Suzanne Skolnik

12 papers receiving 352 citations

Peers

Suzanne Skolnik
Comparison fields: 5 of 80
  • Pharmaceutical Science 64
  • Computational Theory and Mathematics 112
  • Pharmacology 41
  • Oncology 98
  • Filtration and Separation 8
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Citations per year

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-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.

Border = papers with Suzanne Skolnik Line = papers co-authored together Suzanne Skolnik links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010107
2 201060
3 202247
4 200945
5 201931
6 201513
7 202213
8 201711
9 201311
10 201010
11 20177
12 20122
13 20230

About Suzanne Skolnik

Suzanne Skolnik is a scholar working on Pharmaceutical Science, Computational Theory and Mathematics, Oncology, Molecular Biology and Materials Chemistry, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (6 papers), Computational Drug Discovery Methods (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Analytical Chemistry and Chromatography (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pharmacological Effects and Toxicity 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 (64 citations), Computational Theory and Mathematics (112 citations), Pharmacology (41 citations), Oncology (98 citations) and Filtration and Separation (8 citations). Suzanne Skolnik has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Jianling Wang, Xuena Lin, Jianling Wang, Bailin Zhang, Timothy He, Wenzhan Yang, Peter Gedeck, Stephane Rodde, Stephanie Dodd and Weiping Jia. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Pharmaceutical Sciences, Chemistry & Biodiversity, The FASEB Journal 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.

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