Lei Du‐Cuny
Impact in
-
- Computational Drug Discovery Methods
-
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 3
-
- Computational Drug Discovery Methods 5
- Co-authors
- Shuxing Zhang (12 shared papers)Lu Chen (4 shared papers)Emmanuelle J. Meuillet (8 shared papers)Garth Powis (7 shared papers)Eugene A. Mash (6 shared papers)Zuohe Song (5 shared papers)John Kenneth Morrow (3 shared papers)Nathan T. Ihle (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Cancer Research (2 papers)European Journal of Medicinal Chemistry (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Lei Du‐Cuny
14 papers receiving 442 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 115
- Molecular Biology 333
- Organic Chemistry 85
- Pharmacology 19
- Genetics 22
Countries citing papers authored by Lei Du‐Cuny
This map shows the geographic impact of Lei Du‐Cuny'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 Lei Du‐Cuny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Du‐Cuny more than expected).
Fields of papers citing papers by Lei Du‐Cuny
This network shows the impact of papers produced by Lei Du‐Cuny. 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 Lei Du‐Cuny. The network helps show where Lei Du‐Cuny may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Du‐Cuny, 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 | 66 | |
| 2 | 2008 | 63 | |
| 3 | 2012 | 57 | |
| 4 | 2009 | 48 | |
| 5 | 2011 | 47 | |
| 6 | 2010 | 31 | |
| 7 | 2009 | 30 | |
| 8 | 2007 | 30 | |
| 9 | 2011 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2015 | 21 | |
| 12 | 2009 | 14 | |
| 13 | 2012 | 8 | |
| 14 | 2007 | 3 |
About Lei Du‐Cuny
Lei Du‐Cuny is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pathology and Forensic Medicine, Spectroscopy and Materials Chemistry, having authored 14 papers that have together received 467 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Computational Drug Discovery Methods (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers), Cancer Mechanisms and Therapy (2 papers), Crystallization and Solubility Studies (2 papers), Analytical Chemistry and Chromatography (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Molecular Biology (333 citations), Organic Chemistry (85 citations), Pharmacology (19 citations) and Genetics (22 citations). Lei Du‐Cuny has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Shuxing Zhang, Lu Chen, Emmanuelle J. Meuillet, Garth Powis, Eugene A. Mash, Zuohe Song, John Kenneth Morrow, Nathan T. Ihle, Li Zhou and Sharangdhar S. Phatak. Their work appears in journals such as Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry, Cancer Research, European Journal of Medicinal Chemistry and International Journal of Pharmaceutics.
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.