Ann M. Gregus
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
- Physiology 14
- Pain Mechanisms and Treatments 12
- Smoking Behavior and Cessation 2
-
- Neurotransmitter Receptor Influence on Behavior 4
- Neuropeptides and Animal Physiology 3
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Matthew W. Buczynski (12 shared papers)Tony L. Yaksh (6 shared papers)Kelly A. Eddinger (2 shared papers)Darren S. Dumlao (3 shared papers)Edward A. Dennis (3 shared papers)Bethany Fitzsimmons (3 shared papers)Suzanne Doolen (1 shared paper)Bradley K. Taylor (1 shared paper)
- Journals
- Pain (4 papers)Advances in experimental medicine and biology (1 paper)Alcohol (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Ann M. Gregus
15 papers receiving 361 citations
Peers
Comparison fields: 5 of 62
- Sensory Systems 66
- Physiology 187
- Behavioral Neuroscience 21
- Cellular and Molecular Neuroscience 100
- Biochemistry 32
Countries citing papers authored by Ann M. Gregus
This map shows the geographic impact of Ann M. Gregus'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 Ann M. Gregus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann M. Gregus more than expected).
Fields of papers citing papers by Ann M. Gregus
This network shows the impact of papers produced by Ann M. Gregus. 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 Ann M. Gregus. The network helps show where Ann M. Gregus may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann M. Gregus, 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 | 2012 | 104 | |
| 2 | 2021 | 94 | |
| 3 | 2013 | 44 | |
| 4 | 2022 | 26 | |
| 5 | 2019 | 21 | |
| 6 | 2008 | 19 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2010 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2009 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ann M. Gregus
Ann M. Gregus is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology and Pharmacology, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Pharmacological Effects of Natural Compounds (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Cannabis and Cannabinoid Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Ion Channels and Receptors (2 papers) and Smoking Behavior and Cessation (2 papers). The work is most often cited by research in Sensory Systems (66 citations), Physiology (187 citations), Behavioral Neuroscience (21 citations), Cellular and Molecular Neuroscience (100 citations) and Biochemistry (32 citations). Ann M. Gregus has collaborated with scholars based in United States and Israel. Frequent co-authors include Matthew W. Buczynski, Tony L. Yaksh, Kelly A. Eddinger, Darren S. Dumlao, Edward A. Dennis, Bethany Fitzsimmons, Suzanne Doolen, Bradley K. Taylor, Toshifumi Takasusuki and Anjali M. Rajadhyaksha. Their work appears in journals such as Pain, Advances in experimental medicine and biology, Alcohol, Journal of Pharmacology and Experimental Therapeutics and 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.