Dee N. Dao

916 total citations
11 papers, 737 citations indexed

About

Dee N. Dao is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Dee N. Dao has authored 11 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Dee N. Dao's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Immune Response and Inflammation (2 papers). Dee N. Dao is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Immune Response and Inflammation (2 papers). Dee N. Dao collaborates with scholars based in United States, United Kingdom and France. Dee N. Dao's co-authors include William R. Jacobs, Richard H. Kessin, Herbert L. Ennis, Steven A. Porcelli, Laurent Kremer, Stefan Pukatzki, John Chan, Tsungda Hsu, Alberto Molano and Yann Guérardel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS ONE.

In The Last Decade

Dee N. Dao

11 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dee N. Dao United States 9 385 324 261 175 159 11 737
Jason E. Norton United States 10 301 0.8× 260 0.8× 458 1.8× 44 0.3× 93 0.6× 12 864
Anna Sintsova United States 15 147 0.4× 220 0.7× 341 1.3× 115 0.7× 115 0.7× 27 786
Nicolas Folschweiller Switzerland 13 100 0.3× 271 0.8× 194 0.7× 88 0.5× 133 0.8× 28 635
Patricio Mena United States 17 95 0.2× 45 0.1× 319 1.2× 180 1.0× 277 1.7× 28 721
María A. Duque-Correa United Kingdom 16 184 0.5× 142 0.4× 230 0.9× 273 1.6× 35 0.2× 26 762
Kathleen M. Mirrashidi United States 5 60 0.2× 189 0.6× 401 1.5× 212 1.2× 38 0.2× 5 767
Jean‐Pierre Dangy Switzerland 16 90 0.2× 507 1.6× 162 0.6× 219 1.3× 32 0.2× 28 923
Tobias Paprotka Germany 16 68 0.2× 132 0.4× 458 1.8× 154 0.9× 134 0.8× 20 1.1k
Leslie A. Weiss United States 11 281 0.7× 344 1.1× 313 1.2× 181 1.0× 142 0.9× 17 720
Can Ünal Germany 16 91 0.2× 229 0.7× 409 1.6× 204 1.2× 53 0.3× 32 844

Countries citing papers authored by Dee N. Dao

Since Specialization
Citations

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

Fields of papers citing papers by Dee N. Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dee N. Dao. 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 Dee N. Dao. The network helps show where Dee N. Dao may publish in the future.

Co-authorship network of co-authors of Dee N. Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Dee N. Dao. A scholar is included among the top collaborators of Dee N. Dao 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 Dee N. Dao. Dee N. Dao 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.
Chu, Gerald, et al.. (2014). Abstract A15: Development of a cloud-based histology database for collaborative cancer research. Molecular Cancer Research. 12(11_Supplement). A15–A15. 1 indexed citations
2.
Dao, Dee N., Brian Weinrick, Catherine Vilchèze, et al.. (2013). Keto-Mycolic Acid-Dependent Pellicle Formation Confers Tolerance to Drug-Sensitive Mycobacterium tuberculosis. mBio. 4(3). e00222–13. 95 indexed citations
4.
Dao, Dee N., Michael F. Goldberg, Tsungda Hsu, et al.. (2011). A recombinant Mycobacterium smegmatis induces potent bactericidal immunity against Mycobacterium tuberculosis. Nature Medicine. 17(10). 1261–1268. 171 indexed citations
5.
Dao, Dee N., Tsungda Hsu, Sudagar S. Gurcha, et al.. (2008). Mycolic Acid Modification by the mmaA4 Gene of M. tuberculosis Modulates IL-12 Production. PLoS Pathogens. 4(6). e1000081–e1000081. 86 indexed citations
6.
Dao, Dee N., Laurent Kremer, Yann Guérardel, et al.. (2004). Mycobacterium tuberculosisLipomannan Induces Apoptosis and Interleukin-12 Production in Macrophages. Infection and Immunity. 72(4). 2067–2074. 131 indexed citations
7.
Ennis, Herbert L., Dee N. Dao, Mary Wu, & Richard H. Kessin. (2003). Mutation of the Dictyostelium fbxA Gene Affects Cell-Fate Decisions and Spatial Patterning. Protist. 154(3-4). 419–429. 9 indexed citations
8.
Dao, Dee N., Richard H. Kessin, & Herbert L. Ennis. (2000). Developmental cheating and the evolutionary biology of Dictyostelium and Myxococcus. Microbiology. 146(7). 1505–1512. 37 indexed citations
9.
Ennis, Herbert L., Dee N. Dao, Stefan Pukatzki, & Richard H. Kessin. (2000). Dictyosteliumamoebae lacking an F-box protein form spores rather than stalk in chimeras with wild type. Proceedings of the National Academy of Sciences. 97(7). 3292–3297. 99 indexed citations
10.
Dao, Dee N.. (1998). IMPT1, an imprinted gene similar to polyspecific transporter and multi- drug resistance genes. Human Molecular Genetics. 7(4). 597–608. 86 indexed citations
11.
Fisher, Susan J., Clifford Librach, Yan Zhou, et al.. (1992). Regulation of human cytotrophoblast invasion. Placenta. 13(4). A17–A17. 1 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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