Daniel A. Erlanson
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
- Protein Degradation and Inhibitors
Papers in
-
- Computational Drug Discovery Methods 18
-
- Click Chemistry and Applications 15
- Co-authors
- Wolfgang JahnkeRobert S. McDowellThomas O’BrienJames A. WellsAndrew C. BraistedHarren JhotiRoderick E. HubbardStephen W. Fesik
- Journals
- Journal of Medicinal Chemistry (14 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (3 papers)Nature Communications (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Daniel A. Erlanson
48 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 1.2k
- Molecular Biology 3.3k
- Organic Chemistry 1.2k
- Toxicology 136
- Pharmacology 334
Countries citing papers authored by Daniel A. Erlanson
This map shows the geographic impact of Daniel A. Erlanson'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 A. Erlanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Erlanson more than expected).
Fields of papers citing papers by Daniel A. Erlanson
This network shows the impact of papers produced by Daniel A. Erlanson. 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 A. Erlanson. The network helps show where Daniel A. Erlanson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel A. Erlanson, 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 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 4 | |
| 6 | 2021 | 18 | |
| 7 | 2018 | 90 | |
| 8 | Twenty years on: the impact of fragments on drug discovery Hit paper breakdown → | 2016 | 684 |
| 9 | 2013 | 194 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 30 | |
| 12 | 2012 | 19 | |
| 13 | 2011 | 199 | |
| 14 | 2006 | 108 | |
| 15 | 2005 | 59 | |
| 16 | 2004 | 439 | |
| 17 | 2004 | 47 | |
| 18 | 2003 | 155 | |
| 19 | 1996 | 99 | |
| 20 | 1994 | 6 |
About Daniel A. Erlanson
Daniel A. Erlanson is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Pharmaceutical Science, Pharmacology and Molecular Biology, having authored 50 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Click Chemistry and Applications (15 papers), Chemical Synthesis and Analysis (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pharmaceutical Economics and Policy (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (3.3k citations), Organic Chemistry (1.2k citations), Toxicology (136 citations) and Pharmacology (334 citations). Daniel A. Erlanson has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Wolfgang Jahnke, Robert S. McDowell, Thomas O’Brien, James A. Wells, Andrew C. Braisted, Harren Jhoti, Roderick E. Hubbard, Stephen W. Fesik, Mike Randal and Ben Davis. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Nature Communications and Bioorganic & Medicinal Chemistry Letters.
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.