Lan T.M. Dao
Impact in
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- Cancer-related molecular mechanisms research
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
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- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 6
- Genetics 6
- Mesenchymal stem cell research 6
- Co-authors
- Salvatore Spicuglia (10 shared papers)Denis Puthier (4 shared papers)Nicolas Fernandez (2 shared papers)Aurélien Griffon (3 shared papers)Laurent Vanhille (3 shared papers)Mohamed Belhocine (2 shared papers)Ève-Lyne Mathieu (2 shared papers)Jean‐Christophe Andrau (3 shared papers)
- Journals
- Scientific Reports (3 papers)Nature Communications (2 papers)Cell Reports (1 paper)Transcription (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- VietnamFranceSouth Korea
In The Last Decade
Lan T.M. Dao
23 papers receiving 683 citations
Lan T.M. Dao's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 118
- Molecular Biology 430
- Genetics 82
- Genetics 29
- Immunology 50
Countries citing papers authored by Lan T.M. Dao
This map shows the geographic impact of Lan T.M. Dao'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 Lan T.M. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan T.M. Dao more than expected).
Fields of papers citing papers by Lan T.M. Dao
This network shows the impact of papers produced by Lan T.M. Dao. 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 Lan T.M. Dao. The network helps show where Lan T.M. Dao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan T.M. Dao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 172 | |
| 2 | 2015 | 108 | |
| 3 | Modeling blood-brain barrier formation and cerebral cavernous malformations in human PSC-derived organoids Hit paper breakdown → | 2024 | 86 |
| 4 | 2014 | 75 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 25 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2013 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2025 | 11 | |
| 14 | 2013 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2014 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2015 | 3 |
About Lan T.M. Dao
Lan T.M. Dao is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Oncology, having authored 26 papers that have together received 687 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (6 papers), Mesenchymal stem cell research (6 papers), Immune Cell Function and Interaction (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cancer-related molecular mechanisms research (3 papers), T-cell and B-cell Immunology (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (118 citations), Molecular Biology (430 citations), Genetics (82 citations), Genetics (29 citations) and Immunology (50 citations). Lan T.M. Dao has collaborated with scholars based in Vietnam, France and South Korea. Frequent co-authors include Salvatore Spicuglia, Denis Puthier, Nicolas Fernandez, Aurélien Griffon, Laurent Vanhille, Mohamed Belhocine, Ève-Lyne Mathieu, Jean‐Christophe Andrau, Muhammad Ahmad Maqbool and Guillaume Charbonnier. Their work appears in journals such as Scientific Reports, Nature Communications, Cell Reports, Transcription and Stem Cell Research & Therapy.
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.