Peter W. Swaan
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism 16
- Pharmaceutical Science top 0.5%
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 61
- Biomaterials top 1%
- Polymers and Plastics top 2%
- Dendrimers and Hyperbranched Polymers 11
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- RNA Interference and Gene Delivery 14
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- Computational Drug Discovery Methods 12
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- Metabolism and Genetic Disorders 11
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- Pharmacological Effects and Toxicity Studies 10
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- Amino Acid Enzymes and Metabolism 10
- Co-authors
- Sean EkinsHamidreza GhandehariRohit KolhatkarCheng ChangKelly M. KitchensAmy B. ForakerPraveen M. BahadduriJames E. Polli
- Journals
- Journal of Biological Chemistry (6 papers)Biochemistry (7 papers)Advanced Drug Delivery Reviews (6 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Peter W. Swaan
128 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Pharmacology 892
- Pharmaceutical Science 499
- Oncology 2.2k
- Biomaterials 787
- Polymers and Plastics 721
Countries citing papers authored by Peter W. Swaan
This map shows the geographic impact of Peter W. Swaan'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 Peter W. Swaan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Swaan more than expected).
Fields of papers citing papers by Peter W. Swaan
This network shows the impact of papers produced by Peter W. Swaan. 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 Peter W. Swaan. The network helps show where Peter W. Swaan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter W. Swaan, 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 | 2020 | 6 | |
| 2 | 2015 | 26 | |
| 3 | 2014 | 34 | |
| 4 | 2013 | 132 | |
| 5 | 2013 | 137 | |
| 6 | 2013 | 29 | |
| 7 | 2011 | 46 | |
| 8 | 2008 | 82 | |
| 9 | 2008 | 4 | |
| 10 | 2008 | 78 | |
| 11 | 2007 | 232 | |
| 12 | 2007 | 154 | |
| 13 | 2007 | 43 | |
| 14 | 2007 | 37 | |
| 15 | 2007 | 16 | |
| 16 | 2006 | 78 | |
| 17 | 2005 | 69 | |
| 18 | 2002 | 60 | |
| 19 | 2002 | 56 | |
| 20 | 2001 | 11 |
About Peter W. Swaan
Peter W. Swaan is a scholar working on Pharmacology, Oncology and Biochemistry, having authored 129 papers that have together received 6.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (61 papers), Pharmacogenetics and Drug Metabolism (16 papers), RNA Interference and Gene Delivery (14 papers), Computational Drug Discovery Methods (12 papers), Dendrimers and Hyperbranched Polymers (11 papers), Metabolism and Genetic Disorders (11 papers), Pharmacological Effects and Toxicity Studies (10 papers) and Amino Acid Enzymes and Metabolism (10 papers). The work is most often cited by research in Pharmacology (892 citations), Pharmaceutical Science (499 citations) and Oncology (2.2k citations). Peter W. Swaan has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Sean Ekins, Hamidreza Ghandehari, Rohit Kolhatkar, Cheng Chang, Kelly M. Kitchens, Amy B. Foraker, Praveen M. Bahadduri, James E. Polli, Kathleen M. Hillgren and Lindsay C. Czuba. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Advanced Drug Delivery Reviews.
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.