John M. Powers

516 total citations
20 papers, 246 citations indexed

About

John M. Powers is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, John M. Powers has authored 20 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in John M. Powers's work include Virus-based gene therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Mosquito-borne diseases and control (5 papers). John M. Powers is often cited by papers focused on Virus-based gene therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Mosquito-borne diseases and control (5 papers). John M. Powers collaborates with scholars based in United States, Puerto Rico and Spain. John M. Powers's co-authors include Kei Adachi, Qing Xie, Hiroyuki Nakai, Michael S. Chapman, Joshua T. Baumgart, Lauriel F. Earley, Nancy Meyer, Nicole N. Haese, Daniel N. Streblow and Ralph S. Baric and has published in prestigious journals such as Nature Communications, Journal of Virology and Science Advances.

In The Last Decade

John M. Powers

19 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Powers United States 10 120 103 87 61 26 20 246
Adrian Coscia United States 6 125 1.0× 173 1.7× 15 0.2× 59 1.0× 38 1.5× 8 325
Chuantao Ye China 11 119 1.0× 122 1.2× 14 0.2× 71 1.2× 39 1.5× 23 298
Lester Suárez-Amarán Spain 6 158 1.3× 52 0.5× 132 1.5× 31 0.5× 85 3.3× 6 315
Rahsan Sariyer United States 6 132 1.1× 34 0.3× 28 0.3× 44 0.7× 24 0.9× 8 211
Lois M. A. Colgin United States 7 80 0.7× 63 0.6× 33 0.4× 18 0.3× 51 2.0× 23 214
Bastian Grewe Germany 11 188 1.6× 49 0.5× 33 0.4× 12 0.2× 25 1.0× 12 312
Anouk Van Nuffel Belgium 6 97 0.8× 109 1.1× 29 0.3× 34 0.6× 64 2.5× 8 324
Marian R. Fairgrieve United States 5 95 0.8× 80 0.8× 23 0.3× 86 1.4× 43 1.7× 5 231
Matthew W. Breed United States 8 52 0.4× 60 0.6× 46 0.5× 37 0.6× 68 2.6× 11 296
Rebecca Batorsky United States 10 79 0.7× 66 0.6× 64 0.7× 20 0.3× 23 0.9× 22 254

Countries citing papers authored by John M. Powers

Since Specialization
Citations

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

Fields of papers citing papers by John M. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Powers. 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 John M. Powers. The network helps show where John M. Powers may publish in the future.

Co-authorship network of co-authors of John M. Powers

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Powers. A scholar is included among the top collaborators of John M. Powers 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 John M. Powers. John M. Powers 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.
Andoh, Takeshi F., Craig N. Kreklywich, Michael Denton, et al.. (2024). Nonreciprocity in CHIKV and MAYV Vaccine-Elicited Protection. Vaccines. 12(9). 970–970. 3 indexed citations
2.
Mallory, Michael L., Jennifer E. Munt, Tara M. Narowski, et al.. (2024). COVID-19 point-of-care tests can identify low-antibody individuals: In-depth immunoanalysis of boosting benefits in a healthy cohort. Science Advances. 10(24). eadi1379–eadi1379.
3.
Hsieh, Ching‐Lin, Sarah R. Leist, Emily Happy Miller, et al.. (2024). Prefusion-stabilized SARS-CoV-2 S2-only antigen provides protection against SARS-CoV-2 challenge. Nature Communications. 15(1). 1553–1553. 14 indexed citations
4.
Powers, John M., Sarah R. Leist, Michael L. Mallory, et al.. (2024). Divergent pathogenetic outcomes in BALB/c mice following Omicron subvariant infection. Virus Research. 341. 199319–199319. 1 indexed citations
5.
Lee, Jimin, Cameron Stewart, Alexandra Schäfer, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. Nature Communications. 15(1). 5496–5496. 7 indexed citations
6.
Corti, Davide, Cameron Stewart, Young‐Jun Park, et al.. (2024). A broadly generalizable stabilization strategy for sarbecovirus fusion machinery vaccines. UNC Libraries. 1 indexed citations
7.
Leist, Sarah R., et al.. (2024). Animal models of Long Covid: A hit-and-run disease. Science Translational Medicine. 16(773). eado2104–eado2104. 9 indexed citations
8.
Tse, Longping V., Yixuan J. Hou, Rhianna E. Lee, et al.. (2023). A MERS-CoV antibody neutralizes a pre-emerging group 2c bat coronavirus. Science Translational Medicine. 15(715). eadg5567–eadg5567. 10 indexed citations
9.
Powers, John M., Zoë L. Lyski, Michael Denton, et al.. (2023). Infection with chikungunya virus confers heterotypic cross-neutralizing antibodies and memory B-cells against other arthritogenic alphaviruses predominantly through the B domain of the E2 glycoprotein. PLoS neglected tropical diseases. 17(3). e0011154–e0011154. 14 indexed citations
10.
Powers, John M., Nicole N. Haese, Michael Denton, et al.. (2021). Non-replicating adenovirus based Mayaro virus vaccine elicits protective immune responses and cross protects against other alphaviruses. PLoS neglected tropical diseases. 15(4). e0009308–e0009308. 18 indexed citations
11.
Haese, Nicole N., John M. Powers, & Daniel N. Streblow. (2020). Small Molecule Inhibitors Targeting Chikungunya Virus. Current topics in microbiology and immunology. 435. 107–139. 13 indexed citations
12.
Broeckel, Rebecca M., Nicole N. Haese, Craig N. Kreklywich, et al.. (2019). Vaccine-Induced Skewing of T Cell Responses Protects Against Chikungunya Virus Disease. Frontiers in Immunology. 10. 2563–2563. 16 indexed citations
14.
Earley, Lauriel F., John M. Powers, Kei Adachi, et al.. (2016). Adeno-associated Virus (AAV) Assembly-Activating Protein Is Not an Essential Requirement for Capsid Assembly of AAV Serotypes 4, 5, and 11. Journal of Virology. 91(3). 79 indexed citations
15.
Powers, John M. & Grant D. Trobridge. (2013). Effect of Fetal Bovine Serum on Foamy and Lentiviral Vector Production. Human Gene Therapy Methods. 24(5). 307–309. 1 indexed citations
16.
Powers, John M., et al.. (2012). Establishment of an Immunodeficient Alcohol Mouse Model to Study the Effects of Alcohol on Human Cells in Vivo. Journal of Studies on Alcohol and Drugs. 73(6). 933–937. 3 indexed citations
17.
Jackson, Melissa F., et al.. (2012). Genetic manipulation of myoblasts and a novel primary myosatellite cell culture system: comparing and optimizing approaches. FEBS Journal. 280(3). 827–839. 20 indexed citations
18.
Powers, John M.. (2011). Identification of Hematopoietic Stem Cell Engraftment Genes in Gene Therapy Studies. Journal of Stem Cell Research & Therapy. 2013(Suppl 3). 8 indexed citations
19.
Lin, Oscar, DL Choi-Lundberg, Ya-Yu Chiang, et al.. (1997). RETROVIRAL (RV) AND ADENOVIRAL (Ad) TRANSDUCTION OF GLIAL CELLS WITH GLIAL CELL LINE-DERIVED NEUROTROPHIC FACTOR (GDNF). Journal of Neuropathology & Experimental Neurology. 56(5). 588–588. 1 indexed citations
20.
Kascsak, R. J., et al.. (1993). The role of antibodies to PrP in the diagnosis of transmissible spongiform encephalopathies.. PubMed. 80. 141–51. 26 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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