Daniel P. Russo
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Materials Chemistry top 10%
- Biomedical Engineering
- Pharmacology top 5%
- Co-authors
- Sean EkinsHao ZhuKimberley M. ZornAlex M. ClarkValery TkachenkoAlexandru KorotcovThomas R. LaneAna C. Puhl
- Topics
- Computational Drug Discovery Methods (26 papers)Metabolomics and Mass Spectrometry Studies (7 papers)Pharmacogenetics and Drug Metabolism (7 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Daniel P. Russo
35 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 733
- Molecular Biology 509
- Materials Chemistry 378
- Biomedical Engineering 159
- Pharmacology 104
Countries citing papers authored by Daniel P. Russo
This map shows the geographic impact of Daniel P. Russo'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 Daniel P. Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Russo more than expected).
Fields of papers citing papers by Daniel P. Russo
This network shows the impact of papers produced by Daniel P. Russo. 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 Daniel P. Russo. The network helps show where Daniel P. Russo may publish in the future.
Co-authorship network of co-authors of Daniel P. Russo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Russo. A scholar is included among the top collaborators of Daniel P. Russo 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 Daniel P. Russo. Daniel P. Russo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 26 | |
| 8 | 14 | |
| 9 | 44 | |
| 10 | 23 | |
| 11 | 20 | |
| 12 | 29 | |
| 13 | Exploiting machine learning for end-to-end drug discovery and developmentbreakdown → | 352 |
| 14 | 19 | |
| 15 | 58 | |
| 16 | 50 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 25 |
About Daniel P. Russo
Daniel P. Russo is a scholar working on Computational Theory and Mathematics, Pharmacology and Small Animals, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Computational Theory and Mathematics (733 citations), Health Informatics (31 citations) and Biophysics (70 citations). Daniel P. Russo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sean Ekins, Hao Zhu, Kimberley M. Zorn, Alex M. Clark, Valery Tkachenko, Alexandru Korotcov, Thomas R. Lane, Ana C. Puhl, Jennifer J. Klein and Anthony J. Hickey. Their work appears in journals such as Nature Materials, Nano Letters and Environmental Science & Technology.
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.