Michael Pacanowski
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
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- Antiplatelet Therapy and Cardiovascular Diseases
Papers in
- Pharmacology 18
- Pharmacogenetics and Drug Metabolism 18
- Co-authors
- Issam Zineh (22 shared papers)Jason S. Troutt (1 shared paper)Guoqing Cao (1 shared paper)Robert J. Konrad (1 shared paper)Cody J. Peer (4 shared papers)Carl J. Pepine (5 shared papers)Hobart Rogers (7 shared papers)Robert N. Schuck (19 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (14 papers)Clinical and Translational Science (5 papers)Pharmacogenomics (5 papers)Pharmacogenetics and Genomics (4 papers)The Journal of Clinical Pharmacology (3 papers)
- Partner nations
- United StatesThailandSwitzerland
In The Last Decade
Michael Pacanowski
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Pharmacology 307
- Cardiology and Cardiovascular Medicine 271
- Internal Medicine 35
- Pharmacology 176
- Endocrinology, Diabetes and Metabolism 140
Countries citing papers authored by Michael Pacanowski
This map shows the geographic impact of Michael Pacanowski'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 Michael Pacanowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pacanowski more than expected).
Fields of papers citing papers by Michael Pacanowski
This network shows the impact of papers produced by Michael Pacanowski. 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 Michael Pacanowski. The network helps show where Michael Pacanowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pacanowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 208 | |
| 2 | 2012 | 132 | |
| 3 | 2013 | 63 | |
| 4 | 2013 | 59 | |
| 5 | 2013 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2011 | 44 | |
| 8 | 2009 | 39 | |
| 9 | 2015 | 35 | |
| 10 | 2011 | 32 | |
| 11 | 2014 | 31 | |
| 12 | 2011 | 29 | |
| 13 | 2012 | 28 | |
| 14 | 2011 | 28 | |
| 15 | 2008 | 27 | |
| 16 | 2013 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2008 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2015 | 22 |
About Michael Pacanowski
Michael Pacanowski is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Oncology and Statistics and Probability, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Statistical Methods in Clinical Trials (9 papers), Pharmaceutical studies and practices (8 papers), Computational Drug Discovery Methods (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Genomics and Rare Diseases (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Pharmacology (307 citations), Cardiology and Cardiovascular Medicine (271 citations), Internal Medicine (35 citations), Pharmacology (176 citations) and Endocrinology, Diabetes and Metabolism (140 citations). Michael Pacanowski has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Issam Zineh, Jason S. Troutt, Guoqing Cao, Robert J. Konrad, Cody J. Peer, Carl J. Pepine, Hobart Rogers, Robert N. Schuck, Shawn D. Spencer and Rhonda M. Cooper‐DeHoff. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Clinical and Translational Science, Pharmacogenomics, Pharmacogenetics and Genomics and The Journal of Clinical Pharmacology.
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.