Jonathan P. Smith

2.8k total citations · 1 hit paper
45 papers, 2.0k citations indexed

About

Jonathan P. Smith is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Jonathan P. Smith has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 16 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Jonathan P. Smith's work include Tuberculosis Research and Epidemiology (21 papers), Pneumonia and Respiratory Infections (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). Jonathan P. Smith is often cited by papers focused on Tuberculosis Research and Epidemiology (21 papers), Pneumonia and Respiratory Infections (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). Jonathan P. Smith collaborates with scholars based in United States, United Kingdom and South Africa. Jonathan P. Smith's co-authors include Rom Harré, Luk Van Langenhove, Robert Barsotti, Ricardo A. Burdisso, Julie A. Gazmararian, Shakia T. Hardy, Lauren Hale, Paul A. Baron, Sergey A. Grinshpun and Klaus Willeke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Jonathan P. Smith

39 papers receiving 1.9k citations

Hit Papers

Rethinking Methods in Psychology 1995 2026 2005 2015 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan P. Smith United States 14 398 386 309 277 245 45 2.0k
Stephen L. Schensul United States 21 576 1.4× 286 0.7× 174 0.6× 672 2.4× 244 1.0× 80 1.9k
Nancy Briggs Australia 24 232 0.6× 461 1.2× 341 1.1× 205 0.7× 167 0.7× 120 2.5k
Kilem L. Gwet United States 8 325 0.8× 185 0.5× 188 0.6× 228 0.8× 240 1.0× 10 3.1k
Tae Kyoung Lee United States 26 471 1.2× 623 1.6× 394 1.3× 423 1.5× 226 0.9× 169 2.5k
Grace Yao Taiwan 30 342 0.9× 476 1.2× 553 1.8× 487 1.8× 177 0.7× 101 3.2k
Salvador Chacón Moscoso Spain 19 331 0.8× 550 1.4× 438 1.4× 370 1.3× 343 1.4× 66 2.4k
Jodie B. Ullman United States 17 585 1.5× 770 2.0× 441 1.4× 286 1.0× 288 1.2× 33 1.9k
Wei Pan United States 31 310 0.8× 447 1.2× 371 1.2× 701 2.5× 472 1.9× 143 3.6k
David Morgan Australia 21 453 1.1× 240 0.6× 163 0.5× 367 1.3× 240 1.0× 68 2.5k
Johnny Blair United States 17 606 1.5× 129 0.3× 185 0.6× 292 1.1× 194 0.8× 31 1.7k

Countries citing papers authored by Jonathan P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Smith. 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 Jonathan P. Smith. The network helps show where Jonathan P. Smith may publish in the future.

Co-authorship network of co-authors of Jonathan P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. Smith. A scholar is included among the top collaborators of Jonathan P. Smith 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 Jonathan P. Smith. Jonathan P. Smith 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.
Venkateswaran, Kasthuri, Heather P. McLaughlin, Patrick K. Moonan, et al.. (2025). Phenotypic and genotypic characterization of Mycobacterium tuberculosis pyrazinamide resistance—India, 2018–2020. Frontiers in Microbiology. 15. 1515627–1515627. 1 indexed citations
2.
Bijker, Else M., et al.. (2024). Exhaled breath analysis: A promising triage test for tuberculosis in young children. Tuberculosis. 149. 102566–102566. 1 indexed citations
4.
Smith, Jonathan P., et al.. (2023). Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children. SHILAP Revista de lepidopterología. 2(5). e0000249–e0000249. 5 indexed citations
5.
Oeltmann, John E., Nickolas DeLuca, Jonathan P. Smith, et al.. (2023). Isolation and Quarantine for Coronavirus Disease 2019 in the United States, 2020–2022. Clinical Infectious Diseases. 77(2). 212–219. 3 indexed citations
6.
Moonan, Patrick K., Melissa Nyendak, Vijay Yeldandi, et al.. (2023). Retaining Patients with Drug-Resistant Tuberculosis on Treatment During the COVID-19 Pandemic — Dharavi, Mumbai, India, 2020–2022. MMWR Morbidity and Mortality Weekly Report. 72(12). 304–308. 1 indexed citations
7.
Smith, Jonathan P., et al.. (2023). An ITPA Enzyme with Improved Substrate Selectivity. The Protein Journal. 43(1). 62–71.
8.
Smith, Jonathan P., John E. Oeltmann, Andrew Hill, et al.. (2022). Characterizing tuberculosis transmission dynamics in high-burden urban and rural settings. Scientific Reports. 12(1). 6780–6780. 10 indexed citations
9.
Podewils, Laura Jean, et al.. (2022). Zambia Assessment of Tuberculosis (TB) and HIV in the Mines (ZATHIM): implications for programs and policies. BMC Public Health. 22(1). 791–791. 2 indexed citations
10.
Smith, Jonathan P., Chawangwa Modongo, Patrick K. Moonan, et al.. (2022). Tuberculosis attributed to transmission within healthcare facilities, Botswana—The Kopanyo Study. Infection Control and Hospital Epidemiology. 43(11). 1603–1609. 3 indexed citations
11.
Gazmararian, Julie A. & Jonathan P. Smith. (2020). Role of sleep duration and obesity-related health behaviors in young children. Preventive Medicine Reports. 20. 101199–101199. 2 indexed citations
12.
Smith, Jonathan P., Shakia T. Hardy, Lauren Hale, & Julie A. Gazmararian. (2018). Racial disparities and sleep among preschool aged children: a systematic review. Sleep Health. 5(1). 49–57. 62 indexed citations
13.
Delft, Arne von, Angela Dramowski, Celso Khosa, et al.. (2015). Why healthcare workers are sick of TB. International Journal of Infectious Diseases. 32. 147–151. 55 indexed citations
14.
Dharmadhikari, Ashwin, Jonathan P. Smith, Edward A. Nardell, Gavin Churchyard, & Salmaan Keshavjee. (2013). Aspiring to Zero Tuberculosis Deaths among Southern Africa's Miners: Is There a Way Forward?. International Journal of Health Services. 43(4). 651–664. 12 indexed citations
15.
Biagini, R., Jonathan P. Smith, Barbara A. MacKenzie, et al.. (2005). Simultaneous measurement of specific serum IgG responses to five select agents. Analytical and Bioanalytical Chemistry. 382(4). 1027–1034. 16 indexed citations
17.
Grinshpun, Sergey A., et al.. (2000). MEASUREMENT OF THE SAMPLING EFFICIENCY OF PERSONAL INHALABLE AEROSOL SAMPLERS USING A SIMPLIFIED PROTOCOL. Journal of Aerosol Science. 31(2). 169–179. 25 indexed citations
18.
Grinshpun, Sergey A., et al.. (1998). Performance evaluation of personal aerosol samplers using full-size manikin and simplified torso. Journal of Aerosol Science. 29. S1135–S1136. 2 indexed citations
19.
Smith, Jonathan P., Rom Harré, & Luk Van Langenhove. (1995). Rethinking Methods in Psychology. 1482 indexed citations breakdown →
20.
Smith, Jonathan P., et al.. (1992). Study design for the characterization of aerosols during surgical procedures.. PubMed. 18 Suppl 2. 106–9. 3 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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