Ben Capuano
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- Neuropeptides and Animal Physiology 22
- Neuroscience and Neuropharmacology Research 16
- Neurotransmitter Receptor Influence on Behavior 7
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 46
- Pharmacological Receptor Mechanisms and Effects 20
- Chemical Synthesis and Analysis 11
- Physiology top 5%
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- Computational Drug Discovery Methods 10
- Organic Chemistry top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Peter J. ScammellsArthur ChristopoulosJ. Robert LaneJeremy ShonbergIan T. CrosbyCarmen Klein HerenbrinkPatrick M. SextonElizabeth Yuriev
- Journals
- Journal of Medicinal Chemistry (20 papers)Australian Journal of Chemistry (11 papers)ChemMedChem (7 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ben Capuano
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 887
- Molecular Biology 1.5k
- Physiology 85
- Computational Theory and Mathematics 271
- Organic Chemistry 468
Countries citing papers authored by Ben Capuano
This map shows the geographic impact of Ben Capuano'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 Ben Capuano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Capuano more than expected).
Fields of papers citing papers by Ben Capuano
This network shows the impact of papers produced by Ben Capuano. 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 Ben Capuano. The network helps show where Ben Capuano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben Capuano, 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 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 23 | |
| 14 | 2018 | 20 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2014 | 61 |
About Ben Capuano
Ben Capuano is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Organic Chemistry and Computational Theory and Mathematics, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (46 papers), Neuropeptides and Animal Physiology (22 papers), Pharmacological Receptor Mechanisms and Effects (20 papers), Neuroscience and Neuropharmacology Research (16 papers), Chemical Synthesis and Analysis (11 papers), Computational Drug Discovery Methods (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (887 citations), Molecular Biology (1.5k citations), Physiology (85 citations), Computational Theory and Mathematics (271 citations) and Organic Chemistry (468 citations). Ben Capuano has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter J. Scammells, Arthur Christopoulos, J. Robert Lane, Jeremy Shonberg, Ian T. Crosby, Carmen Klein Herenbrink, Patrick M. Sexton, Elizabeth Yuriev, Manuela Jörg and Edward J. Lloyd. Their work appears in journals such as Journal of Medicinal Chemistry, Australian Journal of Chemistry, ChemMedChem, ACS Chemical Neuroscience and Current Medicinal 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.