Tea Berulava

1.6k citations
10 papers · 776 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 1
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 2

Tea Berulava

10 papers receiving 770 citations

Peers

Tea Berulava
Comparison fields: 5 of 62
  • Cancer Research 255
  • Molecular Biology 600
  • Genetics 122
  • Ophthalmology 25
  • Energy Engineering and Power Technology 8
Replace Jin Yu with:
Jin Yu China
Amy Burnside United States
Evanthia Pashos United States
Guoliang Lyu China
Sonia Nizard France
Chen‐Chung Lin United States
Prajnya Ranganath India
Frank Rühle Germany
Marija Volk Slovenia
Tea Berulava relative to Jin Yu China Jin Yu's profile →
Citations per field
00.5×10×12.5×
Jin Yu · 1×
Citations per year

Countries citing papers authored by Tea Berulava

Since Specialization
Citations

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

Fields of papers citing papers by Tea Berulava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019252
2 2010137
3 2015127
4 2009104
5 201255
6 202348
7 202120
8 202117
9 202115
10 20181

About Tea Berulava

Tea Berulava is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 776 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (2 papers), Cardiac Structural Anomalies and Repair (1 paper), Heart Failure Treatment and Management (1 paper), Hormonal Regulation and Hypertension (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (255 citations), Molecular Biology (600 citations), Genetics (122 citations), Ophthalmology (25 citations) and Energy Engineering and Power Technology (8 citations). Tea Berulava has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Bernhard Horsthemke, Sven Rahmann, André Fischer, Rezaul Islam, Markus T. Bohnsack, Susanne Burkhardt, Katherine E. Bohnsack, Karl Toischer, Dawid Lbik and Michael Sacherer. Their work appears in journals such as European Journal of Human Genetics, European Heart Journal, European Journal of Heart Failure, Development and EMBO Molecular Medicine.

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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