Circe E. McDonald

1.3k total citations · 1 hit paper
7 papers, 916 citations indexed

About

Circe E. McDonald is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Circe E. McDonald has authored 7 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Circe E. McDonald's work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (4 papers) and Malaria Research and Control (3 papers). Circe E. McDonald is often cited by papers focused on Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (4 papers) and Malaria Research and Control (3 papers). Circe E. McDonald collaborates with scholars based in United States. Circe E. McDonald's co-authors include Mehul S. Suthar, J. Richard Bowen, Bali Pulendran, Justin T. O’Neal, Kendra M. Quicke, Jason D. Berndt, Jamie M. Goodson, Jennifer Potter, Travis L. Biechele and Russell J. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

Circe E. McDonald

7 papers receiving 909 citations

Hit Papers

Zika Virus Infects Human Placental Macrophages 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Circe E. McDonald United States 6 508 438 303 192 100 7 916
Andrea C. Nunez Australia 14 621 1.2× 487 1.1× 246 0.8× 72 0.4× 36 0.4× 20 991
Benjamin A. Krishna United Kingdom 22 150 0.3× 188 0.4× 369 1.2× 797 4.2× 306 3.1× 37 1.3k
In-Jeong Kim United States 14 152 0.3× 162 0.4× 105 0.3× 600 3.1× 388 3.9× 22 1.1k
Janet E. Larson United States 20 47 0.1× 110 0.3× 208 0.7× 80 0.4× 90 0.9× 32 878
Marisa Nia Madison United States 11 100 0.2× 148 0.3× 607 2.0× 97 0.5× 191 1.9× 14 831
Roland Tschismarov Austria 14 164 0.3× 242 0.6× 303 1.0× 103 0.5× 225 2.3× 16 667
Nicholas Bayless United States 7 105 0.2× 77 0.2× 394 1.3× 97 0.5× 139 1.4× 16 671
Edward A. Vizcarra United States 8 292 0.6× 271 0.6× 103 0.3× 137 0.7× 119 1.2× 12 531
Weichun Tang China 8 76 0.1× 102 0.2× 234 0.8× 27 0.1× 91 0.9× 29 468
Wayne L. Gordon United States 12 170 0.3× 173 0.4× 144 0.5× 67 0.3× 241 2.4× 19 800

Countries citing papers authored by Circe E. McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Circe E. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Circe E. McDonald. 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 Circe E. McDonald. The network helps show where Circe E. McDonald may publish in the future.

Co-authorship network of co-authors of Circe E. McDonald

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

All Works

7 of 7 papers shown
1.
Todor, Andrei, Kristal Maner-Smith, Jennifer K. Colucci, et al.. (2019). The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry. Biomolecules. 9(5). 200–200. 39 indexed citations
2.
Zimmerman, Matthew G., J. Richard Bowen, Circe E. McDonald, Bali Pulendran, & Mehul S. Suthar. (2019). West Nile Virus Infection Blocks Inflammatory Response and T Cell Costimulatory Capacity of Human Monocyte-Derived Dendritic Cells. Journal of Virology. 93(23). 17 indexed citations
3.
Zimmerman, Matthew G., J. Richard Bowen, Circe E. McDonald, et al.. (2019). STAT5: a Target of Antagonism by Neurotropic Flaviviruses. Journal of Virology. 93(23). 15 indexed citations
4.
Bowen, J. Richard, Kendra M. Quicke, Mohan S. Maddur, et al.. (2017). Zika Virus Antagonizes Type I Interferon Responses during Infection of Human Dendritic Cells. PLoS Pathogens. 13(2). e1006164–e1006164. 202 indexed citations
5.
Bowen, J. Richard, Circe E. McDonald, & Mehul S. Suthar. (2017). West Nile virus antagonism of a RIG-I, type I interferon, and STAT5 signaling axis in human dendritic cells. The Journal of Immunology. 198(Supplement_1). 158.7–158.7. 1 indexed citations
6.
Quicke, Kendra M., J. Richard Bowen, Erica L. Johnson, et al.. (2016). Zika Virus Infects Human Placental Macrophages. Cell Host & Microbe. 20(1). 83–90. 367 indexed citations breakdown →
7.
Davidson, Kathryn C., Allison Adams, Jamie M. Goodson, et al.. (2012). Wnt/β-catenin signaling promotes differentiation, not self-renewal, of human embryonic stem cells and is repressed by Oct4. Proceedings of the National Academy of Sciences. 109(12). 4485–4490. 275 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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