Eva Barkauskaite

1.3k citations
10 papers · 1.1k indexed · h-index 10

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 5%
    • PARP inhibition in cancer therapy

Papers in

    • Calcium signaling and nucleotide metabolism 5
    • Toxin Mechanisms and Immunotoxins 9

Eva Barkauskaite

10 papers receiving 1.1k citations

Peers

Eva Barkauskaite
Comparison fields: 5 of 72
  • Physiology 280
  • Oncology 882
  • Immunology 462
  • Geriatrics and Gerontology 39
  • Molecular Biology 592
Replace Patricia Verheugd with:
Patricia Verheugd Germany
Orsolya Leidecker United Kingdom
Karla L. H. Feijs Germany
J.G.M. Rack United Kingdom
Mario Leutert Switzerland
Mareike Bütepage Germany
Edward Bartlett United Kingdom
Hector Juarez-Salinas United States
Ian Carter-O’Connell United States
Amanda A. Riccio United States
Eva Barkauskaite relative to Patricia Verheugd Germany Patricia Verheugd's profile →
Citations per field
00.5×2.7×
Patricia Verheugd · 1×
Citations per year

Countries citing papers authored by Eva Barkauskaite

Since Specialization
Citations

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

Fields of papers citing papers by Eva Barkauskaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201576
2 2015212
3 201573
4 201376
5 2013123
6 2013104
7 201238
8 201274
9 201121
10 2011302

About Eva Barkauskaite

Eva Barkauskaite is a scholar working on Physiology, Immunology, Oncology, Geriatrics and Gerontology and Infectious Diseases, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (9 papers), PARP inhibition in cancer therapy (8 papers), Calcium signaling and nucleotide metabolism (5 papers), DNA Repair Mechanisms (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Electrostatic Discharge in Electronics (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (280 citations), Oncology (882 citations), Immunology (462 citations), Geriatrics and Gerontology (39 citations) and Molecular Biology (592 citations). Eva Barkauskaite has collaborated with scholars based in United Kingdom, Croatia and France. Frequent co-authors include Ivan Ahel, Gytis Jankevicius, David Leys, Pierre Lafite, Mark S. Dunstan, Marijan Ahel, Dea Slade, Neil Dixon, Ria Weston and Rosa Morra. Their work appears in journals such as Nature Communications, Molecular Cell, Journal of the American Chemical Society, FEBS Letters and FEBS Journal.

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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