William R. Randall
- Molecular Biology top 10%
- Pharmacology top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Plant Science top 10%
- Co-authors
- Martin F. SchneiderYewei LiuEdson X. AlbuquerqueEdna F. R. PereiraWilliam P. FawcettZoltán CseresnyésTiansheng ShenLuis E.F. Almeida
- Topics
- Cholinesterase and Neurodegenerative Diseases (13 papers)Muscle Physiology and Disorders (11 papers)Signaling Pathways in Disease (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
William R. Randall
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.1k
- Pharmacology 347
- Cellular and Molecular Neuroscience 334
- Physiology 327
- Plant Science 274
Countries citing papers authored by William R. Randall
This map shows the geographic impact of William R. Randall'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 William R. Randall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Randall more than expected).
Fields of papers citing papers by William R. Randall
This network shows the impact of papers produced by William R. Randall. 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 William R. Randall. The network helps show where William R. Randall may publish in the future.
Co-authorship network of co-authors of William R. Randall
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Randall. A scholar is included among the top collaborators of William R. Randall 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 William R. Randall. William R. Randall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 17 | |
| 3 | 14 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 51 | |
| 7 | 29 | |
| 8 | 124 | |
| 9 | 35 | |
| 10 | 30 | |
| 11 | 38 | |
| 12 | 6 | |
| 13 | 73 | |
| 14 | 11 | |
| 15 | 114 | |
| 16 | 10 | |
| 17 | 39 | |
| 18 | 119 | |
| 19 | 8 | |
| 20 | 4 |
About William R. Randall
William R. Randall is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (13 papers), Muscle Physiology and Disorders (11 papers) and Signaling Pathways in Disease (9 papers). The work is most often cited by research in Biological Psychiatry (119 citations), Pharmacology (347 citations) and Behavioral Neuroscience (67 citations). William R. Randall has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Martin F. Schneider, Yewei Liu, Edson X. Albuquerque, Edna F. R. Pereira, William P. Fawcett, Zoltán Cseresnyés, Tiansheng Shen, Luis E.F. Almeida, Karl Wah Keung Tsim and Gary T. Patterson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.