Daniel Levy

544 citations
13 papers · 392 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases

Papers in

    • Extracellular vesicles in disease 13
    • RNA Interference and Gene Delivery 5
    • Tissue Engineering and Regenerative Medicine 4

Daniel Levy

11 papers receiving 389 citations

Peers

Daniel Levy
Comparison fields: 5 of 57
  • Cancer Research 182
  • Molecular Biology 357
  • Immunology and Allergy 16
  • Genetics 28
  • Rehabilitation 16
Replace Rosaria Tinnirello with:
Rosaria Tinnirello Italy
Alice Baek United States
Antje M. Zickler Sweden
Daniel Xin Zhang Hong Kong
Genevieve E. Melling United Kingdom
Rahim Asghari Iran
Christopher Tricarico United States
Matthew Kang New Zealand
Marieke T. Roefs Netherlands
Daniel Levy relative to Rosaria Tinnirello Italy Rosaria Tinnirello's profile →
Citations per field
00.5×
Rosaria Tinnirello · 1×
Citations per year

Countries citing papers authored by Daniel Levy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019138
2 201949
3 201942
4 202339
5 202231
6 202031
7 202325
8 202118
9 202212
10 20246
11 20241
12 20250
13 20230

About Daniel Levy

Daniel Levy is a scholar working on Molecular Biology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 13 papers that have together received 392 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), RNA Interference and Gene Delivery (5 papers), MicroRNA in disease regulation (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nanoplatforms for cancer theranostics (2 papers), Mesenchymal stem cell research (1 paper), Reproductive System and Pregnancy (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cancer Research (182 citations), Molecular Biology (357 citations), Immunology and Allergy (16 citations), Genetics (28 citations) and Rehabilitation (16 citations). Daniel Levy has collaborated with scholars based in United States and Russia. Frequent co-authors include Steven M. Jay, Stephanie M. Kronstadt, Gerard Marriott, Biao Lü, Annie Kathleen Brown, Wei Chao, Anjana Jeyaram, Sheng Wang, Tek N. Lamichhane and Lin Zou. Their work appears in journals such as Advanced Healthcare Materials, Molecular Therapy, Scientific Reports, ACS Biomaterials Science & Engineering and Advanced Therapeutics.

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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