Matthew D. Krasowski
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Psychiatry and Mental health top 1%
- Genetics top 2%
- Pharmacology top 0.2%
- Co-authors
- Neil L. HarrisonSean EkinsLee R. HageyErica J. ReschlyAlan F. HofmannSuzanne E. FinnEdwin H. CookVladimir V. Koltchine
- Topics
- Drug Transport and Resistance Mechanisms (18 papers)Neuroscience and Neuropharmacology Research (18 papers)Pharmacogenetics and Drug Metabolism (17 papers)
- Partner nations
- United StatesEgyptJapan
In The Last Decade
Matthew D. Krasowski
193 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 2.4k
- Psychiatry and Mental health 964
- Genetics 840
- Pharmacology 791
Countries citing papers authored by Matthew D. Krasowski
This map shows the geographic impact of Matthew D. Krasowski'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 Matthew D. Krasowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Krasowski more than expected).
Fields of papers citing papers by Matthew D. Krasowski
This network shows the impact of papers produced by Matthew D. Krasowski. 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 Matthew D. Krasowski. The network helps show where Matthew D. Krasowski may publish in the future.
Co-authorship network of co-authors of Matthew D. Krasowski
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Krasowski. A scholar is included among the top collaborators of Matthew D. Krasowski 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 Matthew D. Krasowski. Matthew D. Krasowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 32 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 92 | |
| 17 | 10 | |
| 18 | 112 | |
| 19 | 18 | |
| 20 | 8 |
About Matthew D. Krasowski
Matthew D. Krasowski is a scholar working on Toxicology, Pharmacology and Health Information Management, having authored 202 papers that have together received 8.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (18 papers) and Pharmacogenetics and Drug Metabolism (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Pharmacology (791 citations) and Developmental Neuroscience (371 citations). Matthew D. Krasowski has collaborated with scholars based in United States, Egypt and Japan. Frequent co-authors include Neil L. Harrison, Sean Ekins, Lee R. Hagey, Erica J. Reschly, Alan F. Hofmann, Suzanne E. Finn, Edwin H. Cook, Vladimir V. Koltchine, Mark A. Stein and N J Cox. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.
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.