Dominique Kagele

1.2k total citations · 1 hit paper
9 papers, 987 citations indexed

About

Dominique Kagele is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Dominique Kagele has authored 9 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Dominique Kagele's work include Cytomegalovirus and herpesvirus research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). Dominique Kagele is often cited by papers focused on Cytomegalovirus and herpesvirus research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). Dominique Kagele collaborates with scholars based in United States, United Kingdom and France. Dominique Kagele's co-authors include Marah C. Runtsch, June L. Round, Ruozhen Hu, Ryan M. O’Connell, Margaret Alexander, Timothy L. Mosbruger, Tanya Tolmachova, Diane M. Ward, Miguel C. Seabra and Thomas B. Huffaker and has published in prestigious journals such as Nature Communications, Blood and Immunity.

In The Last Decade

Dominique Kagele

9 papers receiving 981 citations

Hit Papers

Exosome-delivered microRNAs modulate the inflammatory res... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominique Kagele United States 8 725 521 226 92 43 9 987
Fethi Louafi United Kingdom 7 385 0.5× 398 0.8× 311 1.4× 54 0.6× 47 1.1× 7 806
Jana Ferdin Slovenia 10 1.5k 2.1× 1.4k 2.7× 147 0.7× 73 0.8× 98 2.3× 11 2.0k
Gwendolyn Clay United States 9 327 0.5× 154 0.3× 274 1.2× 88 1.0× 25 0.6× 12 662
Csaba I. Tímár Hungary 9 521 0.7× 156 0.3× 297 1.3× 61 0.7× 11 0.3× 9 746
Rosanne E. Veerman Sweden 9 629 0.9× 296 0.6× 201 0.9× 57 0.6× 49 1.1× 11 732
Sherree Friend United States 11 336 0.5× 169 0.3× 374 1.7× 41 0.4× 95 2.2× 14 960
Rahul Sanwlani Australia 8 806 1.1× 457 0.9× 131 0.6× 19 0.2× 19 0.4× 11 890
M. Talbot Canada 7 704 1.0× 133 0.3× 527 2.3× 112 1.2× 84 2.0× 11 1.2k
Isobel Okoye Canada 19 776 1.1× 469 0.9× 724 3.2× 74 0.8× 237 5.5× 24 1.5k

Countries citing papers authored by Dominique Kagele

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Kagele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Kagele

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

All Works

9 of 9 papers shown
1.
Wallace, Jared, Dominique Kagele, Anna M. Eiring, et al.. (2017). miR-155 promotes FLT3-ITD–induced myeloproliferative disease through inhibition of the interferon response. Blood. 129(23). 3074–3086. 52 indexed citations
2.
Wallace, Jared, Dominique Kagele, Ruozhen Hu, et al.. (2016). MiR-155 Promotes FLT3-ITD-Induced Myeloproliferative Disease through Inhibition of Interferon Signaling. Blood. 128(22). 2853–2853. 1 indexed citations
3.
Alexander, Margaret, Ruozhen Hu, Marah C. Runtsch, et al.. (2015). Exosome-delivered microRNAs modulate the inflammatory response to endotoxin. Nature Communications. 6(1). 7321–7321. 617 indexed citations breakdown →
4.
Runtsch, Marah C., Ruozhen Hu, Margaret Alexander, et al.. (2015). MicroRNA-146a constrains multiple parameters of intestinal immunity and increases susceptibility to DSS colitis. Oncotarget. 6(30). 28556–28572. 46 indexed citations
5.
Hu, Ruozhen, Dominique Kagele, Thomas B. Huffaker, et al.. (2014). miR-155 Promotes T Follicular Helper Cell Accumulation during Chronic, Low-Grade Inflammation. Immunity. 41(4). 605–619. 124 indexed citations
6.
Hu, Ruozhen, Thomas B. Huffaker, Dominique Kagele, et al.. (2013). MicroRNA-155 Confers Encephalogenic Potential to Th17 Cells by Promoting Effector Gene Expression. The Journal of Immunology. 190(12). 5972–5980. 82 indexed citations
7.
Kagele, Dominique, et al.. (2012). Analysis of the interactions of viral and cellular factors with human cytomegalovirus lytic origin of replication, oriLyt. Virology. 424(2). 106–114. 29 indexed citations
8.
Kagele, Dominique, et al.. (2010). Nucleocytoplasmic Shuttling of Human Cytomegalovirus UL84 Is Essential for Virus Growth. Journal of Virology. 84(17). 8484–8494. 17 indexed citations
9.
Kagele, Dominique, et al.. (2009). Interaction of HCMV UL84 with C/EBPα transcription factor binding sites within oriLyt is essential for lytic DNA replication. Virology. 392(1). 16–23. 19 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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