhesus macaques. PLoS Pathogens. 19(7). e1011059–e1011059. 1 indexed citations
2.
McCormick, Kevin, M. Betina Pampena, Emily Lindemuth, et al.. (2023). Preferential selection of viral escape mutants by CD8+ T cell ‘sieving’ of SIV reactivation from latency. PLoS Pathogens. 19(11). e1011755–e1011755. 3 indexed citations
3.
Simonetti, Francesco R., Hao Zhang, Kyle Rhodehouse, et al.. (2020). Antigen-driven clonal selection shapes the persistence of HIV-1–infected CD4+ T cells in vivo. Journal of Clinical Investigation. 131(3). 100 indexed citations
4.
Wu, Vincent H., Christopher L. Nobles, Leticia Kuri-Cervantes, et al.. (2020). Assessment of HIV-1 integration in tissues and subsets across infection stages. JCI Insight. 5(20). 15 indexed citations
5.
Bushman, Frederic D., Kevin McCormick, & Scott Sherrill-Mix. (2019). Virus structures constrain transmission modes. Nature Microbiology. 4(11). 1778–1780. 21 indexed citations
6.
Nakano, Mayumi, et al.. (2019). Next-Generation Sequence Databases: RNA and Genomic Informatics Resources for Plants. PLANT PHYSIOLOGY. 182(1). 136–146. 18 indexed citations
7.
Simonetti, Francesco R., Hui Zhang, Subul Beg, et al.. (2019). Contribution of antigenic exposure to the persistence of HIV-infected CD4 T cells in vivo. Journal of Virus Eradication. 5. 23–24. 1 indexed citations
8.
He, Jia, Mingli Xu, Matthew R. Willmann, et al.. (2018). Threshold-dependent repression of SPL gene expression by miR156/miR157 controls vegetative phase change in Arabidopsis thaliana. PLoS Genetics. 14(4). e1007337–e1007337. 153 indexed citations
9.
Salantes, D. Brenda, Yu Zheng, Subul Beg, et al.. (2018). HIV-1 latent reservoir size and diversity are stable following brief treatment interruption. Journal of Clinical Investigation. 128(7). 3102–3115. 73 indexed citations
10.
Leiby, Jacob S., Kevin McCormick, Scott Sherrill-Mix, et al.. (2018). Lack of detection of a human placenta microbiome in samples from preterm and term deliveries. Microbiome. 6(1). 196–196. 180 indexed citations
11.
Vahidnezhad, Hassan, Leila Youssefian, Amir Hossein Saeidian, et al.. (2016). Gene-Targeted Next Generation Sequencing Identifies PNPLA1 Mutations in Patients with a Phenotypic Spectrum of Autosomal Recessive Congenital Ichthyosis: The Impact of Consanguinity. Journal of Investigative Dermatology. 137(3). 678–685. 27 indexed citations
12.
Venkataramanan, Keerthi P., Shawn W. Jones, Kevin McCormick, et al.. (2013). The Clostridium small RNome that responds to stress: the paradigm and importance of toxic metabolite stress in C. acetobutylicum. BMC Genomics. 14(1). 849–849. 50 indexed citations
13.
Cornell, Ann, et al.. (2013). Hospital to Home: A Geriatric Educational Program on Effective Discharge Planning. Gerontology & Geriatrics Education. 35(4). 369–379. 7 indexed citations
14.
McCormick, Kevin, Matthew R. Willmann, & Blake C. Meyers. (2011). Experimental design, preprocessing, normalization and differential expression analysis of small RNA sequencing experiments. PubMed. 2(1). 2–2. 72 indexed citations
16.
Nobuta, Kan, Kevin McCormick, Mayumi Nakano, & Blake C. Meyers. (2009). Bioinformatics Analysis of Small RNAs in Plants Using Next Generation Sequencing Technologies. Methods in molecular biology. 592. 89–106. 32 indexed citations
17.
Simon, Stacey A., Jixian Zhai, Raja Sekhar Nandety, et al.. (2009). Short-Read Sequencing Technologies for Transcriptional Analyses. Annual Review of Plant Biology. 60(1). 305–333. 86 indexed citations
18.
Shields, Cleveland G., Kevin Fiscella, Peter Franks, et al.. (2005). Influence of Accompanied Encounters on Patient-Centeredness with Older Patients. The Journal of the American Board of Family Medicine. 18(5). 344–354. 32 indexed citations
19.
McCann, Robert M., Daniel Ari Mendelson, Kevin McCormick, et al.. (2003). Hospital to Home. Academic Medicine. 78(8). 793–797. 34 indexed citations
20.
Looney, R. John, Ann R. Falsey, Alfonso Torres, et al.. (1999). Role of Cytomegalovirus in the T Cell Changes Seen in Elderly Individuals. Clinical Immunology. 90(2). 213–219. 183 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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