Palmer Taylor
- Molecular Biology top 0.2%
- Pharmacology top 0.01%
- Computational Theory and Mathematics top 0.02%
- Organic Chemistry top 0.2%
- Plant Science top 0.5%
- Co-authors
- Zoran RadićSteven M. SineShelley CampP. MarchotYves BourneScott B. HansenK. Barry SharplessTodd T. Talley
- Topics
- Cholinesterase and Neurodegenerative Diseases (207 papers)Nicotinic Acetylcholine Receptors Study (139 papers)Computational Drug Discovery Methods (115 papers)
- Partner nations
- United StatesFranceCroatia
In The Last Decade
Palmer Taylor
379 papers receiving 21.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 12.7k
- Pharmacology 8.9k
- Computational Theory and Mathematics 4.5k
- Organic Chemistry 3.7k
- Plant Science 3.6k
Countries citing papers authored by Palmer Taylor
This map shows the geographic impact of Palmer Taylor'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 Palmer Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palmer Taylor more than expected).
Fields of papers citing papers by Palmer Taylor
This network shows the impact of papers produced by Palmer Taylor. 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 Palmer Taylor. The network helps show where Palmer Taylor may publish in the future.
Co-authorship network of co-authors of Palmer Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Palmer Taylor. A scholar is included among the top collaborators of Palmer Taylor 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 Palmer Taylor. Palmer Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 30 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 14 | |
| 14 | Structures of Aplysia AChBP complexes with nicotinic agonists and antagonists reveal distinctive binding interfaces and conformations | 5 |
| 15 | 2 | |
| 16 | Site-directed mutagenesis of acetylcholinesterase - a tool for studying structure/function relationship | 4 |
| 17 | 39 | |
| 18 | Functional consequences of agonist-mediated state transitions in the cholinergic receptor | 52 |
| 19 | Interaction of spin-labeled bidquaternary ammonium ligands with acetylocholinesterase. | 5 |
| 20 | 74 |
About Palmer Taylor
Palmer Taylor is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology, having authored 382 papers that have together received 21.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (207 papers), Nicotinic Acetylcholine Receptors Study (139 papers) and Computational Drug Discovery Methods (115 papers). The work is most often cited by research in Pharmacology (8.9k citations), Computational Theory and Mathematics (4.5k citations) and Cellular and Molecular Neuroscience (3.4k citations). Palmer Taylor has collaborated with scholars based in United States, France and Croatia. Frequent co-authors include Zoran Radić, Steven M. Sine, Shelley Camp, P. Marchot, Yves Bourne, Scott B. Hansen, K. Barry Sharpless, Todd T. Talley, Davide Comoletti and Harvey Alan Berman. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.