Paul Czodrowski
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Health Informatics top 1%
Papers in
-
- Computational Drug Discovery Methods 18
-
- Cell Image Analysis Techniques 4
- Co-authors
- G. KlebeJan H. JensenHui LiJens Erik NielsenNathan BakerMichaela SpitzerDominic A. ClarkJessica Vamathevan
- Journals
- Journal of Chemical Information and Modeling (6 papers)Journal of Medicinal Chemistry (5 papers)Proteins Structure Function and Bioinformatics (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Paul Czodrowski
37 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Computational Theory and Mathematics 1.3k
- Health Informatics 92
- Molecular Biology 2.5k
- Biophysics 113
- Materials Chemistry 738
Countries citing papers authored by Paul Czodrowski
This map shows the geographic impact of Paul Czodrowski'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 Paul Czodrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Czodrowski more than expected).
Fields of papers citing papers by Paul Czodrowski
This network shows the impact of papers produced by Paul Czodrowski. 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 Paul Czodrowski. The network helps show where Paul Czodrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Czodrowski, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 19 | |
| 11 | 2019 | 52 | |
| 12 | Applications of machine learning in drug discovery and development Hit paper breakdown → | 2019 | 1696 |
| 13 | 2018 | 2 | |
| 14 | 2016 | 30 | |
| 15 | 2014 | 49 | |
| 16 | 2014 | 21 | |
| 17 | 2012 | 4 | |
| 18 | 2011 | 5 | |
| 19 | 2009 | 41 | |
| 20 | 2006 | 53 |
About Paul Czodrowski
Paul Czodrowski is a scholar working on Computational Theory and Mathematics, Biophysics, Filtration and Separation, Molecular Biology and Organic Chemistry, having authored 41 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers), Cell Image Analysis Techniques (4 papers), Free Radicals and Antioxidants (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Chemical Reaction Mechanisms (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Health Informatics (92 citations), Molecular Biology (2.5k citations), Biophysics (113 citations) and Materials Chemistry (738 citations). Paul Czodrowski has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include G. Klebe, Jan H. Jensen, Hui Li, Jens Erik Nielsen, Nathan Baker, Michaela Spitzer, Dominic A. Clark, Jessica Vamathevan, Ian Dunham and George Lee. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics, Bioorganic & Medicinal Chemistry Letters and Journal of Cheminformatics.
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.