Hanh Le
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Plant Science top 10%
- Plant Virus Research Studies
Papers in
-
- Hormonal and reproductive studies 4
- Co-authors
- Daniel GallieKaren BrowningRobert L. TanguayKimberly K. McFannMarc R. BlackmanJulia T. ArnoldAnneke M. MetzDixie J. Goss
- Journals
- Journal of Biological Chemistry (4 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Genes & Development (1 paper)Journal of Structural Biology (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesVietnam
In The Last Decade
Hanh Le
17 papers receiving 1000 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 696
- Plant Science 276
- Endocrinology, Diabetes and Metabolism 123
- Endocrinology 36
- Cardiology and Cardiovascular Medicine 120
Countries citing papers authored by Hanh Le
This map shows the geographic impact of Hanh 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 Hanh Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanh Le more than expected).
Fields of papers citing papers by Hanh Le
This network shows the impact of papers produced by Hanh 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 Hanh Le. The network helps show where Hanh Le may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanh 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 | 2021 | 0 | |
| 2 | Discovery of Two, Structurally Distinct Agonists of Vibrio cholerae Quorum Sensing Acting via the CqsS Membrane Receptor | 2013 | 1 |
| 3 | Identification of a small molecule that selectively inhibits alpha-synuclein translational expression | 2011 | 7 |
| 4 | 2008 | 41 | |
| 5 | 2007 | 43 | |
| 6 | 2005 | 55 | |
| 7 | 2005 | 69 | |
| 8 | 2004 | 93 | |
| 9 | 2000 | 84 | |
| 10 | 2000 | 10 | |
| 11 | 1998 | 34 | |
| 12 | 1998 | 111 | |
| 13 | 1998 | 38 | |
| 14 | 1998 | 37 | |
| 15 | 1997 | 42 | |
| 16 | 1997 | 99 | |
| 17 | 1997 | 230 | |
| 18 | 1997 | 29 |
About Hanh Le
Hanh Le is a scholar working on Endocrinology, Diabetes and Metabolism, Biotechnology, Endocrinology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (6 papers), Hormonal and reproductive studies (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Estrogen and related hormone effects (3 papers), Prostate Cancer Treatment and Research (3 papers), RNA regulation and disease (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Molecular Biology (696 citations), Plant Science (276 citations), Endocrinology, Diabetes and Metabolism (123 citations), Endocrinology (36 citations) and Cardiology and Cardiovascular Medicine (120 citations). Hanh Le has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Daniel Gallie, Karen Browning, Robert L. Tanguay, Kimberly K. McFann, Marc R. Blackman, Julia T. Arnold, Anneke M. Metz, Dixie J. Goss, Chin‐Chuan Wei and Paul K. Hansma. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Genes & Development, Journal of Structural Biology and The Prostate.
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.