Nicole Pecora

1.7k total citations
36 papers, 1.2k citations indexed

About

Nicole Pecora is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Nicole Pecora has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 10 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Nicole Pecora's work include SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (9 papers) and Antibiotic Resistance in Bacteria (8 papers). Nicole Pecora is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (9 papers) and Antibiotic Resistance in Bacteria (8 papers). Nicole Pecora collaborates with scholars based in United States, Canada and Japan. Nicole Pecora's co-authors include Clifford V. Harding, W. Henry Boom, Piet A. J. de Boer, Hironori Niki, Yasuyuki Ogata, David H. Canaday, Michael G. Drage, Adam J. Gehring, Douglas T. Golenbock and Amy G. Hise and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Nicole Pecora

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Pecora United States 15 432 430 352 305 236 36 1.2k
Bart W. Bardoel Netherlands 19 244 0.6× 537 1.2× 419 1.2× 143 0.5× 107 0.5× 33 1.3k
Anne Jamet France 17 220 0.5× 405 0.9× 96 0.3× 167 0.5× 188 0.8× 36 943
Hideharu Yukitake Japan 22 234 0.5× 829 1.9× 265 0.8× 236 0.8× 234 1.0× 38 1.8k
Elisabetta Frigimelica Italy 18 223 0.5× 550 1.3× 288 0.8× 370 1.2× 217 0.9× 25 1.3k
Georgiana E. Purdy United States 20 853 2.0× 545 1.3× 212 0.6× 809 2.7× 234 1.0× 40 1.6k
K. Bodi United States 10 336 0.8× 875 2.0× 104 0.3× 140 0.5× 369 1.6× 11 1.4k
Thierry Vasselon France 16 337 0.8× 311 0.7× 637 1.8× 204 0.7× 245 1.0× 18 1.5k
Franziska Agerer Germany 9 299 0.7× 465 1.1× 148 0.4× 112 0.4× 125 0.5× 9 1.0k
Allison F. Gillaspy United States 21 607 1.4× 894 2.1× 164 0.5× 205 0.7× 275 1.2× 30 1.5k
Lucy E. DesJardin United States 19 821 1.9× 402 0.9× 295 0.8× 781 2.6× 91 0.4× 38 1.5k

Countries citing papers authored by Nicole Pecora

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Pecora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Pecora

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Pecora. A scholar is included among the top collaborators of Nicole Pecora 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 Nicole Pecora. Nicole Pecora 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.
Jhaveri, Tulip A., et al.. (2024). A decade of clinical microbiology: top 10 advances in 10 years: what every infection preventionist and antimicrobial steward should know. SHILAP Revista de lepidopterología. 4(1). e8–e8. 7 indexed citations
2.
Pecora, Nicole, et al.. (2024). Cycle threshold dynamics of non–severe acute respiratory coronavirus virus 2 (SARS-CoV-2) respiratory viruses. Infection Control and Hospital Epidemiology. 45(5). 630–634. 2 indexed citations
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Otto, W, Daryl M. Lamson, Gabriel González, et al.. (2021). Fatal Neonatal Sepsis Associated with Human Adenovirus Type 56 Infection: Genomic Analysis of Three Recent Cases Detected in the United States. Viruses. 13(6). 1105–1105. 9 indexed citations
6.
Johnson, William L., Michael B. Sohn, Samantha Taffner, et al.. (2021). Genomics of Staphylococcus aureus ocular isolates. PLoS ONE. 16(5). e0250975–e0250975. 16 indexed citations
7.
Angeloni, Stephen V., Andrew Cameron, Nicole Pecora, & Sherry Dunbar. (2021). A Rapid, Multiplex Dual Reporter IgG and IgM SARS-CoV-2 Neutralization Assay for a Multiplexed Bead-Based Flow Analysis System. Journal of Visualized Experiments. 2 indexed citations
8.
Cameron, R. Andrew, et al.. (2020). Clinical Pathogen Genomics. Clinics in Laboratory Medicine. 40(4). 447–458. 13 indexed citations
9.
Pecora, Nicole & Martin S. Zand. (2020). Measuring the Serologic Response to Severe Acute Respiratory Syndrome Coronavirus 2. Clinics in Laboratory Medicine. 40(4). 603–614. 9 indexed citations
10.
Malek, Adel, Samantha Taffner, Lynn Fine, et al.. (2019). Next-Generation-Sequencing-Based Hospital Outbreak Investigation Yields Insight into Klebsiella aerogenes Population Structure and Determinants of Carbapenem Resistance and Pathogenicity. Antimicrobial Agents and Chemotherapy. 63(6). 36 indexed citations
11.
Pettengill, Matthew A., Tara M. Babu, Paritosh Prasad, et al.. (2018). Probable Donor-Derived Human Adenovirus Type 34 Infection in 2 Kidney Transplant Recipients From the Same Donor. Open Forum Infectious Diseases. 6(3). ofy354–ofy354. 10 indexed citations
12.
Vodopivec, Ivana, Gabriel K. Griffin, Melanie Johncilla, et al.. (2015). A Cluster of CNS Infections Due toB. cereusin the Setting of Acute Myeloid Leukemia: Neuropathology in 5 Patients. Journal of Neuropathology & Experimental Neurology. 74(10). 1000–1011. 6 indexed citations
13.
Pecora, Nicole, Ning Li, Marc W. Allard, et al.. (2015). Genomically Informed Surveillance for Carbapenem-Resistant Enterobacteriaceae in a Health Care System. mBio. 6(4). e01030–e01030. 72 indexed citations
14.
Drage, Michael G., Nicole Pecora, Supriya Shukla, et al.. (2010). Mycobacterium tuberculosis lipoprotein LprG (Rv1411c) binds triacylated glycolipid agonists of Toll-like receptor 2. Nature Structural & Molecular Biology. 17(9). 1088–1095. 107 indexed citations
15.
Drage, Michael G., Nicole Pecora, Amy G. Hise, et al.. (2009). TLR2 and its co-receptors determine responses of macrophages and dendritic cells to lipoproteins of Mycobacterium tuberculosis. Cellular Immunology. 258(1). 29–37. 126 indexed citations
16.
Pecora, Nicole, Scott A. Fulton, Scott M. Reba, et al.. (2008). Mycobacterium bovis BCG decreases MHC-II expression in vivo on murine lung macrophages and dendritic cells during aerosol infection. Cellular Immunology. 254(2). 94–104. 52 indexed citations
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Pecora, Nicole, Adam J. Gehring, David H. Canaday, W. Henry Boom, & Clifford V. Harding. (2006). Mycobacterium tuberculosis LprA Is a Lipoprotein Agonist of TLR2 That Regulates Innate Immunity and APC Function. The Journal of Immunology. 177(1). 422–429. 176 indexed citations
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Kaplan, David R., et al.. (2001). CD5 expression by B lymphocytes and its regulation upon Epstein–Barr virus transformation. Proceedings of the National Academy of Sciences. 98(24). 13850–13853. 34 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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