Daniel D. Le
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
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- PI3K/AKT/mTOR signaling in cancer
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
Papers in
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- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
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- Evolution and Paleontology Studies 2
- Co-authors
- Danica Galonić Fujimori (3 shared papers)Marco Di Antonio (1 shared paper)Louis K. M. Chan (1 shared paper)Shankar Balasubramanian (1 shared paper)Roger Williams (1 shared paper)Benjamin T. Houseman (1 shared paper)Matthias Schwarz (1 shared paper)Olusegun Williams (1 shared paper)
- Journals
- Journal of Parasitology (2 papers)Nature Chemical Biology (1 paper)The Journal of Organic Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel D. Le
11 papers receiving 543 citations
Peers
Comparison fields: 5 of 70
- Genetics 96
- Molecular Biology 454
- Parasitology 19
- Organic Chemistry 83
- Oncology 45
Countries citing papers authored by Daniel D. Le
This map shows the geographic impact of Daniel D. 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 Daniel D. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Le more than expected).
Fields of papers citing papers by Daniel D. Le
This network shows the impact of papers produced by Daniel D. 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 Daniel D. Le. The network helps show where Daniel D. Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Le, 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 | 2010 | 225 | |
| 2 | 2015 | 94 | |
| 3 | 2018 | 51 | |
| 4 | 2013 | 45 | |
| 5 | 2015 | 45 | |
| 6 | 2012 | 34 | |
| 7 | 2020 | 21 | |
| 8 | 1998 | 18 | |
| 9 | 1996 | 15 | |
| 10 | 2024 | 9 | |
| 11 | 2008 | 1 |
About Daniel D. Le
Daniel D. Le is a scholar working on Molecular Biology, Paleontology, Organic Chemistry, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 558 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Evolution and Paleontology Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Vector-borne infectious diseases (1 paper), Trypanosoma species research and implications (1 paper), Parasite Biology and Host Interactions (1 paper) and Radical Photochemical Reactions (1 paper). The work is most often cited by research in Genetics (96 citations), Molecular Biology (454 citations), Parasitology (19 citations), Organic Chemistry (83 citations) and Oncology (45 citations). Daniel D. Le has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Danica Galonić Fujimori, Marco Di Antonio, Louis K. M. Chan, Shankar Balasubramanian, Roger Williams, Benjamin T. Houseman, Matthias Schwarz, Olusegun Williams, Simon Miller and Wai‐Ching Hon. Their work appears in journals such as Journal of Parasitology, Nature Chemical Biology, The Journal of Organic Chemistry, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.