Eva Němcová

630 total citations
24 papers, 477 citations indexed

About

Eva Němcová is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Eva Němcová has authored 24 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Eva Němcová's work include Genetic and phenotypic traits in livestock (8 papers), Effects of Environmental Stressors on Livestock (5 papers) and Animal Behavior and Welfare Studies (4 papers). Eva Němcová is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Effects of Environmental Stressors on Livestock (5 papers) and Animal Behavior and Welfare Studies (4 papers). Eva Němcová collaborates with scholars based in Czechia, India and Poland. Eva Němcová's co-authors include M. Štípková, Ludmila Zavadilová, Tomáš Freiberger, J. Bouška, David Šmajs, Matej Lexa, Hana Grombiříková, Juraj Bosák, Filip Růžička and Jochen B. W. Wolf and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Journal of Chromatography A.

In The Last Decade

Eva Němcová

24 papers receiving 434 citations

Peers

Eva Němcová
Comparison fields: 5 of 87
  • Genetics 185
  • Molecular Biology 102
  • Animal Science and Zoology 97
  • Agronomy and Crop Science 94
  • Infectious Diseases 67
Replace Tao Zheng with:
Tao Zheng New Zealand
Maria Kritsepi‐Konstantinou Greece
Christian Gerspach Switzerland
M. Toman Czechia
Wengui Li China
Elisa Mazzotta Italy
Arianna Miglio Italy
Marcia R. S. Ilha United States
Nobuo TSUNODA Japan
Lennart Bäckström United States
Tao Zheng New Zealand View profile →
Citations per field, relative to Eva Němcová
Eva Němcová · 1×
Citations per year, relative to Eva Němcová
Eva Němcová · 1×

Countries citing papers authored by Eva Němcová

Since Specialization
Citations

This map shows the geographic impact of Eva Němcová'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 Eva Němcová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Němcová more than expected).

Fields of papers citing papers by Eva Němcová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Němcová. 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 Eva Němcová. The network helps show where Eva Němcová may publish in the future.

Co-authorship network of co-authors of Eva Němcová

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Němcová. A scholar is included among the top collaborators of Eva Němcová based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Němcová. Eva Němcová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 79
3 36
4 6
5 7
6 32
7 7
8 26
9 1
10 14
11 8
12 1
13 59
14 11
15 14
16 1
17 24
18 25
19 9
20 9

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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