Christopher Keefer
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Pharmacology top 2%
- Organic Chemistry top 10%
- Oncology
- Co-authors
- George ChangGregory W. KauffmanDennis O. ScottLi DiSusanne WiniwarterPrashant DesaiRobert D. BeremanSuzanne T. Purrington
- Topics
- Computational Drug Discovery Methods (18 papers)Pharmacogenetics and Drug Metabolism (13 papers)Drug Transport and Resistance Mechanisms (7 papers)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Christopher Keefer
29 papers receiving 664 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 284
- Molecular Biology 224
- Pharmacology 188
- Organic Chemistry 160
- Oncology 143
Countries citing papers authored by Christopher Keefer
This map shows the geographic impact of Christopher Keefer'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 Christopher Keefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Keefer more than expected).
Fields of papers citing papers by Christopher Keefer
This network shows the impact of papers produced by Christopher Keefer. 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 Christopher Keefer. The network helps show where Christopher Keefer may publish in the future.
Co-authorship network of co-authors of Christopher Keefer
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Keefer. A scholar is included among the top collaborators of Christopher Keefer 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 Christopher Keefer. Christopher Keefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | Prediction of fraction unbound in microsomal and hepatocyte incubations – a comparison of methods across industry data sets (by the IQ in silico ADME working group) | 1 |
| 7 | 21 | |
| 8 | 23 | |
| 9 | 28 | |
| 10 | 9 | |
| 11 | 112 | |
| 12 | 12 | |
| 13 | 21 | |
| 14 | 33 | |
| 15 | 58 | |
| 16 | 98 | |
| 17 | 49 | |
| 18 | 34 | |
| 19 | 17 | |
| 20 | 8 |
About Christopher Keefer
Christopher Keefer is a scholar working on Pharmacology, Computational Theory and Mathematics and Oncology, having authored 31 papers that have together received 690 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Pharmacology (188 citations), Computational Theory and Mathematics (284 citations) and Pharmaceutical Science (44 citations). Christopher Keefer has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include George Chang, Gregory W. Kauffman, Dennis O. Scott, Li Di, Susanne Winiwarter, Prashant Desai, Robert D. Bereman, Suzanne T. Purrington, Antonia F. Stepan and Fabio Broccatelli. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal of Hydrogen Energy and Inorganic Chemistry.
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.