E. Muñz
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
- Virology 16
- Poxvirus research and outbreaks 16
- Co-authors
- Ljudmilla Borisjuk (13 shared papers)A. Mayr (4 shared papers)Maja Reimann (16 shared papers)H. Mahnel (6 shared papers)Hardy Rolletschek (8 shared papers)Peter M. Jakob (6 shared papers)Ingrid Renner‐Müller (6 shared papers)Kent D. Chapman (2 shared papers)
- Journals
- New Phytologist (4 papers)PLANT PHYSIOLOGY (2 papers)Medical Microbiology and Immunology (2 papers)Clinical Chemistry (2 papers)Zeitschrift für Medizinische Physik (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
E. Muñz
53 papers receiving 816 citations
Peers
Comparison fields: 5 of 93
- Virology 189
- Biochemistry 93
- Plant Science 390
- Agronomy and Crop Science 83
- Epidemiology 172
Countries citing papers authored by E. Muñz
This map shows the geographic impact of E. Muñz'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 E. Muñz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Muñz more than expected).
Fields of papers citing papers by E. Muñz
This network shows the impact of papers produced by E. Muñz. 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 E. Muñz. The network helps show where E. Muñz may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Muñz, 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 | 2020 | 89 | |
| 2 | 2017 | 76 | |
| 3 | 2014 | 56 | |
| 4 | 2017 | 53 | |
| 5 | [Changes in the vaccinia virus through continuing passages in chick embryo fibroblast cultures]. | 1964 | 50 |
| 6 | 2017 | 39 | |
| 7 | The optimal conditions for the multiplication of Neethling-type lumpy skin disease virus in embryonated eggs. | 1969 | 37 |
| 8 | 2016 | 33 | |
| 9 | 1978 | 31 | |
| 10 | 2017 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 1995 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2015 | 22 | |
| 16 | 1986 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 1972 | 21 | |
| 19 | 1997 | 18 | |
| 20 | 1990 | 17 |
About E. Muñz
E. Muñz is a scholar working on Molecular Biology, Virology, Epidemiology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 866 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (16 papers), Herpesvirus Infections and Treatments (9 papers), Plant nutrient uptake and metabolism (7 papers), Virus-based gene therapy research (6 papers), Lipid metabolism and biosynthesis (5 papers), Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Virology (189 citations), Biochemistry (93 citations), Plant Science (390 citations), Agronomy and Crop Science (83 citations) and Epidemiology (172 citations). E. Muñz has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ljudmilla Borisjuk, A. Mayr, Maja Reimann, H. Mahnel, Hardy Rolletschek, Peter M. Jakob, Ingrid Renner‐Müller, Kent D. Chapman, Karen Weiss and Irina A. Guschina. Their work appears in journals such as New Phytologist, PLANT PHYSIOLOGY, Medical Microbiology and Immunology, Clinical Chemistry and Zeitschrift für Medizinische Physik.
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.