Benjamin A. Pinsky

17.6k total citations · 4 hit papers
233 papers, 8.6k citations indexed

About

Benjamin A. Pinsky is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Benjamin A. Pinsky has authored 233 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Infectious Diseases, 79 papers in Epidemiology and 43 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Benjamin A. Pinsky's work include Viral Infections and Vectors (44 papers), SARS-CoV-2 and COVID-19 Research (44 papers) and Mosquito-borne diseases and control (43 papers). Benjamin A. Pinsky is often cited by papers focused on Viral Infections and Vectors (44 papers), SARS-CoV-2 and COVID-19 Research (44 papers) and Mosquito-borne diseases and control (43 papers). Benjamin A. Pinsky collaborates with scholars based in United States, Paraguay and Kenya. Benjamin A. Pinsky's co-authors include Malaya K. Sahoo, Jesse J. Waggoner, Sue Biggins, Niaz Banaei, Elizabeth Robilotti, Stan Deresinski, Catherine A. Hogan, Nigam H. Shah, Ian Brown and David Kim and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Benjamin A. Pinsky

226 papers receiving 8.4k citations

Hit Papers

Rates of Co-infection Between SARS-CoV-2 and Ot... 2015 2026 2018 2022 2020 2015 2017 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin A. Pinsky United States 47 4.5k 2.2k 1.9k 1.9k 846 233 8.6k
David W. Eyre United Kingdom 56 3.8k 0.9× 2.5k 1.1× 2.3k 1.2× 469 0.3× 537 0.6× 180 10.9k
Gary W. Procop United States 55 3.4k 0.8× 3.4k 1.6× 1.2k 0.6× 747 0.4× 456 0.5× 250 8.4k
Alexander L. Greninger United States 49 6.1k 1.4× 2.7k 1.2× 2.1k 1.1× 536 0.3× 762 0.9× 277 10.6k
Gary Wong Canada 53 7.2k 1.6× 2.8k 1.3× 2.0k 1.0× 1.0k 0.5× 383 0.5× 218 11.0k
Jeannette Guarner United States 50 3.5k 0.8× 3.1k 1.4× 1.2k 0.6× 1.2k 0.6× 153 0.2× 206 8.9k
Tadaki Suzuki Japan 39 3.3k 0.7× 1.5k 0.7× 1.3k 0.7× 535 0.3× 380 0.4× 224 6.3k
Maria Rosaria Capobianchi Italy 49 4.6k 1.0× 2.8k 1.3× 1.4k 0.7× 1.9k 1.0× 240 0.3× 396 9.5k
Steven Kleinman United States 56 3.3k 0.7× 4.5k 2.1× 471 0.2× 1.7k 0.9× 238 0.3× 202 14.1k
Krzysztof Pyrć Poland 41 4.4k 1.0× 1.3k 0.6× 1.1k 0.6× 342 0.2× 290 0.3× 140 6.9k
David R. Boulware United States 52 6.8k 1.5× 6.9k 3.2× 1.0k 0.5× 731 0.4× 569 0.7× 294 10.3k

Countries citing papers authored by Benjamin A. Pinsky

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin A. Pinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin A. Pinsky. 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 Benjamin A. Pinsky. The network helps show where Benjamin A. Pinsky may publish in the future.

Co-authorship network of co-authors of Benjamin A. Pinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin A. Pinsky. A scholar is included among the top collaborators of Benjamin A. Pinsky 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 Benjamin A. Pinsky. Benjamin A. Pinsky 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.
Dawes, Brian E., Izabela Maurício de Rezende, Dana Mitzel, et al.. (2025). Rift Valley Fever Virus Infectivity in Milk Stored at a Wide Range of Temperatures. The Journal of Infectious Diseases. 232(4). e661–e670.
2.
Huang, ChunHong, et al.. (2024). Spatial and temporal variation in respiratory syncytial virus (RSV) subtype RNA in wastewater and relation to clinical specimens. mSphere. 9(7). e0022424–e0022424. 7 indexed citations
3.
Relich, Ryan F., Christopher M. Robinson, Malaya K. Sahoo, et al.. (2024). Determination of the cycle threshold value of the Xpert Xpress SARS-CoV-2/Flu/RSV test that corresponds to the presence of infectious SARS-CoV-2 in anterior nasal swabs. Microbiology Spectrum. 12(4). e0390823–e0390823.
4.
Le, Anthony, Manhong Wu, Nicholas Phillips, et al.. (2023). Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2. Frontiers in Microbiology. 13. 1059289–1059289. 4 indexed citations
5.
Lu, Jacky, Abraar Karan, Jorge Salinas, et al.. (2023). Retrospective Screening of Clinical Samples for Monkeypox Virus DNA, California, USA, 2022. Emerging infectious diseases. 29(4). 848–850. 8 indexed citations
6.
7.
Lu, Jacky, Sa Shen, Abraar Karan, et al.. (2023). Prevalence of Mpox (Monkeypox) in patients undergoing STI screening in northern California, April-September 2022. Journal of Clinical Virology. 164. 105493–105493. 10 indexed citations
8.
Murugesan, Kanagavel, Prasanna Jagannathan, Jonathan Altamirano, et al.. (2022). Long-Term Accuracy of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Interferon-γ Release Assay and Its Application in Household Investigation. Clinical Infectious Diseases. 75(1). e314–e321. 7 indexed citations
9.
Doan, Thuy, Malaya K. Sahoo, ChunHong Huang, et al.. (2021). Comprehensive pathogen detection for ocular infections. Journal of Clinical Virology. 136. 104759–104759. 15 indexed citations
10.
Natarajan, Aravind, Alvin Han, Soumaya Zlitni, et al.. (2021). Standardized preservation, extraction and quantification techniques for detection of fecal SARS-CoV-2 RNA. Nature Communications. 12(1). 5753–5753. 21 indexed citations
12.
Hogan, Catherine A., Natasha Garamani, Andrew S. Lee, et al.. (2020). Comparison of the Accula SARS-CoV-2 Test with a Laboratory-Developed Assay for Detection of SARS-CoV-2 RNA in Clinical Nasopharyngeal Specimens. Journal of Clinical Microbiology. 58(8). 53 indexed citations
13.
Ramachandran, Ashwin, Diego A. Huyke, Eesha Sharma, et al.. (2020). Electric field-driven microfluidics for rapid CRISPR-based diagnostics and its application to detection of SARS-CoV-2. Proceedings of the National Academy of Sciences. 117(47). 29518–29525. 244 indexed citations
14.
Hogan, Catherine A., Shangxin Yang, Omai B. Garner, et al.. (2020). Clinical Impact of Metagenomic Next-Generation Sequencing of Plasma Cell-Free DNA for the Diagnosis of Infectious Diseases: A Multicenter Retrospective Cohort Study. Clinical Infectious Diseases. 72(2). 239–245. 184 indexed citations
15.
Hogan, Catherine A., Bryan Stevens, Malaya K. Sahoo, et al.. (2020). High Frequency of SARS-CoV-2 RNAemia and Association With Severe Disease. Clinical Infectious Diseases. 72(9). e291–e295. 67 indexed citations
16.
Kashyap, Sehj, Saurabh Gombar, Steve Yadlowsky, et al.. (2020). Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening. Journal of the American Medical Informatics Association. 27(7). 1026–1131. 11 indexed citations
17.
19.
Zanini, Fabio, Makeda Robinson, Derek Croote, et al.. (2018). Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue. Proceedings of the National Academy of Sciences. 115(52). E12363–E12369. 114 indexed citations
20.
Wang, Taia T., Jaturong Sewatanon, Matthew J. Memoli, et al.. (2017). IgG antibodies to dengue enhanced for FcγRIIIA binding determine disease severity. Science. 355(6323). 395–398. 241 indexed citations breakdown →

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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