Aaron Ermel
Impact in
- Microbiology top 5%
- Reproductive tract infections research
-
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in ⓘ
- Epidemiology 28
- Cervical Cancer and HPV Research 27
- Hepatitis B Virus Studies 14
- Surgery 16
- Genital Health and Disease 14
- Co-authors
- Darron R. Brown (22 shared papers)Yan Tong (19 shared papers)Brahim Qadadri (11 shared papers)Marcia L. Shew (8 shared papers)Wanzhu Tu (7 shared papers)Barbara Van Der Pol (6 shared papers)Stephanie N. Taylor (4 shared papers)Leandro Mena (3 shared papers)
- Journals
- BMC Infectious Diseases (3 papers)Journal of Clinical Microbiology (3 papers)Journal of Medical Virology (3 papers)International Journal of STD & AIDS (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesKenyaBotswana
In The Last Decade
Aaron Ermel
33 papers receiving 340 citations
Peers
Comparison fields: 5 of 49
- Microbiology 133
- Epidemiology 247
- Surgery 94
- Obstetrics and Gynecology 15
- Infectious Diseases 30
Countries citing papers authored by Aaron Ermel
This map shows the geographic impact of Aaron Ermel'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 Aaron Ermel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Ermel more than expected).
Fields of papers citing papers by Aaron Ermel
This network shows the impact of papers produced by Aaron Ermel. 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 Aaron Ermel. The network helps show where Aaron Ermel may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Ermel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 49 | |
| 2 | 2015 | 25 | |
| 3 | 2020 | 25 | |
| 4 | 2013 | 23 | |
| 5 | 2010 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2005 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2013 | 6 |
About Aaron Ermel
Aaron Ermel is a scholar working on Epidemiology, Surgery, Microbiology, Oncology and Molecular Biology, having authored 37 papers that have together received 346 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (27 papers), Hepatitis B Virus Studies (14 papers), Genital Health and Disease (14 papers), Reproductive tract infections research (8 papers), Viral-associated cancers and disorders (5 papers), Molecular Biology Techniques and Applications (4 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Microbiology (133 citations), Epidemiology (247 citations), Surgery (94 citations), Obstetrics and Gynecology (15 citations) and Infectious Diseases (30 citations). Aaron Ermel has collaborated with scholars based in United States, Kenya and Botswana. Frequent co-authors include Darron R. Brown, Yan Tong, Brahim Qadadri, Marcia L. Shew, Wanzhu Tu, Barbara Van Der Pol, Stephanie N. Taylor, Leandro Mena, Omenge Orang’o and Cheryl Denski. Their work appears in journals such as BMC Infectious Diseases, Journal of Clinical Microbiology, Journal of Medical Virology, International Journal of STD & AIDS and JAMA Network Open.
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.