Caroline E. Strong
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
- Pharmacology 11
- Treatment of Major Depression 9
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- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neural Engineering 4
- Co-authors
- Mohamed Kabbaj (13 shared papers)Katherine N. Wright (8 shared papers)Amanda M. Dossat (5 shared papers)Samantha K. Saland (3 shared papers)Mary Kay Lobo (1 shared paper)T. Chase Francis (1 shared paper)Eric J. Nestler (1 shared paper)Florian Duclot (1 shared paper)
- Journals
- Neuropharmacology (3 papers)Communications Biology (2 papers)SLAS DISCOVERY (1 paper)Scientific Reports (1 paper)Integrative Zoology (1 paper)
- Partner nations
- United StatesSwitzerlandLebanon
In The Last Decade
Caroline E. Strong
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 57
- Biological Psychiatry 187
- Behavioral Neuroscience 99
- Pharmacology 211
- Cellular and Molecular Neuroscience 157
- Developmental Neuroscience 22
Countries citing papers authored by Caroline E. Strong
This map shows the geographic impact of Caroline E. Strong'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 Caroline E. Strong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline E. Strong more than expected).
Fields of papers citing papers by Caroline E. Strong
This network shows the impact of papers produced by Caroline E. Strong. 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 Caroline E. Strong. The network helps show where Caroline E. Strong may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline E. Strong, 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 | 2015 | 78 | |
| 2 | 2017 | 57 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 25 | |
| 7 | 2023 | 21 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 2 |
About Caroline E. Strong
Caroline E. Strong is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Biological Psychiatry, Behavioral Neuroscience and Molecular Biology, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Treatment of Major Depression (9 papers), Stress Responses and Cortisol (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neural Engineering (4 papers), 3D Printing in Biomedical Research (3 papers), Prenatal Substance Exposure Effects (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biological Psychiatry (187 citations), Behavioral Neuroscience (99 citations), Pharmacology (211 citations), Cellular and Molecular Neuroscience (157 citations) and Developmental Neuroscience (22 citations). Caroline E. Strong has collaborated with scholars based in United States, Switzerland and Lebanon. Frequent co-authors include Mohamed Kabbaj, Katherine N. Wright, Amanda M. Dossat, Samantha K. Saland, Mary Kay Lobo, T. Chase Francis, Eric J. Nestler, Florian Duclot, Fiona Hollis and David Dietz. Their work appears in journals such as Neuropharmacology, Communications Biology, SLAS DISCOVERY, Scientific Reports and Integrative Zoology.
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.