Colleen M. McClean

443 total citations
10 papers, 334 citations indexed

About

Colleen M. McClean is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Colleen M. McClean has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Infectious Diseases. Recurrent topics in Colleen M. McClean's work include Malaria Research and Control (4 papers), Aquaculture disease management and microbiota (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Colleen M. McClean is often cited by papers focused on Malaria Research and Control (4 papers), Aquaculture disease management and microbiota (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Colleen M. McClean collaborates with scholars based in United States, Australia and Peru. Colleen M. McClean's co-authors include David M. Tobin, Joseph M. Vinetz, Neekesh V. Dharia, Elizabeth A. Winzeler, Scott J Westenberger, John W. Barnwell, Alejandro Llanos‐Cuentas, William E. Collins, Yingyao Zhou and Rana Chattopadhyay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Colleen M. McClean

10 papers receiving 332 citations

Peers

Colleen M. McClean
Eliane Bourreau French Guiana
Béatris Mastelic Switzerland
Joshua J. Reece United States
Morris O. Makobongo United States
H. Remy Bailor United States
Colleen M. McClean
Citations per year, relative to Colleen M. McClean Colleen M. McClean (= 1×) peers Maxmillian Mpina

Countries citing papers authored by Colleen M. McClean

Since Specialization
Citations

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

Fields of papers citing papers by Colleen M. McClean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colleen M. McClean. 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 Colleen M. McClean. The network helps show where Colleen M. McClean may publish in the future.

Co-authorship network of co-authors of Colleen M. McClean

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

All Works

10 of 10 papers shown
1.
McClean, Colleen M., Alena J. Markmann, Ross M. Boyce, et al.. (2023). Seroepidemiology and risk factors for SARS-CoV-2 infection among household members of food processing and farm workers in North Carolina. IJID Regions. 7. 164–169. 1 indexed citations
2.
Richardson, David B., Colleen M. McClean, Alena J. Markmann, et al.. (2022). SARS-CoV-2 seroprevalence and risk factors among meat packing, produce processing, and farm workers. SHILAP Revista de lepidopterología. 2(7). e0000619–e0000619. 4 indexed citations
3.
McClean, Colleen M. & David M. Tobin. (2020). Early cell-autonomous accumulation of neutral lipids during infection promotes mycobacterial growth. PLoS ONE. 15(5). e0232251–e0232251. 3 indexed citations
4.
Luo, Peter, Liuyang Wang, Elizabeth Theusch, et al.. (2017). Human genetic variation in VAC14 regulates Salmonella invasion and typhoid fever through modulation of cholesterol. Proceedings of the National Academy of Sciences. 114(37). E7746–E7755. 32 indexed citations
5.
McClean, Colleen M. & David M. Tobin. (2016). Macrophage form, function, and phenotype in mycobacterial infection: lessons from tuberculosis and other diseases. Pathogens and Disease. 74(7). ftw068–ftw068. 100 indexed citations
6.
Li, Fengwu, Raúl Chuquiyauri, Shira R. Abeles, et al.. (2011). Lack of Molecular Correlates of Plasmodium vivax Ookinete Development. American Journal of Tropical Medicine and Hygiene. 85(2). 207–213. 6 indexed citations
7.
McClean, Colleen M., Benjamin J. Silk, James W. Buehler, & Ruth L. Berkelman. (2010). Disease Reporting Among Georgia Physicians and Laboratories. Journal of Public Health Management and Practice. 16(6). 535–543. 10 indexed citations
8.
Westenberger, Scott J, Colleen M. McClean, Rana Chattopadhyay, et al.. (2010). A Systems-Based Analysis of Plasmodium vivax Lifecycle Transcription from Human to Mosquito. PLoS neglected tropical diseases. 4(4). e653–e653. 82 indexed citations
9.
McClean, Colleen M., et al.. (2010). Optimized In Vitro Production of Plasmodium vivax Ookinetes. American Journal of Tropical Medicine and Hygiene. 83(6). 1183–1186. 12 indexed citations
10.
Dharia, Neekesh V., A. Taylor Bright, Scott J Westenberger, et al.. (2010). Whole-genome sequencing and microarray analysis of ex vivo Plasmodium vivax reveal selective pressure on putative drug resistance genes. Proceedings of the National Academy of Sciences. 107(46). 20045–20050. 84 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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