Stephen Brimijoin
- Pharmacology top 0.1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Computational Theory and Mathematics top 0.2%
- Plant Science top 2%
- Co-authors
- Yuan‐Ping PangP. HammondCarol KoenigsbergerYang GaoOksana LockridgeKenneth A. SkauZoltán RakonczayFeng Hong
- Topics
- Cholinesterase and Neurodegenerative Diseases (92 papers)Computational Drug Discovery Methods (42 papers)Neurotransmitter Receptor Influence on Behavior (30 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Stephen Brimijoin
180 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 124
- Pharmacology 3.1k
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 1.9k
- Computational Theory and Mathematics 1.4k
- Plant Science 1.2k
Countries citing papers authored by Stephen Brimijoin
This map shows the geographic impact of Stephen Brimijoin'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 Stephen Brimijoin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Brimijoin more than expected).
Fields of papers citing papers by Stephen Brimijoin
This network shows the impact of papers produced by Stephen Brimijoin. 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 Stephen Brimijoin. The network helps show where Stephen Brimijoin may publish in the future.
Co-authorship network of co-authors of Stephen Brimijoin
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Brimijoin. A scholar is included among the top collaborators of Stephen Brimijoin 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 Stephen Brimijoin. Stephen Brimijoin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 24 | |
| 4 | 44 | |
| 5 | 35 | |
| 6 | 24 | |
| 7 | 58 | |
| 8 | 28 | |
| 9 | 38 | |
| 10 | 108 | |
| 11 | 42 | |
| 12 | 127 | |
| 13 | 76 | |
| 14 | 302 | |
| 15 | 81 | |
| 16 | 41 | |
| 17 | 56 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 12 |
About Stephen Brimijoin
Stephen Brimijoin is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 180 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (92 papers), Computational Drug Discovery Methods (42 papers) and Neurotransmitter Receptor Influence on Behavior (30 papers). The work is most often cited by research in Pharmacology (3.1k citations), Cellular and Molecular Neuroscience (1.9k citations) and Computational Theory and Mathematics (1.4k citations). Stephen Brimijoin has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Yuan‐Ping Pang, P. Hammond, Carol Koenigsberger, Yang Gao, Oksana Lockridge, Kenneth A. Skau, Zoltán Rakonczay, Feng Hong, Tina M. Rees and Tanya M. Jelacic. Their work appears in journals such as Nature, Science 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.