Philip M. Polgreen

11.5k total citations · 2 hit papers
289 papers, 7.8k citations indexed

About

Philip M. Polgreen is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philip M. Polgreen has authored 289 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Epidemiology, 112 papers in Infectious Diseases and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philip M. Polgreen's work include Clostridium difficile and Clostridium perfringens research (33 papers), Influenza Virus Research Studies (26 papers) and Antimicrobial Resistance in Staphylococcus (24 papers). Philip M. Polgreen is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (33 papers), Influenza Virus Research Studies (26 papers) and Antimicrobial Resistance in Staphylococcus (24 papers). Philip M. Polgreen collaborates with scholars based in United States, United Kingdom and Chile. Philip M. Polgreen's co-authors include Alberto M. Segre, Susan E. Beekmann, Alessio Signorini, Joseph E. Cavanaugh, Linnea A. Polgreen, Jacob E. Simmering, Forrest D. Nelson, Aaron C. Miller, Yi‐Ling Chen and David M. Pennock and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Philip M. Polgreen

274 papers receiving 7.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

2011 904 citations Alberto M. Segre, Philip M. Polgreen et al. profile →
Seasonal trends in COVID-19 cases, hospitalizations, and mortality in the United States and Europe

2023 83 citations Jacob E. Simmering, Philip M. Polgreen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip M. Polgreen United States	45	3.4k	2.4k	797	740	705	289	7.8k
Preeti Malani United States	39	2.2k 0.6×	2.5k 1.0×	496 0.6×	203 0.3×	717 1.0×	196	8.0k
David N. Fisman Canada	50	3.4k 1.0×	3.7k 1.5×	874 1.1×	396 0.5×	1.4k 2.0×	241	11.8k
Chih‐Cheng Lai Taiwan	44	2.9k 0.9×	4.7k 1.9×	1.3k 1.6×	202 0.3×	639 0.9×	444	12.0k
Daniel B. Jernigan United States	49	5.8k 1.7×	4.7k 1.9×	652 0.8×	251 0.3×	1.6k 2.2×	109	11.0k
André Charlett United Kingdom	51	2.6k 0.8×	3.3k 1.3×	533 0.7×	175 0.2×	718 1.0×	275	9.7k
Nico Nagelkerke United Arab Emirates	56	3.0k 0.9×	3.4k 1.4×	296 0.4×	887 1.2×	1.3k 1.8×	237	10.7k
Marc Aerts Belgium	41	1.8k 0.5×	1.1k 0.5×	448 0.6×	190 0.3×	609 0.9×	227	6.7k
Travis C. Porco United States	52	3.0k 0.9×	2.4k 1.0×	250 0.3×	353 0.5×	2.0k 2.9×	357	9.8k
Philippe Vanhems France	41	3.3k 1.0×	3.2k 1.3×	627 0.8×	196 0.3×	984 1.4×	281	7.7k
Rafael Mikolajczyk Germany	47	4.5k 1.3×	1.3k 0.5×	393 0.5×	522 0.7×	1.7k 2.4×	310	11.3k

Countries citing papers authored by Philip M. Polgreen

Since Specialization

Citations

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

Fields of papers citing papers by Philip M. Polgreen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Polgreen. 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 Philip M. Polgreen. The network helps show where Philip M. Polgreen may publish in the future.

Co-authorship network of co-authors of Philip M. Polgreen

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

All Works

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20 of 20 papers shown

Patel, Payal, Susan E. Beekmann, Philip M. Polgreen, et al.. (2025). Clinician Management Preferences for Clostridioides difficile Infection in Adults: A 2024 Emerging Infections Network Survey. Open Forum Infectious Diseases. 12(7). ofaf335–ofaf335.

Wang, D., Dallas J. Smith, Anastasia S. Lambrou, et al.. (2024). Perceptions and Barriers to Outpatient Antiviral Therapy for COVID-19 and Influenza as Observed by Infectious Disease Specialists in North America: Results of an Emerging Infections Network (EIN) Survey, February 2024. Open Forum Infectious Diseases. 11(12). ofae666–ofae666. 1 indexed citations

Hennessee, Ian, Kaitlin Forsberg, Susan E. Beekmann, et al.. (2024). Candida auris screening practices at healthcare facilities in the United States: An Emerging Infections Network survey. Infection Control and Hospital Epidemiology. 45(6). 766–769. 2 indexed citations

Miller, Aaron C., et al.. (2023). Comparison of Different Antibiotics and the Risk for Community-Associated Clostridioides difficile Infection: A Case–Control Study. Open Forum Infectious Diseases. 10(8). ofad413–ofad413. 37 indexed citations

Miller, Aaron C., et al.. (2023). Diurnal temperature variation and the implications for diagnosis and infectious disease screening: a population-based study. Diagnosis. 11(1). 54–62.

Glowicz, Janet, Emily Landon, Emily Sickbert-Bennett, et al.. (2023). SHEA/IDSA/APIC Practice Recommendation: Strategies to prevent healthcare-associated infections through hand hygiene: 2022 Update. Infection Control and Hospital Epidemiology. 44(3). 355–376. 49 indexed citations

Gundlapalli, Adi V., Susan E. Beekmann, Jefferson M. Jones, et al.. (2023). Use of Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Tests by US Infectious Disease Physicians: Results of an Emerging Infections Network Survey, March 2022. Open Forum Infectious Diseases. 10(3). ofad091–ofad091.

Segre, Alberto M., et al.. (2023). Using Thermal Imaging to Track Cellulitis. Open Forum Infectious Diseases. 10(5). ofad214–ofad214. 7 indexed citations

Miller, Aaron C., et al.. (2022). A clinically-guided unsupervised clustering approach to recommend symptoms of disease associated with diagnostic opportunities. Diagnosis. 10(1). 43–53. 2 indexed citations

10.

Suneja, Manish, Susan E. Beekmann, Gurpreet Dhaliwal, Aaron C. Miller, & Philip M. Polgreen. (2022). Diagnostic delays in infectious diseases. Diagnosis. 9(3). 332–339. 22 indexed citations

11.

Beekmann, Susan E., et al.. (2021). Coronavirus disease 2019 (COVID-19) vaccination preparedness policies in US hospitals. Infection Control and Hospital Epidemiology. 43(9). 1256–1258. 2 indexed citations

12.

Anthony, Chris A., John E. Femino, Aaron C. Miller, et al.. (2020). Diabetic Foot Surveillance Using Mobile Phones and Automated Software Messaging, a Randomized Observational Trial.. PubMed. 40(1). 35–42. 6 indexed citations

13.

Pentella, Michael, Melvin P. Weinstein, Susan E. Beekmann, Philip M. Polgreen, & Richard T. Ellison. (2020). Impact of Changes in Clinical Microbiology Laboratory Location and Ownership on the Practice of Infectious Diseases. Journal of Clinical Microbiology. 58(5). 9 indexed citations

14.

Simmering, Jacob E., Octav Chipara, Elizabeth A. Stone, et al.. (2020). Continuous in-home PM2.5 concentrations of smokers with and without a history of respiratory exacerbations in Iowa, during and after an air purifier intervention. Journal of Exposure Science & Environmental Epidemiology. 30(5). 778–784. 2 indexed citations

15.

Banniettis, Natalie, Susan E. Beekmann, Philip M. Polgreen, et al.. (2018). Management Practices for Methicillin-Resistant Staphylococcus aureus Bacteremia by Adult Infectious Diseases Physicians. Open Forum Infectious Diseases. 5(5). ofy093–ofy093. 5 indexed citations

16.

Lane, Michael, Jonas Marschall, Susan E. Beekmann, et al.. (2014). Outpatient Parenteral Antimicrobial Therapy Practices among Adult Infectious Disease Physicians. Infection Control and Hospital Epidemiology. 35(7). 839–844. 50 indexed citations

17.

Polgreen, Philip M.. (2009). The Use of Twitter to Track Public Concerns about Novel H1N1 Influenza. 1 indexed citations

18.

Polgreen, Philip M.. (2009). A Near-Real-Time Method for Discovering Healthcare Worker Social Networks via Wireless Devices. 2 indexed citations

19.

Stapleton, Jack T., Kara Bennett, R.J. Bosch, Philip M. Polgreen, & Susan Swindells. (2007). Effect of Antiretroviral Therapy and Hepatitis C Co-infection on Changes in Lipid Levels in HIV-Infected Patients 48 Weeks After Initiation of Therapy. HIV Clinical Trials. 8(6). 429–436. 7 indexed citations

20.

Williams, Carolyn, Donna Klinzman, Traci E. Yamashita, et al.. (2004). Persistent GB Virus C Infection and Survival in HIV-Infected Men. New England Journal of Medicine. 350(10). 981–990. 196 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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