Danielle Duquette

1.9k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Danielle Duquette is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Danielle Duquette has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Danielle Duquette's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). Danielle Duquette is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). Danielle Duquette collaborates with scholars based in United States, Ireland and Australia. Danielle Duquette's co-authors include Lydia Lynch, Michael B. Brenner, Ali Tavakkoli, Andrew E. Hogan, Donal O’Shea, Xavier Michelet, Alexander S. Banks, Kevin Wei, Ulrich H. von Andrian and Cliona O’Farrelly and has published in prestigious journals such as Journal of Clinical Investigation, Immunity and Nature Immunology.

In The Last Decade

Danielle Duquette

8 papers receiving 1.1k citations

Hit Papers

Metabolic reprogramming of natural killer cells in obesit... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Duquette United States 7 696 358 252 208 143 8 1.1k
Jonathan M. Han Canada 9 437 0.6× 225 0.6× 146 0.6× 174 0.8× 75 0.5× 9 730
Chantel McSkimming United States 14 684 1.0× 215 0.6× 81 0.3× 248 1.2× 137 1.0× 21 951
Byung Lae Park South Korea 19 191 0.3× 180 0.5× 207 0.8× 367 1.8× 122 0.9× 40 996
Queenie Lai Kwan Lam Hong Kong 10 330 0.5× 252 0.7× 148 0.6× 81 0.4× 95 0.7× 12 763
Lubna Nadeem Canada 17 426 0.6× 197 0.6× 72 0.3× 344 1.7× 91 0.6× 29 1.1k
Wenxin Huang Sweden 13 438 0.6× 134 0.4× 54 0.2× 565 2.7× 99 0.7× 23 1.0k
Martin Busch Germany 17 551 0.8× 169 0.5× 64 0.3× 266 1.3× 50 0.3× 36 1.0k
Brian T. Saunders United States 15 422 0.6× 109 0.3× 91 0.4× 261 1.3× 170 1.2× 17 858
Kazuhito Kawata Japan 16 141 0.2× 270 0.8× 78 0.3× 216 1.0× 104 0.7× 54 814
F. Oberhäuser Germany 16 128 0.2× 211 0.6× 168 0.7× 281 1.4× 109 0.8× 19 790

Countries citing papers authored by Danielle Duquette

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Duquette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Duquette

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Duquette. A scholar is included among the top collaborators of Danielle Duquette 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 Danielle Duquette. Danielle Duquette 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.
Harmon, Cathal, Alexandra Zaborowski, Karen Slattery, et al.. (2023). γδ T cell dichotomy with opposing cytotoxic and wound healing functions in human solid tumors. Nature Cancer. 4(8). 1122–1137. 33 indexed citations
2.
Duquette, Danielle, Cathal Harmon, Alexandra Zaborowski, et al.. (2023). Human Granzyme K Is a Feature of Innate T Cells in Blood, Tissues, and Tumors, Responding to Cytokines Rather than TCR Stimulation. The Journal of Immunology. 211(4). 633–647. 16 indexed citations
3.
Michelet, Xavier, Lydia Dyck, Andrew E. Hogan, et al.. (2018). Metabolic reprogramming of natural killer cells in obesity limits antitumor responses. Nature Immunology. 19(12). 1330–1340. 448 indexed citations breakdown →
4.
Kohlgruber, Ayano C., Shani T. Gal-Oz, Nelson M. LaMarche, et al.. (2018). γδ T cells producing interleukin-17A regulate adipose regulatory T cell homeostasis and thermogenesis. Nature Immunology. 19(5). 464–474. 240 indexed citations
5.
Boulenouar, Selma, Xavier Michelet, Danielle Duquette, et al.. (2017). Adipose Type One Innate Lymphoid Cells Regulate Macrophage Homeostasis through Targeted Cytotoxicity. Immunity. 46(2). 273–286. 155 indexed citations
6.
Chang, Sook Kyung, Ayano C. Kohlgruber, Fumitaka Mizoguchi, et al.. (2017). Stromal cell cadherin-11 regulates adipose tissue inflammation and diabetes. Journal of Clinical Investigation. 127(9). 3300–3312. 47 indexed citations
7.
Lynch, Lydia, Andrew E. Hogan, Danielle Duquette, et al.. (2016). iNKT Cells Induce FGF21 for Thermogenesis and Are Required for Maximal Weight Loss in GLP1 Therapy. Cell Metabolism. 24(3). 510–519. 148 indexed citations
8.
Katz, Marcia, Dennis J. Beer, Danielle Duquette, et al.. (1994). Secretion of a Novel T-Lymphocyte Cytokine Possessing both Chemotactic and Growth Factor Activity by Serotonin-Stimulated Human Aortic Endothelial Cells. Experimental Cell Research. 212(1). 113–119. 2 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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