Alex Nie
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
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- Computational Drug Discovery Methods
Papers in
-
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 4
- Molecular Biology Techniques and Applications 4
- Genomics, phytochemicals, and oxidative stress 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Michael McMillian (13 shared papers)Zhaoqin Huang (1 shared paper)Sanjukta Ghosh (1 shared paper)Jiyuan An (1 shared paper)Peter G. Lord (7 shared papers)Angelique M. Leone (5 shared papers)J. Brandon Parker (5 shared papers)Lynn Yieh (4 shared papers)
- Journals
- Toxicology and Applied Pharmacology (3 papers)Biochemical Pharmacology (2 papers)Molecular Carcinogenesis (1 paper)Pharmacogenomics (1 paper)Journal of Biopharmaceutical Statistics (1 paper)
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Alex Nie
15 papers receiving 557 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 127
- Computational Theory and Mathematics 211
- Drug Discovery 1
- Molecular Biology 361
- Cancer Research 77
Countries citing papers authored by Alex Nie
This map shows the geographic impact of Alex Nie'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 Alex Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Nie more than expected).
Fields of papers citing papers by Alex Nie
This network shows the impact of papers produced by Alex Nie. 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 Alex Nie. The network helps show where Alex Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Nie, 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 | 2006 | 166 | |
| 2 | 2006 | 123 | |
| 3 | 2004 | 64 | |
| 4 | 2004 | 43 | |
| 5 | 2014 | 37 | |
| 6 | 2007 | 35 | |
| 7 | 2005 | 32 | |
| 8 | 2006 | 22 | |
| 9 | 2006 | 15 | |
| 10 | 2005 | 12 | |
| 11 | 2007 | 12 | |
| 12 | 2006 | 11 | |
| 13 | 2015 | 4 | |
| 14 | 2006 | 2 | |
| 15 | 2011 | 2 |
About Alex Nie
Alex Nie is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 580 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (4 papers), Molecular Biology Techniques and Applications (4 papers), Alcohol Consumption and Health Effects (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Pharmacology (127 citations), Computational Theory and Mathematics (211 citations), Drug Discovery (1 citation), Molecular Biology (361 citations) and Cancer Research (77 citations). Alex Nie has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Michael McMillian, Zhaoqin Huang, Sanjukta Ghosh, Jiyuan An, Peter G. Lord, Angelique M. Leone, J. Brandon Parker, Lynn Yieh, Anton Bittner and Stewart Bryant. Their work appears in journals such as Toxicology and Applied Pharmacology, Biochemical Pharmacology, Molecular Carcinogenesis, Pharmacogenomics and Journal of Biopharmaceutical Statistics.
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.