Jeffrey Eason
Impact in
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
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- Pneumonia and Respiratory Infections
- Respiratory viral infections research
- Hepatitis B Virus Studies
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Hepatitis B Virus Studies 2
- Liver Disease Diagnosis and Treatment 1
- Pneumonia and Respiratory Infections 1
-
- Hepatitis C virus research 1
- Hepatitis Viruses Studies and Epidemiology 1
- Co-authors
- Karen Scherzinger (1 shared paper)Monique A. Foster (1 shared paper)Arthur Reingold (1 shared paper)Matthew R. Moore (1 shared paper)Shelley M. Zansky (1 shared paper)Ramon E. Guevara (1 shared paper)Susan Bohm (1 shared paper)Meghan Barnes (1 shared paper)
- Journals
- The Lancet Respiratory Medicine (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)Annals of Epidemiology (1 paper)
- Partner nations
- United StatesUgandaKenya
In The Last Decade
Jeffrey Eason
4 papers receiving 252 citations
Peers
Comparison fields: 5 of 48
- Hepatology 63
- Epidemiology 190
- Microbiology 32
- Infectious Diseases 34
- Applied Microbiology and Biotechnology 3
Countries citing papers authored by Jeffrey Eason
This map shows the geographic impact of Jeffrey Eason'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 Jeffrey Eason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Eason more than expected).
Fields of papers citing papers by Jeffrey Eason
This network shows the impact of papers produced by Jeffrey Eason. 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 Jeffrey Eason. The network helps show where Jeffrey Eason may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Eason, 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 | 2016 | 154 | |
| 2 | 2018 | 99 | |
| 3 | 2021 | 13 | |
| 4 | Drug Diversion Associated Hepatitis C Investigation and Response, Utah 2015 | 2016 | 1 |
About Jeffrey Eason
Jeffrey Eason is a scholar working on Epidemiology, Hepatology, Infectious Diseases, General Health Professions and Organic Chemistry, having authored 4 papers that have together received 267 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (1 paper), Homelessness and Social Issues (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Pneumonia and Respiratory Infections (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Hepatology (63 citations), Epidemiology (190 citations), Microbiology (32 citations), Infectious Diseases (34 citations) and Applied Microbiology and Biotechnology (3 citations). Jeffrey Eason has collaborated with scholars based in United States, Uganda and Kenya. Frequent co-authors include Karen Scherzinger, Monique A. Foster, Arthur Reingold, Matthew R. Moore, Shelley M. Zansky, Ramon E. Guevara, Susan Bohm, Meghan Barnes, Jim Collins and Bree Barbeau. Their work appears in journals such as The Lancet Respiratory Medicine, MMWR Morbidity and Mortality Weekly Report and Annals of Epidemiology.
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.