Dao Ly

949 citations
14 papers · 731 · h-index 7

Impact in

Papers in

    • Pluripotent Stem Cells Research 4
    • Epigenetics and DNA Methylation 2
    • Developmental Biology and Gene Regulation 2
    • CRISPR and Genetic Engineering 1
    • Barrier Structure and Function Studies 2

Dao Ly

14 papers receiving 720 citations

Peers

Dao Ly
Comparison fields: 5 of 79
  • Neurology 118
  • Developmental Neuroscience 47
  • Genetics 65
  • Molecular Biology 405
  • Cancer Research 74
Replace Mario Mauri with:
Mario Mauri Italy
Nina Hagemann Germany
Claire Fabian Germany
Hong‐Chieh Tsai Taiwan
Sonia Paco Spain
Walison Nunes da Silva Brazil
Akop Seksenyan United States
Angela Jiang United States
Ara G. Kaprelyan Bulgaria
Sonja Mertsch Germany
Dao Ly relative to Mario Mauri Italy Mario Mauri's profile →
Citations per field
00.5×1.5×1.9×
Mario Mauri · 1×
Citations per year

Countries citing papers authored by Dao Ly

Since Specialization
Citations

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

Fields of papers citing papers by Dao Ly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004161
2 2020153
3 2018141
4 2018124
5 201071
6 201045
7 201310
8
Molecular events linking cholesterol to Alzheimer's disease and inclusion body myositis in a rabbit model.
20166
9 20246
10 20125
11 20253
12 20162
13 20102
14 20082

About Dao Ly

Dao Ly is a scholar working on Molecular Biology, Neurology, Genetics, Physiology and Cancer Research, having authored 14 papers that have together received 731 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (2 papers), Developmental Biology and Gene Regulation (2 papers), Barrier Structure and Function Studies (2 papers), Mesenchymal stem cell research (2 papers), MicroRNA in disease regulation (2 papers), CRISPR and Genetic Engineering (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Neurology (118 citations), Developmental Neuroscience (47 citations), Genetics (65 citations), Molecular Biology (405 citations) and Cancer Research (74 citations). Dao Ly has collaborated with scholars based in Canada and United States. Frequent co-authors include Marianna Sikorska, Anna Jezierski, P. Roy Walker, Paromita Deb‐Rinker, Mahmud Bani‐Yaghoub, Julie Haukenfrers, Maria Ribecco‐Lutkiewicz, Caroline Sodja, Danica B Stanimirovic and Arsalan S. Haqqani. Their work appears in journals such as Stem Cell Reviews and Reports, Biochemistry and Cell Biology, Fluids and Barriers of the CNS, PLoS ONE and Advanced Science.

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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