Corina Nagy

3.6k citations
52 papers · 2.1k · h-index 22

Impact in

Papers in

    • Epigenetics and DNA Methylation 15
    • Extracellular vesicles in disease 8
    • Single-cell and spatial transcriptomics 6
    • RNA modifications and cancer 4
    • Tryptophan and brain disorders 15

Corina Nagy

51 papers receiving 2.1k citations

Peers

Corina Nagy
Comparison fields: 5 of 108
  • Biological Psychiatry 555
  • Behavioral Neuroscience 298
  • Neurology 371
  • Developmental Neuroscience 154
  • Cancer Research 273
Replace Cristiana Cruceanu with:
Cristiana Cruceanu Canada
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Volodymyr Yerko Canada
Orna Issler United States
Stefano Bignotti Italy
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Citations per field
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Cristiana Cruceanu · 1×
Citations per year

Countries citing papers authored by Corina Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Corina Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019295
2 2020290
3 2014230
4 2011118
5 2015114
6 201679
7 202172
8 201271
9 202362
10 201259
11 201758
12 201453
13 201550
14 201544
15 202137
16 202135
17 201733
18 202333
19 201625
20 202023

About Corina Nagy

Corina Nagy is a scholar working on Molecular Biology, Biological Psychiatry, Neurology, Cancer Research and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (15 papers), Epigenetics and DNA Methylation (15 papers), Extracellular vesicles in disease (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Stress Responses and Cortisol (6 papers), Single-cell and spatial transcriptomics (6 papers), MicroRNA in disease regulation (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biological Psychiatry (555 citations), Behavioral Neuroscience (298 citations), Neurology (371 citations), Developmental Neuroscience (154 citations) and Cancer Research (273 citations). Corina Nagy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gustavo Turecki, Naguib Mechawar, Saumeh Saeedi, Sonia Israel, Matthew Suderman, Carl Ernst, Susana G. Torres‐Platas, Malosree Maitra, Moshe Szyf and H. J. Yang. Their work appears in journals such as The International Journal of Neuropsychopharmacology, Molecular Psychiatry, Biological Psychiatry, Nature Neuroscience and Translational Psychiatry.

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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