E. Muñz

1.3k citations
59 papers · 1.0k · h-index 20

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • Lipid metabolism and biosynthesis

Papers in

    • Poxvirus research and outbreaks 16
    • Herpesvirus Infections and Treatments 10

E. Muñz

54 papers receiving 958 citations

Peers

E. Muñz
Comparison fields: 5 of 100
  • Virology 205
  • Biochemistry 122
  • Plant Science 429
  • Agronomy and Crop Science 87
  • Molecular Biology 379
Replace Can Kaplan with:
Can Kaplan United Kingdom
William E. Severson United States
Haruka Toyoda Japan
Feng Tan China
Luca Zinzula Italy
Ting Wei China
Nawal M. Boukli Puerto Rico
Adrian R. Woolfitt United States
Aloka B. Bandara United States
E. Muñz relative to Can Kaplan United Kingdom Can Kaplan's profile →
Citations per field
00.5×20×40×51×
Can Kaplan · 1×
Citations per year

Countries citing papers authored by E. Muñz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Muñz Line = papers co-authored together E. Muñz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 201784
3 202073
4 201461
5 201759
6
[Changes in the vaccinia virus through continuing passages in chick embryo fibroblast cultures].
196451
7 201746
8
The optimal conditions for the multiplication of Neethling-type lumpy skin disease virus in embryonated eggs.
196942
9 201636
10 197833
11 201729
12 202128
13 202027
14 196326
15 201626
16 197225
17 198624
18 199523
19 201523
20 202123

About E. Muñz

E. Muñz is a scholar working on Virology, Epidemiology, Biochemistry, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (16 papers), Herpesvirus Infections and Treatments (10 papers), Plant nutrient uptake and metabolism (7 papers), Lipid metabolism and biosynthesis (6 papers), Animal Virus Infections Studies (5 papers), Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Virology (205 citations), Biochemistry (122 citations), Plant Science (429 citations), Agronomy and Crop Science (87 citations) and Molecular Biology (379 citations). E. Muñz has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ljudmilla Borisjuk, A. Mayr, H. Mahnel, Maja Reimann, Hardy Rolletschek, Peter M. Jakob, Karen Weiss, Ingrid Renner‐Müller, Kent Dean Chapman and Irina A. Guschina. Their work appears in journals such as New Phytologist, Medical Microbiology and Immunology, Clinical Chemistry, PLANT PHYSIOLOGY and Archives of Virology.

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.

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