Danyel Evseev

417 total citations
11 papers, 247 citations indexed

About

Danyel Evseev is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Danyel Evseev has authored 11 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Danyel Evseev's work include interferon and immune responses (9 papers), Influenza Virus Research Studies (6 papers) and Immune Response and Inflammation (5 papers). Danyel Evseev is often cited by papers focused on interferon and immune responses (9 papers), Influenza Virus Research Studies (6 papers) and Immune Response and Inflammation (5 papers). Danyel Evseev collaborates with scholars based in Canada, United States and China. Danyel Evseev's co-authors include Katharine E. Magor, Ximena Fleming-Canepa, Joaquín López-Orozco, Tom C. Hobman, Les P. Nagata, Mohamed Elaish, Robert G. Webster, Lara K. Mahal, Anil Kumar and David H. Evans and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and Frontiers in Microbiology.

In The Last Decade

Danyel Evseev

10 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danyel Evseev Canada	9	131	116	107	72	43	11	247
Ximena Fleming-Canepa Canada	9	215 1.6×	101 0.9×	158 1.5×	64 0.9×	49 1.1×	10	313
Kevin Ciminski Germany	9	83 0.6×	103 0.9×	160 1.5×	73 1.0×	41 1.0×	21	246
Senthil Chinnakannan United Kingdom	10	86 0.7×	82 0.7×	176 1.6×	53 0.7×	22 0.5×	17	273
Lauren E. Gentles United States	6	56 0.4×	156 1.3×	77 0.7×	96 1.3×	16 0.4×	9	259
Lauren C. Aguado United States	7	112 0.9×	61 0.5×	154 1.4×	138 1.9×	27 0.6×	8	331
Junda Zhu China	8	41 0.3×	54 0.5×	95 0.9×	69 1.0×	45 1.0×	13	192
Arthur Wickenhagen United Kingdom	5	54 0.4×	132 1.1×	49 0.5×	73 1.0×	8 0.2×	11	222
Shamika Danzy United States	9	54 0.4×	107 0.9×	231 2.2×	72 1.0×	100 2.3×	14	300
Gyo‐Jin Lim South Korea	9	66 0.5×	69 0.6×	193 1.8×	67 0.9×	83 1.9×	14	265
Honglian Liu China	7	64 0.5×	128 1.1×	134 1.3×	66 0.9×	20 0.5×	14	262

Countries citing papers authored by Danyel Evseev

Since Specialization

Citations

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

Fields of papers citing papers by Danyel Evseev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyel Evseev

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

All Works

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11 of 11 papers shown

1.

Evseev, Danyel, et al.. (2026). Influenza A Virus NS1 Inhibits RIPLET Activation of Duck RIG-I Signaling. Viruses. 18(2). 264–264.

2.

Evseev, Danyel, et al.. (2022). Human coronaviruses disassemble processing bodies. PLoS Pathogens. 18(8). e1010724–e1010724. 17 indexed citations

3.

Airo, Adriana M., Valeria Mancinelli, Danyel Evseev, et al.. (2022). Flavivirus Capsid Proteins Inhibit the Interferon Response. Viruses. 14(5). 968–968. 11 indexed citations

4.

Evseev, Danyel, et al.. (2022). Avian Influenza NS1 Proteins Inhibit Human, but Not Duck, RIG-I Ubiquitination and Interferon Signaling. Journal of Virology. 96(18). e0077622–e0077622. 8 indexed citations

5.

Kumar, Anil, Joaquín López-Orozco, Mohamed Elaish, et al.. (2021). SARS-CoV-2 Nonstructural Protein 1 Inhibits the Interferon Response by Causing Depletion of Key Host Signaling Factors. Journal of Virology. 95(13). e0026621–e0026621. 69 indexed citations

6.

Evseev, Danyel & Katharine E. Magor. (2021). Molecular Evolution of the Influenza A Virus Non-structural Protein 1 in Interspecies Transmission and Adaptation. Frontiers in Microbiology. 12. 693204–693204. 20 indexed citations

7.

Evseev, Danyel, et al.. (2020). Influenza PB1-F2 Inhibits Avian MAVS Signaling. Viruses. 12(4). 409–409. 15 indexed citations

8.

Evseev, Danyel & Katharine E. Magor. (2019). Innate Immune Responses to Avian Influenza Viruses in Ducks and Chickens. Veterinary Sciences. 6(1). 5–5. 62 indexed citations

9.

Evseev, Danyel, et al.. (2018). The core promoter controls basal and inducible expression of duck retinoic acid inducible gene-I (RIG-I). Molecular Immunology. 103. 156–165. 7 indexed citations

10.

Saito, Leina B., Danyel Evseev, Ximena Fleming-Canepa, et al.. (2018). IFN and cytokine responses in ducks to genetically similar H5N1 influenza A viruses of varying pathogenicity. Journal of General Virology. 99(4). 464–474. 26 indexed citations

11.

Fleming-Canepa, Ximena, et al.. (2016). Extensive Allelic Diversity of MHC Class I in Wild Mallard Ducks. The Journal of Immunology. 197(3). 783–794. 12 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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