Lucy A. Perrone

3.1k total citations · 1 hit paper
33 papers, 2.3k citations indexed

About

Lucy A. Perrone is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Lucy A. Perrone has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Infectious Diseases and 10 papers in Immunology. Recurrent topics in Lucy A. Perrone's work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (8 papers) and Immune Response and Inflammation (5 papers). Lucy A. Perrone is often cited by papers focused on Influenza Virus Research Studies (12 papers), Respiratory viral infections research (8 papers) and Immune Response and Inflammation (5 papers). Lucy A. Perrone collaborates with scholars based in United States, Canada and Ivory Coast. Lucy A. Perrone's co-authors include Terrence M. Tumpey, Jacqueline M. Katz, Adolfo Garcı́a-Sastre, Peter Palese, Dmitriy Zamarin, Gina M. Conenello, C. J. Peters, Chien‐Te K. Tseng, Kristy J. Szretter and Jessica A. Belser and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Lucy A. Perrone

31 papers receiving 2.3k citations

Hit Papers

H5N1 and 1918 Pandemic Influenza Virus Infection Results ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucy A. Perrone United States 15 1.5k 1.1k 745 338 326 33 2.3k
Diana L. Noah United States 21 1.5k 1.0× 964 0.9× 588 0.8× 307 0.9× 436 1.3× 33 2.1k
Satoshi Fukuyama Japan 27 1.1k 0.7× 1.7k 1.6× 547 0.7× 197 0.6× 656 2.0× 54 3.0k
Wenjun Song China 23 1.0k 0.7× 379 0.4× 706 0.9× 332 1.0× 550 1.7× 52 1.9k
Emi Takashita Japan 29 2.4k 1.6× 467 0.4× 777 1.0× 355 1.1× 562 1.7× 76 2.7k
Claudia Pappas United States 27 2.7k 1.8× 855 0.8× 1.0k 1.4× 1.1k 3.1× 436 1.3× 56 3.1k
Yuko Sakai‐Tagawa Japan 22 1.7k 1.1× 351 0.3× 820 1.1× 425 1.3× 445 1.4× 46 2.2k
Amie J. Eisfeld United States 22 1.1k 0.8× 651 0.6× 496 0.7× 170 0.5× 756 2.3× 34 1.9k
Mongkol Uiprasertkul Thailand 15 1.1k 0.8× 374 0.4× 573 0.8× 390 1.2× 219 0.7× 45 1.7k
Kathie‐Anne Walters United States 23 1.9k 1.3× 589 0.6× 731 1.0× 128 0.4× 811 2.5× 35 3.1k
Hideki Asanuma Japan 25 1.0k 0.7× 1.1k 1.0× 511 0.7× 74 0.2× 292 0.9× 61 2.0k

Countries citing papers authored by Lucy A. Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Lucy A. Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucy A. Perrone. 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 Lucy A. Perrone. The network helps show where Lucy A. Perrone may publish in the future.

Co-authorship network of co-authors of Lucy A. Perrone

This figure shows the co-authorship network connecting the top 25 collaborators of Lucy A. Perrone. A scholar is included among the top collaborators of Lucy A. Perrone 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 Lucy A. Perrone. Lucy A. Perrone 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
3.
Vimalanathan, Selvarani, et al.. (2023). Ensuring diagnostic testing accuracy for patient care and public health- COVID-19 testing scale-up from an EQA provider’s perspective. SHILAP Revista de lepidopterología. 3(12). e0001615–e0001615. 1 indexed citations
5.
Kemper, Kathryn E., Orvalho Augusto, Stephen Gloyd, et al.. (2023). HIV viral load testing and monitoring in Côte d’Ivoire: A survival analysis of viral load testing and suppression, and evaluation of adherence to national recommendations. SHILAP Revista de lepidopterología. 3(9). e0001822–e0001822. 1 indexed citations
6.
Buchta, Christoph, Heinz Zeichhardt, Andreas Osterman, Lucy A. Perrone, & Andrea Griesmacher. (2023). Do not blindly trust negative diagnostic test results!. The Lancet Microbe. 5(2). e102–e103. 1 indexed citations
8.
Perrone, Lucy A., et al.. (2021). Adaptation of an electronic dashboard to monitor HIV viral load testing in Côte d’Ivoire. African Journal of Laboratory Medicine. 10(1). 1284–1284. 2 indexed citations
9.
Means, Arianna Rubin, Kevin Bardosh, Clive Anderson, et al.. (2021). Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States. Globalization and Health. 17(1). 124–124. 8 indexed citations
10.
McNabb, Scott J.N., Michael S. Wilkes, Onesmus Gachuno, et al.. (2021). Delivering Modern Global Health Learning Requires New Obligations and Approaches. Annals of Global Health. 87(1). 68–68. 8 indexed citations
12.
Perrone, Lucy A., et al.. (2016). Implementation of a mentored professional development programme in laboratory leadership and management in the Middle East and North Africa. Eastern Mediterranean Health Journal. 22(11). 832–839. 5 indexed citations
13.
Clegg, Christopher H., et al.. (2014). GLA-AF, an Emulsion-Free Vaccine Adjuvant for Pandemic Influenza. PLoS ONE. 9(2). e88979–e88979. 29 indexed citations
14.
Perrone, Lucy A., Jessica A. Belser, Debra A. Wadford, Jacqueline M. Katz, & Terrence M. Tumpey. (2013). Inducible Nitric Oxide Contributes to Viral Pathogenesis Following Highly Pathogenic Influenza Virus Infection in Mice. The Journal of Infectious Diseases. 207(10). 1576–1584. 79 indexed citations
15.
Perrone, Lucy A., Kristy J. Szretter, Jacqueline M. Katz, Joseph P. Mizgerd, & Terrence M. Tumpey. (2010). Mice Lacking Both TNF and IL‐1 Receptors Exhibit Reduced Lung Inflammation and Delay in Onset of Death following Infection with a Highly Virulent H5N1 Virus. The Journal of Infectious Diseases. 202(8). 1161–1170. 87 indexed citations
16.
Goodman, Alan G., Jamie L. Fornek, Guruprasad R. Medigeshi, et al.. (2009). P58IPK: A Novel “CIHD” Member of the Host Innate Defense Response against Pathogenic Virus Infection. PLoS Pathogens. 5(5). e1000438–e1000438. 36 indexed citations
17.
Yu, Xiaocong, Tshidi Tsibane, Patricia McGraw, et al.. (2008). Neutralizing antibodies derived from the B cells of 1918 influenza pandemic survivors. Nature. 455(7212). 532–536. 327 indexed citations
18.
Perrone, Lucy A., et al.. (2008). H5N1 and 1918 Pandemic Influenza Virus Infection Results in Early and Excessive Infiltration of Macrophages and Neutrophils in the Lungs of Mice. PLoS Pathogens. 4(8). e1000115–e1000115. 529 indexed citations breakdown →
19.
Conenello, Gina M., Dmitriy Zamarin, Lucy A. Perrone, Terrence M. Tumpey, & Peter Palese. (2007). A Single Mutation in the PB1-F2 of H5N1 (HK/97) and 1918 Influenza A Viruses Contributes to Increased Virulence. PLoS Pathogens. 3(10). e141–e141. 398 indexed citations
20.
Tseng, Chien‐Te K., et al.. (2005). Severe Acute Respiratory Syndrome and the Innate Immune Responses: Modulation of Effector Cell Function without Productive Infection. The Journal of Immunology. 174(12). 7977–7985. 112 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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