Lance D. Eckerle
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 2
-
- Plant Virus Research Studies 7
- Co-authors
- Mark R. Denison (9 shared papers)Rachel L. Graham (6 shared papers)Ralph S. Baric (5 shared papers)Xiaotao Lu (3 shared papers)L. Andrew Ball (6 shared papers)Eric Donaldson (2 shared papers)Michelle M. Becker (3 shared papers)Steven M. Sperry (2 shared papers)
- Journals
- Virology (5 papers)Journal of Virology (3 papers)RNA Biology (1 paper)Virus Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Lance D. Eckerle
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 1000
- Animal Science and Zoology 435
- Modeling and Simulation 46
- Cardiology and Cardiovascular Medicine 139
- Plant Science 259
Countries citing papers authored by Lance D. Eckerle
This map shows the geographic impact of Lance D. Eckerle'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 Lance D. Eckerle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance D. Eckerle more than expected).
Fields of papers citing papers by Lance D. Eckerle
This network shows the impact of papers produced by Lance D. Eckerle. 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 Lance D. Eckerle. The network helps show where Lance D. Eckerle may publish in the future.
Co-authors
The 22 scholars most cited alongside Lance D. Eckerle, 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 | 2010 | 343 | |
| 2 | 2011 | 342 | |
| 3 | 2007 | 257 | |
| 4 | 2012 | 186 | |
| 5 | 2007 | 107 | |
| 6 | 2004 | 52 | |
| 7 | 2002 | 48 | |
| 8 | 2001 | 40 | |
| 9 | 2003 | 30 | |
| 10 | 2004 | 24 | |
| 11 | 2003 | 20 | |
| 12 | 2010 | 20 | |
| 13 | 2006 | 14 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2003 | 2 |
About Lance D. Eckerle
Lance D. Eckerle is a scholar working on Infectious Diseases, Plant Science, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Animal Virus Infections Studies (6 papers), Mosquito-borne diseases and control (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Virology and Viral Diseases (2 papers), Viral Infections and Immunology Research (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (1000 citations), Animal Science and Zoology (435 citations), Modeling and Simulation (46 citations), Cardiology and Cardiovascular Medicine (139 citations) and Plant Science (259 citations). Lance D. Eckerle has collaborated with scholars based in United States and France. Frequent co-authors include Mark R. Denison, Rachel L. Graham, Ralph S. Baric, Xiaotao Lu, L. Andrew Ball, Eric Donaldson, Michelle M. Becker, Steven M. Sperry, Leena Choi and Meagan Bolles. Their work appears in journals such as Virology, Journal of Virology, RNA Biology, Virus Research and Nature Medicine.
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.