Mary K. McCarthy

469 total citations
11 papers, 354 citations indexed

About

Mary K. McCarthy is a scholar working on Epidemiology, Genetics and Immunology. According to data from OpenAlex, Mary K. McCarthy has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Mary K. McCarthy's work include Virus-based gene therapy research (5 papers), interferon and immune responses (3 papers) and Respiratory viral infections research (3 papers). Mary K. McCarthy is often cited by papers focused on Virus-based gene therapy research (5 papers), interferon and immune responses (3 papers) and Respiratory viral infections research (3 papers). Mary K. McCarthy collaborates with scholars based in United States and United Kingdom. Mary K. McCarthy's co-authors include Jason B. Weinberg, Megan C. Procario, I.N. Brown, A J Pinching, David S. Robinson, MATTHEW HELBERT, T. J. Hellyer, D M Mitchell, Sharlene M. Day and D Buchanan and has published in prestigious journals such as PLoS ONE, Journal of Virology and Frontiers in Microbiology.

In The Last Decade

Mary K. McCarthy

11 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary K. McCarthy United States 9 127 116 111 71 66 11 354
Frédéric Reynier France 12 76 0.6× 117 1.0× 150 1.4× 69 1.0× 84 1.3× 15 430
Yu-Ping Chiang Taiwan 6 128 1.0× 78 0.7× 122 1.1× 82 1.2× 36 0.5× 7 329
Patricia Lobelle‐Rich United States 14 86 0.7× 194 1.7× 147 1.3× 44 0.6× 151 2.3× 27 468
A Ohshima Japan 9 97 0.8× 66 0.6× 56 0.5× 142 2.0× 56 0.8× 14 356
Kalliopi Pervolaraki Germany 8 134 1.1× 274 2.4× 179 1.6× 150 2.1× 56 0.8× 11 526
Nadine Honke Germany 14 111 0.9× 286 2.5× 150 1.4× 72 1.0× 50 0.8× 24 499
Susana de Lucas Spain 11 306 2.4× 70 0.6× 124 1.1× 74 1.0× 71 1.1× 13 591
A Yeh United States 6 116 0.9× 110 0.9× 171 1.5× 57 0.8× 45 0.7× 9 386
Ikuo Kikuchi Japan 9 93 0.7× 183 1.6× 53 0.5× 32 0.5× 65 1.0× 34 424

Countries citing papers authored by Mary K. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Mary K. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary K. McCarthy. 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 Mary K. McCarthy. The network helps show where Mary K. McCarthy may publish in the future.

Co-authorship network of co-authors of Mary K. McCarthy

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

All Works

11 of 11 papers shown
1.
McCarthy, Mary K., Megan C. Procario, Ping Wang, et al.. (2016). Interferon-dependent immunoproteasome activity during mouse adenovirus type 1 infection. Virology. 498. 57–68. 18 indexed citations
2.
Procario, Megan C., et al.. (2016). Prostaglandin E2 production during neonatal respiratory infection with mouse adenovirus type 1. Virus Research. 214. 26–32. 1 indexed citations
3.
McCarthy, Mary K., Megan C. Procario, Carol A. Wilke, Bethany B. Moore, & Jason B. Weinberg. (2015). Prostaglandin E2 Production and T Cell Function in Mouse Adenovirus Type 1 Infection following Allogeneic Bone Marrow Transplantation. PLoS ONE. 10(9). e0139235–e0139235. 11 indexed citations
4.
McCarthy, Mary K. & Jason B. Weinberg. (2015). The immunoproteasome and viral infection: a complex regulator of inflammation. Frontiers in Microbiology. 6. 21–21. 131 indexed citations
6.
McCarthy, Mary K., Megan C. Procario, John E. Wilkinson, et al.. (2014). Proinflammatory Effects of Interferon Gamma in Mouse Adenovirus 1 Myocarditis. Journal of Virology. 89(1). 468–479. 34 indexed citations
7.
McCarthy, Mary K., Megan C. Procario, Peter J. McDonnell, et al.. (2013). Prostaglandin E2 Induction during Mouse Adenovirus Type 1 Respiratory Infection Regulates Inflammatory Mediator Generation but Does Not Affect Viral Pathogenesis. PLoS ONE. 8(10). e77628–e77628. 15 indexed citations
8.
McCarthy, Mary K. & Jason B. Weinberg. (2012). Eicosanoids and Respiratory Viral Infection: Coordinators of Inflammation and Potential Therapeutic Targets. Mediators of Inflammation. 2012. 1–13. 35 indexed citations
9.
Procario, Megan C., et al.. (2012). Susceptibility to Acute Mouse Adenovirus Type 1 Respiratory Infection and Establishment of Protective Immunity in Neonatal Mice. Journal of Virology. 86(8). 4194–4203. 24 indexed citations
10.
HELBERT, MATTHEW, David S. Robinson, D Buchanan, et al.. (1990). Mycobacterial infection in patients infected with the human immunodeficiency virus.. Thorax. 45(1). 45–48. 47 indexed citations
11.
Harris, Robert P., Cyril Clarke, Amanda Jones, et al.. (1966). Further Studies on the Normal Lymphocyte Transfer Test in Man. BMJ. 1(5486). 509–514. 5 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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