Suzanne Skolnik

776 total citations
12 papers, 347 citations indexed

About

Suzanne Skolnik is a scholar working on Pharmaceutical Science, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Suzanne Skolnik has authored 12 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmaceutical Science, 6 papers in Computational Theory and Mathematics and 5 papers in Oncology. Recurrent topics in Suzanne Skolnik's work include Drug Solubulity and Delivery Systems (7 papers), Computational Drug Discovery Methods (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Suzanne Skolnik is often cited by papers focused on Drug Solubulity and Delivery Systems (7 papers), Computational Drug Discovery Methods (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Suzanne Skolnik collaborates with scholars based in Switzerland, United States and Singapore. Suzanne Skolnik's co-authors include Jianling Wang, Xuena Lin, Xiaohong Chen, Jianling Wang, Bailin Zhang, Timothy He, Wenzhan Yang, Stephane Rodde, Peter Gedeck and Yipin Lu and has published in prestigious journals such as The FASEB Journal, Journal of Medicinal Chemistry and Journal of Pharmaceutical Sciences.

In The Last Decade

Suzanne Skolnik

12 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suzanne Skolnik Switzerland 10 130 112 104 67 61 12 347
Chad Stoner United States 10 131 1.0× 121 1.1× 58 0.6× 50 0.7× 26 0.4× 10 333
Lei Di United States 4 92 0.7× 67 0.6× 64 0.6× 62 0.9× 23 0.4× 6 305
Joshua Pottel Canada 12 224 1.7× 115 1.0× 84 0.8× 31 0.5× 36 0.6× 19 415
Masaaki Fujikawa Japan 8 155 1.2× 111 1.0× 83 0.8× 40 0.6× 15 0.2× 10 394
V. Hayden Thomas United States 9 86 0.7× 59 0.5× 48 0.5× 61 0.9× 29 0.5× 11 326
Albert S. Kearney United States 10 87 0.7× 40 0.4× 47 0.5× 146 2.2× 74 1.2× 17 375
Kin‐Kai Hwang United States 7 168 1.3× 124 1.1× 194 1.9× 105 1.6× 22 0.4× 16 528
Yusuke Kamiya Japan 12 116 0.9× 111 1.0× 70 0.7× 41 0.6× 19 0.3× 33 405
Caroline A. Larregieu United States 7 76 0.6× 61 0.5× 108 1.0× 83 1.2× 10 0.2× 7 321
Tony Kennedy United States 3 149 1.1× 197 1.8× 50 0.5× 20 0.3× 24 0.4× 4 370

Countries citing papers authored by Suzanne Skolnik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Suzanne Skolnik

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Skolnik. A scholar is included among the top collaborators of Suzanne Skolnik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne Skolnik. Suzanne Skolnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Yang, Wenzhan, et al.. (2022). Discovery solubility measurement and assessment of small molecules with drug development in mind. Drug Discovery Today. 27(5). 1315–1325. 46 indexed citations
2.
Argikar, Upendra A., Markus Blatter, Dallas Bednarczyk, et al.. (2022). Paradoxical Increase of Permeability and Lipophilicity with the Increasing Topological Polar Surface Area within a Series of PRMT5 Inhibitors. Journal of Medicinal Chemistry. 65(18). 12386–12402. 9 indexed citations
3.
Lu, Yipin, Shankara Anand, William A. Shirley, et al.. (2019). Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines. Journal of Chemical Information and Modeling. 59(11). 4706–4719. 30 indexed citations
4.
Skolnik, Suzanne, et al.. (2017). Automated Supersaturation Stability Assay to Differentiate Poorly Soluble Compounds in Drug Discovery. Journal of Pharmaceutical Sciences. 107(1). 84–93. 11 indexed citations
5.
Gedeck, Peter, Suzanne Skolnik, & Stephane Rodde. (2017). Developing Collaborative QSAR Models Without Sharing Structures. Journal of Chemical Information and Modeling. 57(8). 1847–1858. 7 indexed citations
6.
Gedeck, Peter, Yipin Lu, Suzanne Skolnik, et al.. (2015). Benefit of Retraining pKa Models Studied Using Internally Measured Data. Journal of Chemical Information and Modeling. 55(7). 1449–1459. 12 indexed citations
7.
Wang, Jianling & Suzanne Skolnik. (2013). Permeability Diagnosis Model in Drug Discovery: A Diagnostic Tool to Identify the Most Influencing Properties for Gastrointestinal Permeability. Current Topics in Medicinal Chemistry. 13(11). 1308–1316. 11 indexed citations
8.
Lin, Xuena, Suzanne Skolnik, Xiaohong Chen, & Jianling Wang. (2012). Attenuation of Intestinal Absorption by Major Efflux Transporters: Quantitative Tools and Strategies Using a Caco‐2 Model. The FASEB Journal. 26(S1). 1 indexed citations
9.
Wang, Jianling & Suzanne Skolnik. (2010). Mitigating permeability-mediated risks in drug discovery. Expert Opinion on Drug Metabolism & Toxicology. 6(2). 171–187. 10 indexed citations
10.
Skolnik, Suzanne, Xuena Lin, Jianling Wang, et al.. (2010). Towards Prediction of In Vivo Intestinal Absorption Using a 96-Well Caco-2 Assay. Journal of Pharmaceutical Sciences. 99(7). 3246–3265. 107 indexed citations
11.
Lin, Xuena, Suzanne Skolnik, Xiaohong Chen, & Jianling Wang. (2010). Attenuation of Intestinal Absorption by Major Efflux Transporters: Quantitative Tools and Strategies Using a Caco-2 Model. Drug Metabolism and Disposition. 39(2). 265–274. 59 indexed citations
12.
Wang, Jianling & Suzanne Skolnik. (2009). Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery. Chemistry & Biodiversity. 6(11). 1887–1899. 44 indexed citations

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.

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