Eric Lofgren
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 18
- Infectious Diseases top 2%
- Clostridium difficile and Clostridium perfringens research 12
- Viral Infections and Outbreaks Research 10
- Antimicrobial Resistance in Staphylococcus 8
- Infection Control in Healthcare 6
- Epidemiology top 5%
- Influenza Virus Research Studies 5
- Emergency Medical Services top 5%
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- Nosocomial Infections in ICU 6
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- Bacterial Identification and Susceptibility Testing 5
- Co-authors
- Nina H. FeffermanCaitlin RiversElena N. NaumovaJack GorskiYuri N. NaumovBryan LewisStephen EubankRebekah W. Moehring
- Journals
- Infection Control and Hospital Epidemiology (6 papers)Epidemiology (4 papers)JAMA Network Open (3 papers)
- Partner nations
- United StatesKenyaTanzania
In The Last Decade
Eric Lofgren
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 617
- Infectious Diseases 800
- Applied Microbiology and Biotechnology 62
- Epidemiology 540
- Emergency Medical Services 108
Countries citing papers authored by Eric Lofgren
This map shows the geographic impact of Eric Lofgren'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 Eric Lofgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Lofgren more than expected).
Fields of papers citing papers by Eric Lofgren
This network shows the impact of papers produced by Eric Lofgren. 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 Eric Lofgren. The network helps show where Eric Lofgren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Lofgren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 7 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 47 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 53 | |
| 16 | 2013 | 58 | |
| 17 | 2012 | 6 | |
| 18 | 2011 | 27 | |
| 19 | 2010 | 11 | |
| 20 | 2007 | 94 |
About Eric Lofgren
Eric Lofgren is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology, Infectious Diseases, Critical Care and Intensive Care Medicine and Clinical Biochemistry, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Clostridium difficile and Clostridium perfringens research (12 papers), Viral Infections and Outbreaks Research (10 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Infection Control in Healthcare (6 papers), Nosocomial Infections in ICU (6 papers), Influenza Virus Research Studies (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Modeling and Simulation (617 citations), Infectious Diseases (800 citations), Applied Microbiology and Biotechnology (62 citations), Epidemiology (540 citations) and Emergency Medical Services (108 citations). Eric Lofgren has collaborated with scholars based in United States, Kenya and Tanzania. Frequent co-authors include Nina H. Fefferman, Caitlin Rivers, Elena N. Naumova, Jack Gorski, Yuri N. Naumov, Bryan Lewis, Stephen Eubank, Rebekah W. Moehring, Madhav Marathe and Deverick J. Anderson. Their work appears in journals such as Infection Control and Hospital Epidemiology, Epidemiology, JAMA Network Open, Clinical Infectious Diseases and PLoS Currents.
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.