Roberto Quaranta

407 citations
7 papers · 284 · h-index 6

Impact in

    • Pluripotent Stem Cells Research
    • Congenital heart defects research
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
    • MicroRNA in disease regulation

Papers in

    • Pluripotent Stem Cells Research 5
    • CRISPR and Genetic Engineering 4
    • RNA Research and Splicing 2
    • Congenital heart defects research 2
    • Renal and related cancers 1
    • MicroRNA in disease regulation 2

Roberto Quaranta

7 papers receiving 284 citations

Peers

Roberto Quaranta
Comparison fields: 5 of 50
  • Molecular Biology 247
  • Cancer Research 43
  • Aging 4
  • Cardiology and Cardiovascular Medicine 31
  • Cellular and Molecular Neuroscience 23
Replace Koji Nakade with:
Koji Nakade Japan
Yi‐Nan Lee Taiwan
Abir Yamak Canada
Sahar Alimohamadi United States
Wouter Derks Germany
Shuhong Ma China
Rhys J.P. Skelton Australia
Kaleb Lambeth United States
Fugui Zhu China
Hyeona Jeon South Korea
Roberto Quaranta relative to Koji Nakade Japan Koji Nakade's profile →
Citations per field
00.5×1.5×2.4×
Koji Nakade · 1×
Citations per year

Countries citing papers authored by Roberto Quaranta

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Quaranta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201580
2 201569
3 201838
4 201332
5 201832
6 201428
7 20245

About Roberto Quaranta

Roberto Quaranta is a scholar working on Molecular Biology, Cancer Research, Surgery, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 7 papers that have together received 284 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Congenital heart defects research (2 papers), Renal and related cancers (1 paper), Neuroscience and Neural Engineering (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Molecular Biology (247 citations), Cancer Research (43 citations), Aging (4 citations), Cardiology and Cardiovascular Medicine (31 citations) and Cellular and Molecular Neuroscience (23 citations). Roberto Quaranta has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Jyoti Rao, Ilaria Piccini, Boris Greber, Guiscard Seebohm, Marcos J. Araúzo‐Bravo, Hans R. Schöler, Martin J. Pfeiffer, Albrecht Röpke, Juliane P. Schwarz and Silvia Masciarelli. Their work appears in journals such as ACS Chemical Biology, Cell stem cell, Stem Cell Reports, Stem Cells and eLife.

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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