Agata Levay

1.8k citations
22 papers · 1.5k · h-index 16

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immunotherapy and Immune Responses
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Nuclear Structure and Function

Papers in

    • RNA Interference and Gene Delivery 4
    • Congenital heart defects research 3
    • RNA Research and Splicing 3
    • RNA regulation and disease 3
    • Immunotherapy and Immune Responses 7

Agata Levay

22 papers receiving 1.5k citations

Peers

Agata Levay
Comparison fields: 5 of 81
  • Immunology 417
  • Molecular Biology 765
  • Cardiology and Cardiovascular Medicine 195
  • Epidemiology 294
  • Virology 40
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Florence Boisgérault France
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Citations per field
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Citations per year

Countries citing papers authored by Agata Levay

Since Specialization
Citations

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

Fields of papers citing papers by Agata Levay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007240
2 2005194
3 2007174
4 2010109
5 2013109
6 2008103
7 200682
8 201479
9 200378
10 201568
11 201264
12 201952
13 201149
14 201731
15 201820
16 201519
17 199615
18 199712
19 200310
20 20208

About Agata Levay

Agata Levay is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), RNA Interference and Gene Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Congenital heart defects research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA Research and Splicing (3 papers), RNA regulation and disease (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Immunology (417 citations), Molecular Biology (765 citations), Cardiology and Cardiovascular Medicine (195 citations), Epidemiology (294 citations) and Virology (40 citations). Agata Levay has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Beatriz M. A. Fontoura, Joy Lincoln, Paula A. Faria Waziry, Jan van Deursen, Jost Enninga, Alexey Berezhnoy, Eli Gilboa, Jacqueline D. Peacock, Ge Tao and Yaming Wang. Their work appears in journals such as Cancer Immunology Research, Circulation Research, Cellular Immunology, Cell and Nature Communications.

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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