Lan T.M. Dao

1.1k total citations · 1 hit paper
25 papers, 640 citations indexed

About

Lan T.M. Dao is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Lan T.M. Dao has authored 25 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Lan T.M. Dao's work include RNA Research and Splicing (7 papers), Mesenchymal stem cell research (6 papers) and Genomics and Chromatin Dynamics (6 papers). Lan T.M. Dao is often cited by papers focused on RNA Research and Splicing (7 papers), Mesenchymal stem cell research (6 papers) and Genomics and Chromatin Dynamics (6 papers). Lan T.M. Dao collaborates with scholars based in Vietnam, France and South Korea. Lan T.M. Dao's co-authors include Salvatore Spicuglia, Denis Puthier, Aurélien Griffon, Laurent Vanhille, Nicolas Fernandez, Mohamed Belhocine, Ève-Lyne Mathieu, Guillaume Charbonnier, Jean‐Christophe Andrau and Muhammad Ahmad Maqbool and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Lan T.M. Dao

23 papers receiving 635 citations

Hit Papers

Modeling blood-brain barrier formation and cerebral caver... 2024 2026 2025 2024 20 40 60

Peers

Lan T.M. Dao
Comparison fields: 5 of 86
  • Molecular Biology 461
  • Cancer Research 129
  • Genetics 84
  • Immunology 55
  • Biomedical Engineering 46
Replace Dekker C. Deacon with:
Dekker C. Deacon United States
Jinmi Choi South Korea
Miriam Gagliardi Italy
Zoltán Simándi Hungary
Guanyi Huang United States
Ita Costello United Kingdom
Veronika Akopian United States
Soheila Sharghi-Namini Singapore
Juliette Delhove United Kingdom
Dekker C. Deacon United States View profile →
Citations per field, relative to Lan T.M. Dao
Lan T.M. Dao · 1×
Citations per year, relative to Lan T.M. Dao
Lan T.M. Dao · 1×

Countries citing papers authored by Lan T.M. Dao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lan T.M. Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Lan T.M. Dao. A scholar is included among the top collaborators of Lan T.M. Dao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan T.M. Dao. Lan T.M. Dao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3
Modeling blood-brain barrier formation and cerebral cavernous malformations in human PSC-derived organoids breakdown →
66
4 8
5 6
6 3
7 22
8 9
9 3
10 18
11 13
12 0
13 8
14 16
15 167
16 107
17 75
18 6
19 9
20 16

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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2026