Virginia Egea

1.9k citations
25 papers · 1.3k · h-index 17

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Protease and Inhibitor Mechanisms

Papers in

    • MicroRNA in disease regulation 7
    • Protease and Inhibitor Mechanisms 5
    • Wnt/β-catenin signaling in development and cancer 5
    • Cancer-related gene regulation 4

Virginia Egea

24 papers receiving 1.3k citations

Peers

Virginia Egea
Comparison fields: 5 of 87
  • Genetics 448
  • Cancer Research 382
  • Rehabilitation 73
  • Urology 68
  • Molecular Biology 636
Replace Kyung–Rok Yu with:
Kyung–Rok Yu South Korea
Hyun Hwa Cho South Korea
Nathalie Gallay France
Rebecca Pelekanos Australia
Federica Servida Italy
César Trigueros Spain
Anthony S. Perry United States
Simone Pacini Italy
Liming Du China
Leslie J. Fairbairn United Kingdom
Virginia Egea relative to Kyung–Rok Yu South Korea Kyung–Rok Yu's profile →
Citations per field
00.5×1.5×
Kyung–Rok Yu · 1×
Citations per year

Countries citing papers authored by Virginia Egea

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Egea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006430
2 2006133
3 2012120
4 200794
5 200888
6 201070
7 201457
8 200844
9 201436
10 202136
11 200733
12 201530
13 200828
14 201121
15 201519
16 201518
17 201518
18 20239
19 20229
20 20164

About Virginia Egea

Virginia Egea is a scholar working on Cancer Research, Molecular Biology, Genetics, Oncology and Surgery, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), MicroRNA in disease regulation (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Protease and Inhibitor Mechanisms (5 papers), Cancer-related gene regulation (4 papers), Peptidase Inhibition and Analysis (3 papers), Pesticide Exposure and Toxicity (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Genetics (448 citations), Cancer Research (382 citations), Rehabilitation (73 citations), Urology (68 citations) and Molecular Biology (636 citations). Virginia Egea has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Christian Ries, Marianne Jochum, Peter Neth, Marisa Karow, Helmut J. Kolb, Christian Weber, Tanja Popp, Kai Kehe, Stefan Zahler and Donato Santovito. Their work appears in journals such as Cell Death and Disease, Toxicology, Toxicology Letters, Stem Cells and Journal of Molecular and Cellular Cardiology.

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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