Don Vena
Impact in
- General Dentistry top 10%
- Periodontics top 5%
Papers in
-
- Dental Education, Practice, Research 3
- Primary Care and Health Outcomes 2
- Health Sciences Research and Education 1
-
- Ethics in Clinical Research 2
- Co-authors
- Larry Rubinstein (2 shared papers)Richard Kaplan (1 shared paper)Jonathan J. Shuster (1 shared paper)Matthew Boron (1 shared paper)Helen X. Chen (1 shared paper)Mark Krailo (1 shared paper)Malcolm A. Smith (1 shared paper)C. Carl Jaffe (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Periodontology (2 papers)Journal of Dental Education (1 paper)Therapeutic Innovation & Regulatory Science (1 paper)Postgraduate Medical Journal (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Don Vena
12 papers receiving 477 citations
Peers
Comparison fields: 5 of 68
- General Dentistry 23
- Periodontics 52
- Oral Surgery 68
- Hepatology 67
- Oncology 192
Countries citing papers authored by Don Vena
This map shows the geographic impact of Don Vena'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 Don Vena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Vena more than expected).
Fields of papers citing papers by Don Vena
This network shows the impact of papers produced by Don Vena. 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 Don Vena. The network helps show where Don Vena may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Vena, 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 | 1999 | 202 | |
| 2 | 2006 | 157 | |
| 3 | Attitudes and expectations of treating deep caries: a PEARL Network survey. | 2007 | 68 |
| 4 | Opioid, NSAID, and OTC Analgesic Medications for Dental Procedures: PEARL Network Findings. | 2018 | 14 |
| 5 | 2017 | 14 | |
| 6 | 2012 | 13 | |
| 7 | 2011 | 11 | |
| 8 | 1991 | 9 | |
| 9 | 2012 | 5 | |
| 10 | 2015 | 4 | |
| 11 | A pilot study of dentists' assessment of caries detection and staging systems applied to early caries: PEARL Network findings. | 2017 | 3 |
| 12 | 2012 | 2 | |
| 13 | 2012 | 0 |
About Don Vena
Don Vena is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Periodontics, General Dentistry and Oral Surgery, having authored 13 papers that have together received 502 indexed citations. Recurring topics across this work include Dental Education, Practice, Research (3 papers), Primary Care and Health Outcomes (2 papers), Ethics in Clinical Research (2 papers), Dental Research and COVID-19 (2 papers), Dental Health and Care Utilization (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Mental Health and Psychiatry (1 paper) and Health Sciences Research and Education (1 paper). The work is most often cited by research in General Dentistry (23 citations), Periodontics (52 citations), Oral Surgery (68 citations), Hepatology (67 citations) and Oncology (192 citations). Don Vena has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Larry Rubinstein, Richard Kaplan, Jonathan J. Shuster, Matthew Boron, Helen X. Chen, Mark Krailo, Malcolm A. Smith, C. Carl Jaffe, Paul J. Catalano and Boris Freidlin. Their work appears in journals such as Journal of Clinical Oncology, Journal of Periodontology, Journal of Dental Education, Therapeutic Innovation & Regulatory Science and Postgraduate Medical Journal.
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.