Brian Dobosh

915 total citations · 1 hit paper
17 papers, 644 citations indexed

About

Brian Dobosh is a scholar working on Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brian Dobosh has authored 17 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brian Dobosh's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Brian Dobosh is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Brian Dobosh collaborates with scholars based in United States, South Africa and Brazil. Brian Dobosh's co-authors include Rabindra Tirouvanziam, Camilla Margaroli, Amit Gaggar, Gabriel Rezonzew, J. Edwin Blalock, Preston E. Bratcher, Xin Xu, Charitharth Vivek Lal, Liliana Viera and Mark T. Dransfield and has published in prestigious journals such as Cell, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Brian Dobosh

16 papers receiving 636 citations

Hit Papers

Activated PMN Exosomes: Pathogenic Entities Causing Matri... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Dobosh United States 9 402 211 196 90 90 17 644
Natalia C. Rochael Brazil 8 240 0.6× 542 2.6× 82 0.4× 63 0.7× 71 0.8× 12 734
Stephanie Sandefur United States 8 291 0.7× 82 0.4× 99 0.5× 86 1.0× 43 0.5× 12 611
Pankita H. Pandya United States 9 165 0.4× 143 0.7× 82 0.4× 47 0.5× 51 0.6× 20 475
Rahul Kushwah Canada 14 281 0.7× 443 2.1× 102 0.5× 41 0.5× 68 0.8× 27 785
Tomonari Shigemura Japan 14 206 0.5× 255 1.2× 70 0.4× 99 1.1× 60 0.7× 61 596
Ju Ee Seet Singapore 11 143 0.4× 133 0.6× 70 0.4× 75 0.8× 80 0.9× 32 501
Gary Albert United States 8 167 0.4× 171 0.8× 131 0.7× 126 1.4× 32 0.4× 12 607
Kasra Khalaj Canada 16 389 1.0× 751 3.6× 130 0.7× 63 0.7× 199 2.2× 33 1.3k
Sonia Valentino Italy 14 208 0.5× 569 2.7× 77 0.4× 35 0.4× 38 0.4× 23 788
Sergio Roberto Aguilar-Ruíz Mexico 10 135 0.3× 258 1.2× 57 0.3× 56 0.6× 52 0.6× 34 486

Countries citing papers authored by Brian Dobosh

Since Specialization
Citations

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

Fields of papers citing papers by Brian Dobosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Dobosh

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

All Works

17 of 17 papers shown
1.
Auld, Sara C., Artur T. L. Queiroz, Mariana Araújo‐Pereira, et al.. (2025). Inflammatory profiles in sputum and blood of people with TB with and without HIV coinfection. Tuberculosis. 151. 102612–102612.
2.
Hurwitz, Selwyn J., Keivan Zandi, Tamara R. McBrayer, et al.. (2024). Why Certain Repurposed Drugs Are Unlikely to Be Effective Antivirals to Treat SARS-CoV-2 Infections. Viruses. 16(4). 651–651. 3 indexed citations
3.
Kosters, Astrid, Victoria Murray, Gurjot Gill, et al.. (2024). Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19. Science Translational Medicine. 16(772). eadq1789–eadq1789. 5 indexed citations
4.
Bommireddy, Ramireddy, et al.. (2024). Tumor-Intrinsic Enhancer of Zeste Homolog 2 Controls Immune Cell Infiltration, Tumor Growth, and Lung Metastasis in a Triple-Negative Breast Cancer Model. International Journal of Molecular Sciences. 25(10). 5392–5392. 1 indexed citations
5.
Bassit, Leda, Joshua D. Chandler, Natalie S. Haddad, et al.. (2022). Inactivation of SARS-CoV-2 and COVID-19 Patient Samples for Contemporary Immunology and Metabolomics Studies. ImmunoHorizons. 6(2). 144–155. 5 indexed citations
6.
Yang, Junkai, Astrid Kosters, Ximo Pechuan-Jorge, et al.. (2022). Transcriptional reprogramming of infiltrating neutrophils drives lung pathology in severe COVID-19 despite low viral load. Blood Advances. 7(5). 778–799. 19 indexed citations
7.
Dobosh, Brian, Keivan Zandi, Junkai Yang, et al.. (2022). Baricitinib attenuates the proinflammatory phase of COVID-19 driven by lung-infiltrating monocytes. Cell Reports. 39(11). 110945–110945. 11 indexed citations
8.
Margaroli, Camilla, Brian Dobosh, Fangxu Sun, et al.. (2021). Transcriptional firing represses bactericidal activity in cystic fibrosis airway neutrophils. Cell Reports Medicine. 2(4). 100239–100239. 30 indexed citations
9.
Dobosh, Brian, et al.. (2021). Mass production of human airway-like neutrophils via transmigration in an organotypic model of human airways. STAR Protocols. 2(4). 100892–100892. 2 indexed citations
10.
Dobosh, Brian, Keivan Zandi, Junkai Yang, et al.. (2021). Baricitinib Attenuates the Proinflammatory Phase of COVID-19 Driven by Lung-Infiltrating Monocytes. SSRN Electronic Journal. 1 indexed citations
11.
Margaroli, Camilla, Brian Dobosh, Fangxu Sun, et al.. (2020). Broad Transcriptional Firing Represses Bactericidal Activity in Human Airway Neutrophils. SSRN Electronic Journal. 1 indexed citations
12.
Dobosh, Brian, et al.. (2020). Immunomodulation in Cystic Fibrosis: Why and How?. International Journal of Molecular Sciences. 21(9). 3331–3331. 17 indexed citations
13.
Genschmer, Kristopher R., Derek W. Russell, Charitharth Vivek Lal, et al.. (2019). Activated PMN Exosomes: Pathogenic Entities Causing Matrix Destruction and Disease in the Lung. Cell. 176(1-2). 113–126.e15. 336 indexed citations breakdown →
14.
Li, Yingzhong, Brian Teague, Yuan Zhang, et al.. (2019). In vitro evolution of enhanced RNA replicons for immunotherapy. Scientific Reports. 9(1). 6932–6932. 55 indexed citations
15.
Melo, Mariane B., Ely Porter, Yuan Zhang, et al.. (2019). Immunogenicity of RNA Replicons Encoding HIV Env Immunogens Designed for Self-Assembly into Nanoparticles. Molecular Therapy. 27(12). 2080–2090. 65 indexed citations
16.
Grunwell, Jocelyn R., Susan T. Stephenson, Camilla Margaroli, et al.. (2019). Neutrophil Dysfunction in the Airways of Children with Acute Respiratory Failure Due to Lower Respiratory Tract Viral and Bacterial Coinfections. Scientific Reports. 9(1). 2874–2874. 40 indexed citations
17.
Wagner, Tyler, Brian Teague, Xin Zhang, et al.. (2018). Small-molecule-based regulation of RNA-delivered circuits in mammalian cells. Nature Chemical Biology. 14(11). 1043–1050. 53 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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