Scott A. Monk
Impact in
-
- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
-
- Alzheimer's disease research and treatments
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 11
-
- Computational Drug Discovery Methods 8
- Co-authors
- Michael S. Denison (2 shared papers)Robert H. Rice (2 shared papers)Brian A. Willis (8 shared papers)Dustin J. Mergott (11 shared papers)Patrick C. May (10 shared papers)Robert A. Dean (5 shared papers)Ping Yi (1 shared paper)Martin Citron (6 shared papers)
- Journals
- Alzheimer s & Dementia (11 papers)Archives of Biochemistry and Biophysics (2 papers)The Journal of Clinical Pharmacology (2 papers)Bioanalysis (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- United StatesSingaporeJapan
In The Last Decade
Scott A. Monk
20 papers receiving 158 citations
Peers
Comparison fields: 5 of 43
- Pharmacology 63
- Physiology 94
- Computational Theory and Mathematics 62
- Biological Psychiatry 7
- Health, Toxicology and Mutagenesis 27
Countries citing papers authored by Scott A. Monk
This map shows the geographic impact of Scott A. Monk'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 Scott A. Monk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Monk more than expected).
Fields of papers citing papers by Scott A. Monk
This network shows the impact of papers produced by Scott A. Monk. 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 Scott A. Monk. The network helps show where Scott A. Monk may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott A. Monk, 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 | 2001 | 26 | |
| 2 | 2017 | 18 | |
| 3 | 2012 | 14 | |
| 4 | 2015 | 13 | |
| 5 | 2018 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2012 | 9 | |
| 9 | 2012 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2003 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2010 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2012 | 1 |
About Scott A. Monk
Scott A. Monk is a scholar working on Physiology, Computational Theory and Mathematics, Pharmacology, Oncology and Molecular Biology, having authored 20 papers that have together received 166 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Statistical Methods in Clinical Trials (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Pharmacology (63 citations), Physiology (94 citations), Computational Theory and Mathematics (62 citations), Biological Psychiatry (7 citations) and Health, Toxicology and Mutagenesis (27 citations). Scott A. Monk has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Michael S. Denison, Robert H. Rice, Brian A. Willis, Dustin J. Mergott, Patrick C. May, Robert A. Dean, Ping Yi, Martin Citron, Stephen L. Lowe and Kenneth C. Cassidy. Their work appears in journals such as Alzheimer s & Dementia, Archives of Biochemistry and Biophysics, The Journal of Clinical Pharmacology, Bioanalysis and Bioorganic & 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.