Minh T. N. Le

5.0k citations
54 papers · 3.6k indexed · 3 hit papers · h-index 29

Minh T. N. Le

54 papers receiving 3.6k citations

Hit Papers

Advances in D...1322009202620142020100200300400500

Peers

Minh T. N. Le
Comparison fields: 5 of 114
  • Cancer Research 1.9k
  • Molecular Biology 2.8k
  • Condensed Matter Physics 224
  • Immunology 315
  • Developmental Neuroscience 51
Replace M. Castoldi with:
M. Castoldi Germany
Maria‐Magdalena Georgescu United States
Ilya V. Ulasov United States
Yangming Wang China
Luca Primo Italy
Aidan M. Fenix United States
Emilia S. Olson United States
Martina Anton Germany
Heather E. Fleming United States
Yanhua Tian China
Minh T. N. Le relative to M. Castoldi Germany M. Castoldi's profile →
Citations per field
00.5×10.5×
M. Castoldi · 1×
Citations per year

Countries citing papers authored by Minh T. N. Le

Since Specialization
Citations

This map shows the geographic impact of Minh T. N. Le'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 Minh T. N. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minh T. N. Le more than expected).

Fields of papers citing papers by Minh T. N. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh T. N. Le. 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 Minh T. N. Le. The network helps show where Minh T. N. Le may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20243
3 20244
4 202319
5
Advances in Drug Delivery Systems Based on Red Blood Cells and Their Membrane-Derived Nanoparticlesbreakdown →
2023132
6 202212
7 202267
8 202229
9 202244
10 20216
11 202175
12 202118
13 202149
14 202149
15 202066
16 201569
17 2015101
18 201465
19
MicroRNA-125b is a novel negative regulator of p53breakdown →
2009545
20 200521

About Minh T. N. Le

Minh T. N. Le is a scholar working on Cancer Research, Molecular Biology, Condensed Matter Physics, Immunology and Virology, having authored 54 papers that have together received 3.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (28 papers), MicroRNA in disease regulation (23 papers), RNA Interference and Gene Delivery (12 papers), Circular RNAs in diseases (10 papers), RNA Research and Splicing (6 papers), GaN-based semiconductor devices and materials (6 papers), RNA modifications and cancer (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.8k citations), Condensed Matter Physics (224 citations), Immunology (315 citations) and Developmental Neuroscience (51 citations). Minh T. N. Le has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Boya Peng, Ng Shyh‐Chang, Bing Lim, Harvey F. Lodish, Beiyan Zhou, Huangming Xie, Judy Lieberman, Vladimir Korzh, Cathleen Teh and Luyen Tien Vu. Their work appears in journals such as Cell Proliferation, Journal of Extracellular Vesicles, Nature Communications, Electronics Letters and Seminars in Cancer Biology.

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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