Suzanne Skolnik
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
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- Computational Drug Discovery Methods
Papers in
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- Drug Solubulity and Delivery Systems 7
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- Computational Drug Discovery Methods 6
- Co-authors
- Jianling Wang (5 shared papers)Xuena Lin (3 shared papers)Xiaohong Chen (3 shared papers)Jianling Wang (1 shared paper)Timothy He (1 shared paper)Bailin Zhang (1 shared paper)Wenzhan Yang (1 shared paper)Stephane Rodde (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal of Pharmaceutical Sciences (2 papers)Current Topics in Medicinal Chemistry (1 paper)Expert Opinion on Drug Metabolism & Toxicology (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- SwitzerlandUnited StatesSingapore
In The Last Decade
Suzanne Skolnik
12 papers receiving 342 citations
Peers
Comparison fields: 5 of 83
- Pharmaceutical Science 67
- Computational Theory and Mathematics 112
- Pharmacology 46
- Filtration and Separation 8
- Oncology 104
Countries citing papers authored by Suzanne Skolnik
This map shows the geographic impact of Suzanne Skolnik'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 Suzanne Skolnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Skolnik more than expected).
Fields of papers citing papers by Suzanne Skolnik
This network shows the impact of papers produced by Suzanne Skolnik. 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 Suzanne Skolnik. The network helps show where Suzanne Skolnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Skolnik, 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 | 107 | |
| 2 | 2010 | 59 | |
| 3 | 2022 | 46 | |
| 4 | 2009 | 44 | |
| 5 | 2019 | 30 | |
| 6 | 2015 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2017 | 7 | |
| 12 | 2012 | 1 |
About Suzanne Skolnik
Suzanne Skolnik is a scholar working on Pharmaceutical Science, Computational Theory and Mathematics, Oncology, Materials Chemistry and Organic Chemistry, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Computational Drug Discovery Methods (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Analytical Chemistry and Chromatography (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Crystallization and Solubility Studies (2 papers), Free Radicals and Antioxidants (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Pharmaceutical Science (67 citations), Computational Theory and Mathematics (112 citations), Pharmacology (46 citations), Filtration and Separation (8 citations) and Oncology (104 citations). Suzanne Skolnik has collaborated with scholars based in Switzerland, United States and Singapore. Frequent co-authors include Jianling Wang, Xuena Lin, Xiaohong Chen, Jianling Wang, Timothy He, Bailin Zhang, Wenzhan Yang, Stephane Rodde, Peter Gedeck and Yipin Lu. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Pharmaceutical Sciences, Current Topics in Medicinal Chemistry, Expert Opinion on Drug Metabolism & Toxicology and Drug Discovery Today.
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.