Mark Eppinger
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 26
- Vibrio bacteria research studies 7
-
- Viral gastroenteritis research and epidemiology 15
- Co-authors
- Jacques Ravel (17 shared papers)Thomas A. Cebula (6 shared papers)Mark K. Mammel (7 shared papers)Stephan C. Schuster (5 shared papers)Claudia Baar (5 shared papers)J. Eugene LeClerc (3 shared papers)Christa Lanz (4 shared papers)Heike Keller (4 shared papers)
- Journals
- Frontiers in Microbiology (7 papers)Journal of Bacteriology (4 papers)mBio (4 papers)PLoS Genetics (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesGermanyEgypt
In The Last Decade
Mark Eppinger
56 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Endocrinology 766
- Molecular Medicine 355
- Microbiology 221
- Infectious Diseases 416
- Food Science 438
Countries citing papers authored by Mark Eppinger
This map shows the geographic impact of Mark Eppinger'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 Mark Eppinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Eppinger more than expected).
Fields of papers citing papers by Mark Eppinger
This network shows the impact of papers produced by Mark Eppinger. 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 Mark Eppinger. The network helps show where Mark Eppinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Eppinger, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 340 | |
| 2 | 2004 | 315 | |
| 3 | 2003 | 178 | |
| 4 | 2011 | 163 | |
| 5 | 2006 | 145 | |
| 6 | 2009 | 107 | |
| 7 | 2007 | 93 | |
| 8 | 2010 | 82 | |
| 9 | 2004 | 82 | |
| 10 | 2009 | 78 | |
| 11 | 2014 | 72 | |
| 12 | 2011 | 69 | |
| 13 | 2015 | 61 | |
| 14 | 2012 | 51 | |
| 15 | 2019 | 48 | |
| 16 | 2016 | 45 | |
| 17 | 2011 | 34 | |
| 18 | 2015 | 34 | |
| 19 | 2017 | 32 | |
| 20 | 2014 | 30 |
About Mark Eppinger
Mark Eppinger is a scholar working on Endocrinology, Infectious Diseases, Ecology, Molecular Biology and Food Science, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (26 papers), Viral gastroenteritis research and epidemiology (15 papers), Bacteriophages and microbial interactions (15 papers), Salmonella and Campylobacter epidemiology (11 papers), Vibrio bacteria research studies (7 papers), Yersinia bacterium, plague, ectoparasites research (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacillus and Francisella bacterial research (5 papers). The work is most often cited by research in Endocrinology (766 citations), Molecular Medicine (355 citations), Microbiology (221 citations), Infectious Diseases (416 citations) and Food Science (438 citations). Mark Eppinger has collaborated with scholars based in United States, Germany and Egypt. Frequent co-authors include Jacques Ravel, Thomas A. Cebula, Mark K. Mammel, Stephan C. Schuster, Claudia Baar, J. Eugene LeClerc, Christa Lanz, Heike Keller, David A. Rasko and Luther E. Lindler. Their work appears in journals such as Frontiers in Microbiology, Journal of Bacteriology, mBio, PLoS Genetics and PLoS ONE.
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.