Judy Day

1.4k total citations
38 papers, 921 citations indexed

About

Judy Day is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Judy Day has authored 38 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Judy Day's work include Immune Response and Inflammation (14 papers), Sepsis Diagnosis and Treatment (9 papers) and Bacillus and Francisella bacterial research (4 papers). Judy Day is often cited by papers focused on Immune Response and Inflammation (14 papers), Sepsis Diagnosis and Treatment (9 papers) and Bacillus and Francisella bacterial research (4 papers). Judy Day collaborates with scholars based in United States, United Kingdom and France. Judy Day's co-authors include Yoram Vodovotz, Gilles Clermont, Jonathan E. Rubin, Angela Reynolds, Avner Friedman, Larry S. Schlesinger, G. Bard Ermentrout, Carson C. Chow, Timothy R. Billiar and Suzanne Lenhart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Proceedings of the Royal Society B Biological Sciences and Frontiers in Immunology.

In The Last Decade

Judy Day

36 papers receiving 899 citations

Peers

Judy Day
Manmeet Rawat United States
S. H. Heisterkamp Netherlands
Selma Çetin United States
Jennifer L. Uhrlaub United States
Subramaniam Krishnan United States
Wen Su China
Simone Marini United States
Judy Day
Citations per year, relative to Judy Day Judy Day (= 1×) peers Josep Bassaganya-Riera

Countries citing papers authored by Judy Day

Since Specialization
Citations

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

Fields of papers citing papers by Judy Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Day

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Day. A scholar is included among the top collaborators of Judy Day 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 Judy Day. Judy Day 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.
Day, Judy, et al.. (2022). Linking Immuno-Epidemiology Principles to Violence. BMC Public Health. 22(1). 2118–2118.
2.
Donovan, Killian, Akshay Shah, Judy Day, & Stuart McKechnie. (2021). Adjunctive treatments for the management of septic shock – a narrative review of the current evidence. Anaesthesia. 76(9). 1245–1258. 6 indexed citations
3.
Day, Judy, Soojin Park, Benjamin L. Ranard, et al.. (2021). Divergent COVID-19 Disease Trajectories Predicted by a DAMP-Centered Immune Network Model. Frontiers in Immunology. 12. 754127–754127. 11 indexed citations
4.
Ritchie, Hannah, et al.. (2021). Mathematically modeling the effect of touch frequency on the environmental transmission of Clostridioides difficile in healthcare settings. Mathematical Biosciences. 340. 108666–108666. 3 indexed citations
5.
Lanzas, Cristina, et al.. (2020). Comparing intervention strategies for reducing Clostridioides difficile transmission in acute healthcare settings: an agent-based modeling study. BMC Infectious Diseases. 20(1). 799–799. 17 indexed citations
6.
Cross, Alan S., et al.. (2018). Modeling the macrophage-anthrax spore interaction: Implications for early host-pathogen interactions. Mathematical Biosciences. 305. 18–28. 9 indexed citations
7.
Day, Judy, Chase Cockrell, Rami A. Namas, et al.. (2018). Inflammation and disease: Modelling and modulation of the inflammatory response to alleviate critical illness. Current Opinion in Systems Biology. 12. 22–29. 14 indexed citations
8.
Fliess, Michel, et al.. (2018). Toward a model-free feedback control synthesis for treating acute inflammation. Journal of Theoretical Biology. 448. 26–37. 29 indexed citations
9.
Lanzas, Cristina, et al.. (2017). Optimal control of vaccination rate in an epidemiological model of Clostridium difficile transmission. Journal of Mathematical Biology. 75(6-7). 1693–1713. 11 indexed citations
10.
Day, Judy, et al.. (2016). Immune therapy using optimal control with L1 type objective. 4895–4900. 3 indexed citations
11.
Djouadi, Seddik M., et al.. (2015). Combining robust state estimation with nonlinear model predictive control to regulate the acute inflammatory response to pathogen. Mathematical Biosciences & Engineering. 12(5). 1127–1139. 7 indexed citations
12.
Day, Judy, Diana Metes, & Yoram Vodovotz. (2015). Mathematical Modeling of Early Cellular Innate and Adaptive Immune Responses to Ischemia/Reperfusion Injury and Solid Organ Allotransplantation. Frontiers in Immunology. 6. 484–484. 13 indexed citations
13.
Day, Judy & E. Legrand. (2014). Synergy of local, regional, and systemic non-specific stressors for host defense against pathogens. Journal of Theoretical Biology. 367. 39–48. 3 indexed citations
14.
Day, Judy, Avner Friedman, & Larry S. Schlesinger. (2011). Modeling the host response to inhalation anthrax. Journal of Theoretical Biology. 276(1). 199–208. 20 indexed citations
15.
Day, Judy, Larry S. Schlesinger, & Avner Friedman. (2010). Tuberculosis research: Going forward with a powerful “Translational Systems Biology” approach. Tuberculosis. 90(1). 7–8. 10 indexed citations
16.
Prince, José M., Ryan M. Levy, John Bartels, et al.. (2006). In Silico and In Vivo Approach to Elucidate the Inflammatory Complexity of CD14-deficient Mice. Molecular Medicine. 12(4-6). 88–96. 61 indexed citations
17.
Vodovotz, Yoram, Carson C. Chow, John Bartels, et al.. (2006). IN SILICO MODELS OF ACUTE INFLAMMATION IN ANIMALS. Shock. 26(3). 235–244. 83 indexed citations
18.
Day, Judy, et al.. (2006). Modulating inflammation using nonlinear model predictive control. Journal of Critical Care. 21(4). 349–350. 2 indexed citations
19.
Reynolds, Angela, Jonathan E. Rubin, Gilles Clermont, et al.. (2006). A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation. Journal of Theoretical Biology. 242(1). 220–236. 181 indexed citations
20.
Day, Judy, Jonathan E. Rubin, Yoram Vodovotz, et al.. (2006). A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administration. Journal of Theoretical Biology. 242(1). 237–256. 121 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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