Eva Mitrova

3.0k citations
57 papers · 2.3k · h-index 22

Impact in

Papers in

Eva Mitrova

52 papers receiving 2.2k citations

Peers

Eva Mitrova
Comparison fields: 5 of 44
  • Molecular Biology 1.9k
  • Psychiatry and Mental health 84
  • Neurology 40
  • Physiology 60
  • Developmental Neuroscience 6
Replace Anna Krasnianski with:
Anna Krasnianski Germany
Genevieve M Klug Australia
Natividad Cuadrado‐Corrales Spain
Bart Van Everbroeck Belgium
Janis E. Blevins United States
Thomas Blättler Switzerland
P. Smith United Kingdom
Lee Stanyer United Kingdom
Yvonne Cohen United States
Kanta Yanagida Japan
Eva Mitrova relative to Anna Krasnianski Germany Anna Krasnianski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Mitrova

Since Specialization
Citations

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

Fields of papers citing papers by Eva Mitrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Mitrova, 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 Eva Mitrova Line = papers co-authored together Eva Mitrova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005344
2 2005274
3 1999188
4 2015166
5 1990156
6 1998143
7 2012114
8 201493
9 201585
10 200764
11 200964
12
Creutzfeldt-Jakob disease with E200K mutation in Slovakia: characterization and development.
200256
13
Viral infections and their mitigation in experimental immunosuppression.
197551
14 201648
15 200647
16 200243
17 200935
18 202128
19 201226
20 200624

About Eva Mitrova

Eva Mitrova is a scholar working on Molecular Biology, Developmental Neuroscience, Epidemiology, Immunology and Nuclear Energy and Engineering, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (51 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Immunotoxicology and immune responses (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Psychiatry and Mental health (84 citations), Neurology (40 citations), Physiology (60 citations) and Developmental Neuroscience (6 citations). Eva Mitrova has collaborated with scholars based in Slovakia, Germany and Italy. Frequent co-authors include Inga Zerr, Maurizio Pocchiari, Girma Belay, Steven John Collins, Paul Leon Brown, Matthias Schmitz, Ban Hock Toh, L. G. Goldfarb, Annick Alpérovitch and Robert G Will. Their work appears in journals such as European Journal of Epidemiology, Molecular Neurobiology, Journal of Neurology, The Lancet and European Journal of Neurology.

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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