Neda Barjesteh

937 total citations
30 papers, 718 citations indexed

About

Neda Barjesteh is a scholar working on Immunology, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Neda Barjesteh has authored 30 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 13 papers in Epidemiology and 9 papers in Animal Science and Zoology. Recurrent topics in Neda Barjesteh's work include Immune Response and Inflammation (14 papers), Influenza Virus Research Studies (11 papers) and interferon and immune responses (10 papers). Neda Barjesteh is often cited by papers focused on Immune Response and Inflammation (14 papers), Influenza Virus Research Studies (11 papers) and interferon and immune responses (10 papers). Neda Barjesteh collaborates with scholars based in Canada, Iran and Egypt. Neda Barjesteh's co-authors include Shayan Sharif, Michael St. Paul, Éva Nagy, Jennifer T. Brisbin, Douglas C. Hodgins, R. Darren Wood, Shayan Sharif, Khaled Taha-Abdelaziz, Tamiru N. Alkie and Shahriar Behboudi and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Virology.

In The Last Decade

Neda Barjesteh

29 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neda Barjesteh Canada 18 373 249 219 155 112 30 718
Aimie J. Sarson Canada 14 276 0.7× 281 1.1× 207 0.9× 106 0.7× 121 1.1× 16 615
Yuncai Xiao China 17 105 0.3× 134 0.5× 253 1.2× 145 0.9× 263 2.3× 61 739
Phongsakorn Chuammitri Thailand 13 230 0.6× 51 0.2× 172 0.8× 84 0.5× 120 1.1× 56 621
François Lefèvre France 17 161 0.4× 95 0.4× 160 0.7× 169 1.1× 256 2.3× 23 793
Zhiguang Wu United Kingdom 16 313 0.8× 87 0.3× 248 1.1× 70 0.5× 111 1.0× 25 648
Anh Duc Truong Vietnam 16 251 0.7× 135 0.5× 138 0.6× 90 0.6× 169 1.5× 65 711
Hana Štěpánová Czechia 15 176 0.5× 48 0.2× 140 0.6× 140 0.9× 95 0.8× 35 519
Liselotte Rothmann Norup Denmark 16 220 0.6× 92 0.4× 292 1.3× 75 0.5× 71 0.6× 36 589
Nitish Boodhoo Canada 10 158 0.4× 194 0.8× 136 0.6× 74 0.5× 87 0.8× 30 436
Xinyuan Qiao China 17 139 0.4× 86 0.3× 276 1.3× 395 2.5× 287 2.6× 57 872

Countries citing papers authored by Neda Barjesteh

Since Specialization
Citations

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

Fields of papers citing papers by Neda Barjesteh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Barjesteh

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

All Works

20 of 20 papers shown
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Boulianne, Martine, et al.. (2024). Host Immune Response Modulation in Avian Coronavirus Infection: Tracheal Transcriptome Profiling In Vitro and In Vivo. Viruses. 16(4). 605–605. 4 indexed citations
3.
Boulianne, Martine, et al.. (2023). Colonization of the Gastrointestinal Tract of Chicks with Different Bacterial Microbiota Profiles. Animals. 13(16). 2633–2633. 6 indexed citations
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Barjesteh, Neda, Khaled Taha-Abdelaziz, Raveendra R. Kulkarni, & Shayan Sharif. (2019). Innate antiviral responses are induced by TLR3 and TLR4 ligands in chicken tracheal epithelial cells: Communication between epithelial cells and macrophages. Virology. 534. 132–142. 25 indexed citations
7.
Barjesteh, Neda, et al.. (2019). Antiviral responses against chicken respiratory infections: Focus on avian influenza virus and infectious bronchitis virus. Cytokine. 127. 154961–154961. 21 indexed citations
8.
Stacey, Hannah D., et al.. (2018). “Gnothi Seauton”: Leveraging the Host Response to Improve Influenza Virus Vaccine Efficacy. Vaccines. 6(2). 23–23. 10 indexed citations
9.
Shojadoost, Bahram, Raveendra R. Kulkarni, Khaled Taha-Abdelaziz, et al.. (2018). Dietary selenium supplementation enhances antiviral immunity in chickens challenged with low pathogenic avian influenza virus subtype H9N2. Veterinary Immunology and Immunopathology. 207. 62–68. 44 indexed citations
10.
Barjesteh, Neda, Jennifer T. Brisbin, Shahriar Behboudi, Éva Nagy, & Shayan Sharif. (2015). Induction of Antiviral Responses Against Avian Influenza Virus in Embryonated Chicken Eggs with Toll-Like Receptor Ligands. Viral Immunology. 28(4). 192–200. 17 indexed citations
11.
Hodgins, Douglas C., Neda Barjesteh, Michael St. Paul, et al.. (2015). Evaluation of a polysaccharide conjugate vaccine to reduce colonization by Campylobacter jejuni in broiler chickens. BMC Research Notes. 8(1). 204–204. 30 indexed citations
12.
Haq, Kamran, et al.. (2015). Effects of interferon-γ knockdown on vaccine-induced immunity against Marek's disease in chickens.. PubMed. 79(1). 1–7. 14 indexed citations
13.
Paul, Michael St., Neda Barjesteh, Jennifer T. Brisbin, et al.. (2014). Effects of Ligands for Toll-Like Receptors 3, 4, and 21 as Adjuvants on the Immunogenicity of an Avian Influenza Vaccine in Chickens. Viral Immunology. 27(4). 167–173. 28 indexed citations
14.
Alkie, Tamiru N., Michael St. Paul, Neda Barjesteh, Jennifer T. Brisbin, & Shayan Sharif. (2014). Expression profiles of antiviral response genes in chicken bursal cells stimulated with Toll-like receptor ligands. Veterinary Immunology and Immunopathology. 163(3-4). 157–163. 11 indexed citations
15.
Mehrabani-Yeganeh, Hassan, et al.. (2014). The influence of genetic background versus commercial breeding programs on chicken immunocompetence. Poultry Science. 93(1). 77–84. 18 indexed citations
16.
Brujeni, Gholamreza Nikbakht, et al.. (2013). LEI0258 Microsatellite Variability in Khorasan, Marandi, and Arian Chickens. Biochemical Genetics. 51(5-6). 341–349. 22 indexed citations
17.
Haq, Kamran, Sarah K. Wootton, Neda Barjesteh, et al.. (2013). Small Interfering RNA-Mediated Knockdown of Chicken Interferon-γ Expression. Journal of Interferon & Cytokine Research. 33(6). 319–327. 4 indexed citations
18.
Pratt, Scott L., J.C. Rodríguez-Lecompte, H. Echeverry, et al.. (2013). Performance, histomorphology, and Toll-like receptor, chemokine, and cytokine profile locally and systemically in broiler chickens fed diets supplemented with yeast-derived macromolecules. Poultry Science. 92(9). 2299–2310. 38 indexed citations
19.
Paul, Michael St., et al.. (2013). Chicken erythrocytes respond to Toll-like receptor ligands by up-regulating cytokine transcripts. Research in Veterinary Science. 95(1). 87–91. 56 indexed citations
20.
Paul, Michael St., et al.. (2012). Characterization of Chicken Thrombocyte Responses to Toll-Like Receptor Ligands. PLoS ONE. 7(8). e43381–e43381. 78 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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