Long M. Luu
Impact in
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- Genetic Neurodegenerative Diseases
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- DNA and Nucleic Acid Chemistry
- Mitochondrial Function and Pathology
- Advanced biosensing and bioanalysis techniques
- Fungal and yeast genetics research
Papers in
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- RNA Research and Splicing 3
- DNA Repair Mechanisms 2
- Fungal and yeast genetics research 2
- Epigenetics and DNA Methylation 1
- Ubiquitin and proteasome pathways 1
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- Genetic Neurodegenerative Diseases 7
- Co-authors
- Steven C. Zimmerman (7 shared papers)Lien Nguyen (4 shared papers)Ho Yin Edwin Chan (4 shared papers)Shaohong Peng (3 shared papers)Anne M. Baranger (2 shared papers)Chun‐Ho Wong (2 shared papers)Paul J. Hergenrother (2 shared papers)Ju‐Yeon Lee (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Proceedings of the National Academy of Sciences (2 papers)ChemMedChem (1 paper)Journal of Medicinal Chemistry (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Long M. Luu
8 papers receiving 326 citations
Peers
Comparison fields: 5 of 40
- Cellular and Molecular Neuroscience 120
- Molecular Biology 285
- Genetics 16
- Cardiology and Cardiovascular Medicine 31
- Neurology 20
Countries citing papers authored by Long M. Luu
This map shows the geographic impact of Long M. Luu'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 Long M. Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long M. Luu more than expected).
Fields of papers citing papers by Long M. Luu
This network shows the impact of papers produced by Long M. Luu. 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 Long M. Luu. The network helps show where Long M. Luu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long M. Luu, 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 | 96 | |
| 2 | 2014 | 83 | |
| 3 | 2013 | 47 | |
| 4 | 2019 | 41 | |
| 5 | 2016 | 31 | |
| 6 | 2023 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2021 | 7 |
About Long M. Luu
Long M. Luu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cardiology and Cardiovascular Medicine and Oncology, having authored 8 papers that have together received 328 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Fungal and yeast genetics research (2 papers), Cancer-related Molecular Pathways (1 paper), Epigenetics and DNA Methylation (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (120 citations), Molecular Biology (285 citations), Genetics (16 citations), Cardiology and Cardiovascular Medicine (31 citations) and Neurology (20 citations). Long M. Luu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Steven C. Zimmerman, Lien Nguyen, Ho Yin Edwin Chan, Shaohong Peng, Anne M. Baranger, Chun‐Ho Wong, Paul J. Hergenrother, Ju‐Yeon Lee, Amin Haghighat Jahromi and Yuan Fu. Their work appears in journals such as Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, ChemMedChem, Journal of Medicinal Chemistry and Biochemistry.
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.