Melissa Precopio

2.3k total citations · 1 hit paper
16 papers, 1.8k citations indexed

About

Melissa Precopio is a scholar working on Immunology, Epidemiology and Virology. According to data from OpenAlex, Melissa Precopio has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Epidemiology and 4 papers in Virology. Recurrent topics in Melissa Precopio's work include Immune Cell Function and Interaction (9 papers), Immune Response and Inflammation (5 papers) and Cytomegalovirus and herpesvirus research (4 papers). Melissa Precopio is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immune Response and Inflammation (5 papers) and Cytomegalovirus and herpesvirus research (4 papers). Melissa Precopio collaborates with scholars based in United States, Slovakia and United Kingdom. Melissa Precopio's co-authors include Richard A. Koup, Mario Roederer, Daniel C. Douek, David A. Price, Joseph P. Casazza, Jason M. Brenchley, Emma Gostick, William C. Adams, Constantinos Petrovas and Timothy W. Schacker and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Melissa Precopio

16 papers receiving 1.8k citations

Hit Papers

PD-1 is a regulator of virus-specific CD8+ T cell surviva... 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PD-1 is a regulator of virus-specific CD8+ T cell survival in HIV infection
    2006 725 citations Constantinos Petrovas, Joseph P. Casazza et al. The Journal of Experimental Medicine profile →

Peers

Melissa Precopio
Caterina Lapenta Italy
Stefano M. Santini Italy
Anele Waters United Kingdom
Elise Landais United States
Jamie Wilson United Kingdom
Deborah A. Lewinsohn United States
Stefano Buttò Italy
Sandra A. Calarota United States
Frank Weichold United States
Gennadiy Zelinskyy Germany
Caterina Lapenta Italy
Melissa Precopio
Citations per year, relative to Melissa Precopio Melissa Precopio (= 1×) peers Caterina Lapenta

Countries citing papers authored by Melissa Precopio

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Precopio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Precopio

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Precopio. A scholar is included among the top collaborators of Melissa Precopio 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 Melissa Precopio. Melissa Precopio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Chang, Jason Y.H., Timothy Dudek, Melissa Precopio, et al.. (2012). TLR7/9 antagonist reduces HIV-1-induced immune activation. Retrovirology. 9(S2). 1 indexed citations
2.
Kandimalla, Ekambar R., Mary Struthers, Andrew J. Bett, et al.. (2011). Synthesis and immunological activities of novel Toll-like receptor 7 and 8 agonists. Cellular Immunology. 270(2). 126–134. 11 indexed citations
3.
Precopio, Melissa, Michael J. Reardon, Tao Lan, et al.. (2011). Supra-additive effect of IMO-4200, a novel TLR7 and TLR8 dual agonist, with rituximab and cytotoxics in preclinical models of hematologic malignancies.. Journal of Clinical Oncology. 29(15_suppl). e13076–e13076. 2 indexed citations
4.
Wang, Daqing, Melissa Precopio, Michael J. Reardon, et al.. (2011). IMO-4200, a Novel TLR7 and TLR8 Dual Agonist, Enhances Antitumor Effect of Ofatumumab, Rituximab and Cytotoxics in Preclinical Models of Hematological Malignancies,. Blood. 118(21). 3724–3724. 3 indexed citations
5.
Wang, Daqing, Melissa Precopio, Tao Lan, et al.. (2010). Antitumor Activity and Immune Response Induction of a Dual Agonist of Toll-Like Receptors 7 and 8. Molecular Cancer Therapeutics. 9(6). 1788–1797. 34 indexed citations
6.
Struthers, Mary, Andrew J. Bett, Thomas Wısnıewskı, et al.. (2010). Synthesis and immunological activities of novel agonists of toll-like receptor 9. Cellular Immunology. 263(1). 105–113. 13 indexed citations
7.
Wang, Daqing, Melissa Precopio, Michael J. Reardon, et al.. (2010). Antitumor Activity of An RNA-Based Agonist of TLR7 and 8 In Preclinical Models of Hematological Malignancies. Blood. 116(21). 421–421. 1 indexed citations
8.
Duvall, Melody G., Melissa Precopio, Assan Jaye, et al.. (2008). Polyfunctional T cell responses are a hallmark of HIV‐2 infection. European Journal of Immunology. 38(2). 350–363. 189 indexed citations
9.
Precopio, Melissa, Tiffany R. Butterfield, Joseph P. Casazza, et al.. (2008). Optimizing peptide matrices for identifying T‐cell antigens. Cytometry Part A. 73A(11). 1071–1078. 27 indexed citations
10.
Precopio, Melissa, Michael R. Betts, Janie Parrino, et al.. (2007). Immunization with vaccinia virus induces polyfunctional and phenotypically distinctive CD8+ T cell responses. The Journal of Experimental Medicine. 204(6). 1405–1416. 378 indexed citations
11.
Loré, Karin, William C. Adams, Menzo Havenga, et al.. (2007). Myeloid and Plasmacytoid Dendritic Cells Are Susceptible to Recombinant Adenovirus Vectors and Stimulate Polyfunctional Memory T Cell Responses. The Journal of Immunology. 179(3). 1721–1729. 72 indexed citations
12.
Herrick, Richard S., et al.. (2007). Synthesis of tungsten compounds with Schiff base ligands prepared from ferrocenecarboxaldehyde: Observation of the migration of an imine double bond. Journal of Organometallic Chemistry. 693(4). 619–624. 9 indexed citations
13.
Casazza, Joseph P., Michael R. Betts, David A. Price, et al.. (2006). Acquisition of direct antiviral effector functions by CMV-specific CD4+ T lymphocytes with cellular maturation. The Journal of Experimental Medicine. 203(13). 2865–2877. 272 indexed citations
14.
Petrovas, Constantinos, Joseph P. Casazza, Jason M. Brenchley, et al.. (2006). PD-1 is a regulator of virus-specific CD8+ T cell survival in HIV infection. The Journal of Experimental Medicine. 203(10). 2281–2292. 725 indexed citations breakdown →
15.
Precopio, Melissa, et al.. (2003). Differential Kinetics and Specificity of EBV-Specific CD4+ and CD8+ T Cells During Primary Infection. The Journal of Immunology. 170(5). 2590–2598. 67 indexed citations
16.
Matijašević, Zdenka, Melissa Precopio, John E. Snyder, & David B. Ludlum. (2001). Repair of sulfur mustard-induced DNA damage in mammalian cells measured by a host cell reactivation assay. Carcinogenesis. 22(4). 661–664. 40 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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