Danielle E. Ramo
- Applied Psychology top 0.5%
- Behavioral Health and Interventions 16
- Health top 1%
- Physiology top 1%
- Smoking Behavior and Cessation 56
- Pharmacology top 1%
- Cannabis and Cannabinoid Research 19
- Clinical Psychology top 2%
- Child and Adolescent Psychosocial and Emotional Development 12
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- Substance Abuse Treatment and Outcomes 29
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- Impact of Technology on Adolescents 19
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- Media Influence and Health 14
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- Obesity, Physical Activity, Diet 11
- Co-authors
- Judith J. ProchaskaSandra A. BrownKevin DelucchiHoward LiuJohannes ThrulMarya T. SchulteMark L. RubinsteinErin A. Vogel
- Cited by
- Applied PsychologyHealthPhysiology
- Journals
- Drug and Alcohol Dependence (14 papers)Addictive Behaviors (11 papers)Nicotine & Tobacco Research (5 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Danielle E. Ramo
97 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 141
- Applied Psychology 901
- Health 584
- Physiology 1.5k
- Pharmacology 736
- Clinical Psychology 877
Countries citing papers authored by Danielle E. Ramo
This map shows the geographic impact of Danielle E. Ramo'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 Danielle E. Ramo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle E. Ramo more than expected).
Fields of papers citing papers by Danielle E. Ramo
This network shows the impact of papers produced by Danielle E. Ramo. 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 Danielle E. Ramo. The network helps show where Danielle E. Ramo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle E. Ramo, 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 | 2024 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 142 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 30 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 53 | |
| 13 | 2018 | 39 | |
| 14 | 2018 | 28 | |
| 15 | 2015 | 95 | |
| 16 | 2015 | 53 | |
| 17 | 2013 | 27 | |
| 18 | 2012 | 51 | |
| 19 | 2011 | 84 | |
| 20 | 2009 | 16 |
About Danielle E. Ramo
Danielle E. Ramo is a scholar working on Applied Psychology, Physiology, Health, Literature and Literary Theory and Pharmacology, having authored 100 papers that have together received 4.4k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (56 papers), Substance Abuse Treatment and Outcomes (29 papers), Cannabis and Cannabinoid Research (19 papers), Impact of Technology on Adolescents (19 papers), Behavioral Health and Interventions (16 papers), Media Influence and Health (14 papers), Child and Adolescent Psychosocial and Emotional Development (12 papers) and Obesity, Physical Activity, Diet (11 papers). The work is most often cited by research in Applied Psychology (901 citations), Health (584 citations), Physiology (1.5k citations), Pharmacology (736 citations) and Clinical Psychology (877 citations). Danielle E. Ramo has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Judith J. Prochaska, Sandra A. Brown, Kevin Delucchi, Howard Liu, Johannes Thrul, Marya T. Schulte, Mark L. Rubinstein, Erin A. Vogel, Sharon M. Hall and Kathryn Chavez. Their work appears in journals such as Drug and Alcohol Dependence, Addictive Behaviors, Nicotine & Tobacco Research, Psychology of Addictive Behaviors and Substance Use & Misuse.
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.