Joshua C. Eby

1.0k total citations
28 papers, 701 citations indexed

About

Joshua C. Eby is a scholar working on Microbiology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Joshua C. Eby has authored 28 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Microbiology, 8 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Joshua C. Eby's work include Bacterial Infections and Vaccines (11 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Joshua C. Eby is often cited by papers focused on Bacterial Infections and Vaccines (11 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Joshua C. Eby collaborates with scholars based in United States, Netherlands and Canada. Joshua C. Eby's co-authors include Erik L. Hewlett, Mary C. Gray, Benjamin D. Kozower, Alejandro Bribriesco, Fabien Maldonado, David R. Jones, Patrick W. Eiken, K. Robert Shen, Traves D. Crabtree and Shaf Keshavjee and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Infectious Diseases and Journal of Cell Science.

In The Last Decade

Joshua C. Eby

28 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua C. Eby United States 14 212 208 189 186 125 28 701
Herbert P. Ludewick Australia 14 97 0.5× 139 0.7× 571 3.0× 110 0.6× 268 2.1× 28 785
Youssif M. Ali United Kingdom 13 103 0.5× 48 0.2× 162 0.9× 149 0.8× 159 1.3× 23 828
Diane Gosselin Canada 15 33 0.2× 281 1.4× 112 0.6× 268 1.4× 104 0.8× 24 1.0k
S.G.B. Heckenberg Netherlands 10 564 2.7× 66 0.3× 514 2.7× 70 0.4× 97 0.8× 14 833
Huifeng Fan China 14 52 0.2× 68 0.3× 223 1.2× 79 0.4× 101 0.8× 42 480
Yanping Gong China 13 39 0.2× 28 0.1× 257 1.4× 120 0.6× 145 1.2× 24 696
Anne J. M. Loonen Netherlands 11 22 0.1× 60 0.3× 349 1.8× 180 1.0× 161 1.3× 16 770
Jan Ripper Germany 10 101 0.5× 145 0.7× 225 1.2× 78 0.4× 222 1.8× 14 463
Qiaoling Ruan China 13 53 0.3× 48 0.2× 385 2.0× 89 0.5× 463 3.7× 37 726
Paul J. Baker Australia 13 52 0.2× 68 0.3× 111 0.6× 734 3.9× 117 0.9× 20 1.0k

Countries citing papers authored by Joshua C. Eby

Since Specialization
Citations

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

Fields of papers citing papers by Joshua C. Eby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua C. Eby

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua C. Eby. A scholar is included among the top collaborators of Joshua C. Eby 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 C. Eby. Joshua C. Eby 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
1.
Elwood, Sarah, et al.. (2025). Early initiation of ceftaroline-based combination therapy for methicillin-resistant Staphylococcus aureus bacteremia. Annals of Clinical Microbiology and Antimicrobials. 24(1). 3–3. 1 indexed citations
2.
Madaline, Theresa, David C. Classen, & Joshua C. Eby. (2024). Building the Future of Infectious Diseases: A Call to Action for Quality Improvement Research and Measurement. The Journal of Infectious Diseases. 230(5). 1064–1072. 1 indexed citations
3.
Smirnov, Asya, Kylene P. Daily, Mary C. Gray, et al.. (2023). Phagocytosis via complement receptor 3 enables microbes to evade killing by neutrophils. Journal of Leukocyte Biology. 114(1). 1–20. 14 indexed citations
4.
Thomas, Tania A., et al.. (2023). First-Dose Antimicrobial Infusion Reactions in Patients Enrolled in Outpatient Parenteral Antimicrobial Therapy Services. Open Forum Infectious Diseases. 10(6). ofad239–ofad239. 1 indexed citations
5.
O’Connor, Lauren, et al.. (2023). Risk Factors for Severe COVID-19 Among Health Care Workers. Journal of Occupational and Environmental Medicine. 65(6). 529–532. 1 indexed citations
6.
Eby, Joshua C., et al.. (2022). Influence of critically appraising exemption requests from healthcare personnel along a spectrum of influenza vaccine hesitancy. Infection Control and Hospital Epidemiology. 43(11). 1672–1678. 2 indexed citations
7.
Heysell, Scott K., et al.. (2021). Adenosine deaminase negative pleural tuberculosis: a case report. BMC Infectious Diseases. 21(1). 575–575. 5 indexed citations
8.
Wong, Ting Y., Laura A. Gonyar, Erik L. Hewlett, et al.. (2019). Analysis of the In Vivo Transcriptome of Bordetella pertussis during Infection of Mice. mSphere. 4(2). 21 indexed citations
9.
Gonyar, Laura A., Alexander F. Koeppel, Qing Chen, et al.. (2019). In Vivo Gene Essentiality and Metabolism in Bordetella pertussis. mSphere. 4(3). 22 indexed citations
10.
Eby, Joshua C., Michael Lane, Michael A. Horberg, et al.. (2018). How Do You Measure Up: Quality Measurement for Improving Patient Care and Establishing the Value of Infectious Diseases Specialists. Clinical Infectious Diseases. 68(11). 1946–1951. 5 indexed citations
11.
Gray, Megan, et al.. (2018). The effect of rapid diagnostic testing with Infectious Diseases fellow consultative intervention on the management of enterococcal bloodstream infection. Diagnostic Microbiology and Infectious Disease. 92(4). 319–324. 3 indexed citations
12.
Townsend, Gregory C., et al.. (2018). Management of a Mycobacterium immunogenum infection of a peritoneal dialysis catheter site. Infection. 46(6). 875–880. 5 indexed citations
13.
14.
Eby, Joshua C., Mary C. Gray, Jason M. Warfel, Tod J. Merkel, & Erik L. Hewlett. (2016). Use of a Toxin Neutralization Assay To Characterize the Serologic Response to Adenylate Cyclase Toxin after Infection with Bordetella pertussis. Clinical and Vaccine Immunology. 24(1). 7 indexed citations
15.
Eby, Joshua C., et al.. (2015). Review of the neutrophil response toBordetella pertussisinfection. Pathogens and Disease. 73(9). ftv081–ftv081. 21 indexed citations
16.
Eby, Joshua C., et al.. (2011). Role of CD11b/CD18 in the Process of Intoxication by the Adenylate Cyclase Toxin of Bordetella pertussis. Infection and Immunity. 80(2). 850–859. 20 indexed citations
17.
Eby, Joshua C., et al.. (2010). Selective Translocation of the Bordetella pertussis Adenylate Cyclase Toxin across the Basolateral Membranes of Polarized Epithelial Cells. Journal of Biological Chemistry. 285(14). 10662–10670. 34 indexed citations
18.
Eby, Joshua C., et al.. (2008). Fatal Mycobacterium tuberculosis Infection in a Lung Transplant Recipient. The Journal of Heart and Lung Transplantation. 27(10). 1176–1178. 10 indexed citations
19.
Smythe, Gayle M., Joshua C. Eby, Marie‐Hélène Disatnik, & Thomas A. Rando. (2003). A caveolin-3 mutant that causes limb girdle muscular dystrophy type 1C disrupts Src localization and activity and induces apoptosis in skeletal myotubes. Journal of Cell Science. 116(23). 4739–4749. 53 indexed citations
20.

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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