Dana Siegal
Impact in
- Family Practice top 1%
- Clinical Reasoning and Diagnostic Skills
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Clinical Reasoning and Diagnostic Skills 6
- Pharmacy 6
- Medical Malpractice and Liability Issues 6
- Co-authors
- David E. Newman‐Toker (4 shared papers)Najlla Nassery (3 shared papers)Yuxin Zhu (3 shared papers)Gwendolyn Clemens (3 shared papers)Zheyu Wang (3 shared papers)Ali S. Saber Tehrani (3 shared papers)Mehdi Fanai (3 shared papers)Adam C. Schaffer (3 shared papers)
- Journals
- Diagnosis (4 papers)Journal of Clinical Oncology (1 paper)JAMA Network Open (1 paper)BMJ Quality & Safety (1 paper)Journal of Patient Safety (1 paper)
- Partner nations
- United StatesKenya
In The Last Decade
Dana Siegal
12 papers receiving 427 citations
Peers
Comparison fields: 5 of 74
- Family Practice 154
- Health Informatics 42
- Health Information Management 48
- Pharmacy 47
- Medical Laboratory Technology 10
Countries citing papers authored by Dana Siegal
This map shows the geographic impact of Dana Siegal'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 Dana Siegal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Siegal more than expected).
Fields of papers citing papers by Dana Siegal
This network shows the impact of papers produced by Dana Siegal. 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 Dana Siegal. The network helps show where Dana Siegal may publish in the future.
Co-authors
The 25 scholars most cited alongside Dana Siegal, 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 | 2019 | 108 | |
| 2 | 2020 | 96 | |
| 3 | 2023 | 93 | |
| 4 | 2015 | 73 | |
| 5 | 2017 | 23 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2015 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2019 | 4 |
About Dana Siegal
Dana Siegal is a scholar working on Family Practice, Pharmacy, General Health Professions, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 443 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (6 papers), Medical Malpractice and Liability Issues (6 papers), Radiology practices and education (3 papers), Healthcare cost, quality, practices (3 papers), Patient Safety and Medication Errors (2 papers), Electronic Health Records Systems (2 papers), Radiation Dose and Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Family Practice (154 citations), Health Informatics (42 citations), Health Information Management (48 citations), Pharmacy (47 citations) and Medical Laboratory Technology (10 citations). Dana Siegal has collaborated with scholars based in United States and Kenya. Frequent co-authors include David E. Newman‐Toker, Najlla Nassery, Yuxin Zhu, Gwendolyn Clemens, Zheyu Wang, Ali S. Saber Tehrani, Mehdi Fanai, Adam C. Schaffer, C. Winnie Yu‐Moe and Mark L. Graber. Their work appears in journals such as Diagnosis, Journal of Clinical Oncology, JAMA Network Open, BMJ Quality & Safety and Journal of Patient Safety.
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.