Joshua Olson

3.8k total citations · 1 hit paper
53 papers, 2.9k citations indexed

About

Joshua Olson is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joshua Olson has authored 53 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Infectious Diseases and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joshua Olson's work include Antimicrobial Resistance in Staphylococcus (14 papers), Streptococcal Infections and Treatments (13 papers) and Bacterial biofilms and quorum sensing (9 papers). Joshua Olson is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (14 papers), Streptococcal Infections and Treatments (13 papers) and Bacterial biofilms and quorum sensing (9 papers). Joshua Olson collaborates with scholars based in United States, Germany and Sweden. Joshua Olson's co-authors include Victor Nizet, George Sakoulas, Liangfang Zhang, Tamara Escajadillo, Brian T. Luk, Poochit Nonejuie, Qiangzhe Zhang, Soracha Thamphiwatana, Ronnie H. Fang and Ross Corriden and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Joshua Olson

52 papers receiving 2.9k citations

Hit Papers

Macrophage-like nanoparti... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joshua Olson 1.2k 696 682 394 394 53 2.9k
Oleg Krut 1.2k 1.0× 537 0.8× 376 0.6× 574 1.5× 190 0.5× 43 2.6k
Xiaoling Ma 1.6k 1.3× 926 1.3× 377 0.6× 325 0.8× 316 0.8× 116 3.3k
Thomas E. Kehl‐Fie 1.6k 1.4× 860 1.2× 430 0.6× 411 1.0× 382 1.0× 57 3.7k
Naoki Watanabe 1.2k 1.1× 661 0.9× 584 0.9× 473 1.2× 186 0.5× 142 2.8k
Abigail L. Manson 3.1k 2.6× 1.2k 1.7× 554 0.8× 825 2.1× 229 0.6× 62 5.3k
Li Han 1.8k 1.5× 519 0.7× 350 0.5× 545 1.4× 303 0.8× 115 3.7k
Teruo Kirikae 1.5k 1.2× 1.3k 1.9× 1.1k 1.6× 807 2.0× 240 0.6× 191 4.3k
Anthony R. Richardson 1.8k 1.5× 1.2k 1.8× 326 0.5× 308 0.8× 177 0.4× 59 3.1k
Peng Cui 1.4k 1.2× 859 1.2× 408 0.6× 1.0k 2.6× 490 1.2× 112 3.6k
Tadao Hasegawa 1.6k 1.3× 779 1.1× 365 0.5× 377 1.0× 693 1.8× 181 3.4k

Countries citing papers authored by Joshua Olson

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Olson. A scholar is included among the top collaborators of Joshua Olson 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 Joshua Olson. Joshua Olson 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
2.
Hancock, Bryan, Ingrid Cornax, Jason Munguia, et al.. (2025). Anesthetic choice impacts mortality and bacterial clearance in a murine experimental pneumonia model. BMC Infectious Diseases. 25(1). 424–424. 1 indexed citations
3.
Olla, Phillip, et al.. (2024). Promptology: Enhancing Human–AI Interaction in Large Language Models. Information. 15(10). 634–634. 1 indexed citations
4.
Uchiyama, Satoshi, Joshua Olson, Yosuke Morodomi, et al.. (2021). Repurposed drugs block toxin-driven platelet clearance by the hepatic Ashwell-Morell receptor to clear Staphylococcus aureus bacteremia. Science Translational Medicine. 13(586). 33 indexed citations
5.
Katkar, Gajanan D., Vanessa Castillo, Joshua Olson, et al.. (2020). TLR4 signaling and macrophage inflammatory responses are dampened by GIV/Girdin. Proceedings of the National Academy of Sciences. 117(43). 26895–26906. 72 indexed citations
6.
Wozniak, Jacob M., Robert H. Mills, Joshua Olson, et al.. (2020). Mortality Risk Profiling of Staphylococcus aureus Bacteremia by Multi-omic Serum Analysis Reveals Early Predictive and Pathogenic Signatures. Cell. 182(5). 1311–1327.e14. 71 indexed citations
7.
LaRock, Doris L., Jacqueline M. Kimmey, Joshua Olson, et al.. (2020). The Pseudomonas aeruginosa protease LasB directly activates IL-1β. EBioMedicine. 60. 102984–102984. 41 indexed citations
8.
Schwarz, Flavio, Shoib Sarwar Siddiqui, Ismael Secundino, et al.. (2017). Paired Siglec receptors generate opposite inflammatory responses to a human‐specific pathogen. The EMBO Journal. 36(6). 751–760. 62 indexed citations
9.
Patras, Kathryn A., Alison Coady, Joshua Olson, et al.. (2017). Tamm–Horsfall glycoprotein engages human Siglec‐9 to modulate neutrophil activation in the urinary tract. Immunology and Cell Biology. 95(10). 960–965. 26 indexed citations
10.
Escajadillo, Tamara, Joshua Olson, Brian T. Luk, Liangfang Zhang, & Victor Nizet. (2017). A Red Blood Cell Membrane-Camouflaged Nanoparticle Counteracts Streptolysin O-Mediated Virulence Phenotypes of Invasive Group A Streptococcus. Frontiers in Pharmacology. 8. 477–477. 64 indexed citations
11.
Sorg, Robin A., Leo Lin, G. Sander van Doorn, et al.. (2016). Collective Resistance in Microbial Communities by Intracellular Antibiotic Deactivation. PLoS Biology. 14(12). e2000631–e2000631. 114 indexed citations
12.
Lin, Ann E., Federico C. Beasley, Joshua Olson, et al.. (2015). Role of Hypoxia Inducible Factor-1α (HIF-1α) in Innate Defense against Uropathogenic Escherichia coli Infection. PLoS Pathogens. 11(4). e1004818–e1004818. 61 indexed citations
13.
LaRock, Christopher N., Simon Döhrmann, Ross Corriden, et al.. (2015). Group A Streptococcal M1 Protein Sequesters Cathelicidin to Evade Innate Immune Killing. Cell Host & Microbe. 18(4). 471–477. 45 indexed citations
14.
15.
Sakoulas, George, Pamela Moise, Anthony M. Casapao, et al.. (2014). Antimicrobial Salvage Therapy for Persistent Staphylococcal Bacteremia Using Daptomycin Plus Ceftaroline. Clinical Therapeutics. 36(10). 1317–1333. 139 indexed citations
16.
Olson, Joshua, et al.. (2013). HIF-1α influences myeloid cell antigen presentation and response to subcutaneous OVA vaccination. Journal of Molecular Medicine. 91(10). 1199–1205. 41 indexed citations
17.
Sakoulas, George, Cheryl Okumura, Wdee Thienphrapa, et al.. (2013). Nafcillin enhances innate immune-mediated killing of methicillin-resistant Staphylococcus aureus. Journal of Molecular Medicine. 92(2). 139–149. 108 indexed citations
18.
Anderson, Ericka L., et al.. (2013). The Fibrinogen-binding M1 Protein Reduces Pharyngeal Cell Adherence and Colonization Phenotypes of M1T1 Group A Streptococcus. Journal of Biological Chemistry. 289(6). 3539–3546. 26 indexed citations
19.
Alexander, Laura E. Crotty, Stephanie Feldstein, Per Johansson, et al.. (2012). Myeloid cell HIF-1α regulates asthma airway resistance and eosinophil function. Journal of Molecular Medicine. 91(5). 637–644. 54 indexed citations
20.
Laughlin, Andrew J., et al.. (2011). Page Ranking Refinement Using Fuzzy Sets and Logic.. 40–46. 1 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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