M. E. Soergel
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in ⓘ
-
- Viral gastroenteritis research and epidemiology 12
- Ecology 10
- Bacteriophages and microbial interactions 10
- Co-authors
- Frederick L. Schaffer (19 shared papers)P. C. Loh (3 shared papers)A. J. Hackett (1 shared paper)Philip C. Loh (2 shared papers)Herbert A. Wenner (3 shared papers)Paul Kamitsuka (3 shared papers)Hans R. Hohl (1 shared paper)A. W. Smith (1 shared paper)
- Journals
- Archives of Virology (5 papers)American Journal of Epidemiology (3 papers)Virology (3 papers)Journal of Bacteriology (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
M. E. Soergel
28 papers receiving 525 citations
Peers
Comparison fields: 5 of 77
- Modeling and Simulation 93
- Infectious Diseases 319
- Animal Science and Zoology 172
- Epidemiology 189
- Agronomy and Crop Science 48
Countries citing papers authored by M. E. Soergel
This map shows the geographic impact of M. E. Soergel'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 M. E. Soergel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. E. Soergel more than expected).
Fields of papers citing papers by M. E. Soergel
This network shows the impact of papers produced by M. E. Soergel. 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 M. E. Soergel. The network helps show where M. E. Soergel may publish in the future.
Co-authors
The 25 scholars most cited alongside M. E. Soergel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 234 | |
| 2 | 1980 | 55 | |
| 3 | 1985 | 44 | |
| 4 | 1968 | 41 | |
| 5 | 1965 | 26 | |
| 6 | 1961 | 22 | |
| 7 | 1965 | 19 | |
| 8 | 1976 | 18 | |
| 9 | 1973 | 18 | |
| 10 | 1978 | 17 | |
| 11 | 1972 | 13 | |
| 12 | 1971 | 10 | |
| 13 | 1975 | 10 | |
| 14 | 1967 | 8 | |
| 15 | 1976 | 8 | |
| 16 | 1982 | 8 | |
| 17 | 1972 | 7 | |
| 18 | 1971 | 6 | |
| 19 | 1967 | 6 | |
| 20 | 1960 | 6 |
About M. E. Soergel
M. E. Soergel is a scholar working on Infectious Diseases, Ecology, Animal Science and Zoology, Genetics and Molecular Biology, having authored 28 papers that have together received 605 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Bacteriophages and microbial interactions (10 papers), Animal Virus Infections Studies (9 papers), Virus-based gene therapy research (5 papers), Virology and Viral Diseases (4 papers), Molecular Biology Techniques and Applications (3 papers), Viral Infections and Immunology Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Modeling and Simulation (93 citations), Infectious Diseases (319 citations), Animal Science and Zoology (172 citations), Epidemiology (189 citations) and Agronomy and Crop Science (48 citations). M. E. Soergel has collaborated with scholars based in United States and France. Frequent co-authors include Frederick L. Schaffer, P. C. Loh, A. J. Hackett, Philip C. Loh, Herbert A. Wenner, Paul Kamitsuka, Hans R. Hohl, A. W. Smith, W. D. Cubitt and John W. Black. Their work appears in journals such as Archives of Virology, American Journal of Epidemiology, Virology, Journal of Bacteriology and Journal of Clinical Microbiology.
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.