Dat P. Mao

2.9k total citations · 2 hit papers
8 papers, 2.4k citations indexed

About

Dat P. Mao is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Dat P. Mao has authored 8 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Dat P. Mao's work include Inflammasome and immune disorders (7 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (3 papers). Dat P. Mao is often cited by papers focused on Inflammasome and immune disorders (7 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (3 papers). Dat P. Mao collaborates with scholars based in United States and Ireland. Dat P. Mao's co-authors include Alan Aderem, Edward A. Miao, Sarah Warren, Irina A. Leaf, Monica Dors, Anasuya Sarkar, Mark D. Wewers, Piper M. Treuting, Cynthia G. Lorang and Richard Bonneau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and The Journal of Immunology.

In The Last Decade

Dat P. Mao

8 papers receiving 2.3k citations

Hit Papers

Caspase-1-induced pyroptosis is an innate immune effector... 2010 2026 2015 2020 2010 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dat P. Mao United States 8 1.9k 1.2k 264 241 230 8 2.4k
Monica Dors United States 3 1.7k 0.9× 1.2k 1.0× 212 0.8× 208 0.9× 251 1.1× 3 2.2k
Irina A. Leaf United States 12 2.2k 1.2× 1.3k 1.1× 275 1.0× 282 1.2× 240 1.0× 13 2.9k
Jon A. Hagar United States 8 1.4k 0.8× 914 0.8× 199 0.8× 233 1.0× 179 0.8× 8 1.9k
Youssef Aachoui United States 13 1.7k 0.9× 1.0k 0.9× 232 0.9× 240 1.0× 108 0.5× 17 2.1k
Gabriel Núñez United States 17 1.6k 0.9× 1.6k 1.4× 107 0.4× 319 1.3× 133 0.6× 19 2.8k
Ine Jørgensen United States 9 1.7k 0.9× 901 0.8× 218 0.8× 371 1.5× 96 0.4× 11 2.3k
Larissa D. Cunha Brazil 14 1.2k 0.6× 765 0.7× 375 1.4× 591 2.5× 131 0.6× 21 2.2k
Sunny Shin United States 28 1.5k 0.8× 1.8k 1.5× 226 0.9× 288 1.2× 699 3.0× 53 3.1k
Jennifer J. Dong United States 9 2.2k 1.2× 1.2k 1.1× 194 0.7× 278 1.2× 106 0.5× 10 2.6k
Sandhya Ganesan United States 9 1.6k 0.9× 1.4k 1.2× 177 0.7× 469 1.9× 68 0.3× 12 2.4k

Countries citing papers authored by Dat P. Mao

Since Specialization
Citations

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

Fields of papers citing papers by Dat P. Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dat P. Mao. 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 Dat P. Mao. The network helps show where Dat P. Mao may publish in the future.

Co-authorship network of co-authors of Dat P. Mao

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

All Works

8 of 8 papers shown
1.
Aachoui, Youssef, Yuji Kajiwara, Irina A. Leaf, et al.. (2015). Canonical Inflammasomes Drive IFN-γ to Prime Caspase-11 in Defense against a Cytosol-Invasive Bacterium. Cell Host & Microbe. 18(3). 320–332. 101 indexed citations
2.
Warren, Sarah, Hien Duong, Dat P. Mao, et al.. (2011). Generation of a Listeria vaccine strain by enhanced caspase‐1 activation. European Journal of Immunology. 41(7). 1934–1940. 31 indexed citations
3.
Miao, Edward A., Irina A. Leaf, Piper Treuting, et al.. (2011). Caspase-1-induced pyroptosis is an innate immune effector mechanism against intracellular bacteria (111.33). The Journal of Immunology. 186(1_Supplement). 111.33–111.33. 21 indexed citations
4.
Miao, Edward A., Dat P. Mao, Natalya Yudkovsky, et al.. (2010). Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome. Proceedings of the National Academy of Sciences. 107(7). 3076–3080. 629 indexed citations breakdown →
5.
Miao, Edward A., Irina A. Leaf, Piper M. Treuting, et al.. (2010). Caspase-1-induced pyroptosis is an innate immune effector mechanism against intracellular bacteria. Nature Immunology. 11(12). 1136–1142. 1064 indexed citations breakdown →
6.
Warren, Sarah, M. Kristina Hamilton, Dat P. Mao, et al.. (2010). Cutting Edge: Cytosolic Bacterial DNA Activates the Inflammasome via Aim2. The Journal of Immunology. 185(2). 818–821. 117 indexed citations
7.
Warren, Sarah, et al.. (2008). Multiple Nod-Like Receptors Activate Caspase 1 during Listeria monocytogenes Infection. The Journal of Immunology. 180(11). 7558–7564. 153 indexed citations
8.
Miao, Edward A., Robert K. Ernst, Monica Dors, Dat P. Mao, & Alan Aderem. (2008). Pseudomonas aeruginosa activates caspase 1 through Ipaf. Proceedings of the National Academy of Sciences. 105(7). 2562–2567. 240 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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