Lan Dang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- Angiogenesis and VEGF in Cancer
- Congenital heart defects research
Papers in
-
- Pluripotent Stem Cells Research 5
- Renal and related cancers 2
- Circular RNAs in diseases 2
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Jason E. Fish (6 shared papers)Henry S. Cheng (3 shared papers)Makon‐Sébastien Njock (3 shared papers)Émilie Boudreau (3 shared papers)Andreas Schober (1 shared paper)Maliheh Nazari-Jahantigh (1 shared paper)Myron I. Cybulsky (1 shared paper)Andrew Lau (1 shared paper)
- Journals
- Biomaterials (2 papers)Development (2 papers)The Science of The Total Environment (1 paper)Scientific Reports (1 paper)Microscopy and Microanalysis (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Lan Dang
19 papers receiving 824 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 257
- Molecular Biology 588
- Nephrology 49
- Immunology 120
- Cell Biology 81
Countries citing papers authored by Lan Dang
This map shows the geographic impact of Lan Dang'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 Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Dang more than expected).
Fields of papers citing papers by Lan Dang
This network shows the impact of papers produced by Lan Dang. 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 Dang. The network helps show where Lan Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 224 | |
| 2 | 2013 | 110 | |
| 3 | 2017 | 69 | |
| 4 | 2014 | 61 | |
| 5 | 2013 | 57 | |
| 6 | 2014 | 50 | |
| 7 | 2017 | 46 | |
| 8 | 2020 | 44 | |
| 9 | 2016 | 42 | |
| 10 | 2014 | 26 | |
| 11 | 2017 | 24 | |
| 12 | 2006 | 21 | |
| 13 | 2012 | 14 | |
| 14 | 2006 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | SAR Science Data Processing (SDP) Foundry | 2016 | 1 |
| 20 | 2022 | 0 |
About Lan Dang
Lan Dang is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 835 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), MicroRNA in disease regulation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Renal and related cancers (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (588 citations), Nephrology (49 citations), Immunology (120 citations) and Cell Biology (81 citations). Lan Dang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jason E. Fish, Henry S. Cheng, Makon‐Sébastien Njock, Émilie Boudreau, Andreas Schober, Maliheh Nazari-Jahantigh, Myron I. Cybulsky, Andrew Lau, Mark Roufaiel and Nadiya Khyzha. Their work appears in journals such as Biomaterials, Development, The Science of The Total Environment, Scientific Reports and Microscopy and Microanalysis.
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.