Daniel Mandel

21 papers receiving 318 citations

Peers

Daniel Mandel
Comparison fields: 5 of 32
  • Health Information Management 12
  • General Health Professions 28
  • Economics and Econometrics 37
  • Pharmacology 19
  • Pulmonary and Respiratory Medicine 41
Replace Colleen M. Kummet with:
Colleen M. Kummet United States
Glenn Mbah Afungchwi Cameroon
Wade M Aubry United States
Y Schenk Netherlands
Dominique Hamerlijnck United Kingdom
Qing Lv China
J Kaper Netherlands
Puja J. Umaretiya United States
N. Zhong China
Mark Goodchild Switzerland
Daniel Mandel relative to Colleen M. Kummet United States Colleen M. Kummet's profile →
Citations per field
00.5×2×3×4×4.7×
Colleen M. Kummet · 1×
Citations per year

Countries citing papers authored by Daniel Mandel

Since Specialization
Citations

This map shows the geographic impact of Daniel Mandel'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 Daniel Mandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mandel more than expected).

Fields of papers citing papers by Daniel Mandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mandel. 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 Daniel Mandel. The network helps show where Daniel Mandel may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Mandel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mandel Line = papers co-authored together Daniel Mandel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of Duchenne/Becker muscular dystrophy among males aged 5-24 years–Four states, 2007
200997
2 201497
3 201639
4
Measuring Success in Health Care Value-Based Purchasing Programs
201427
5 202426
6
Carotid Plaque-RADS: A Novel Stroke Risk Classification System
20249
7 20156
8 20246
9 20256
10 20215
11 20245
12 20255
13 20163
14 20223
15 20172
16 20222
17 20242
18 20252
19 20231
20 20241

About Daniel Mandel

Daniel Mandel is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Health Information Management, Epidemiology and Health Informatics, having authored 26 papers that have together received 345 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Acute Ischemic Stroke Management (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Healthcare Policy and Management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Healthcare Quality and Management (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Health Information Management (12 citations), General Health Professions (28 citations), Economics and Econometrics (37 citations), Pharmacology (19 citations) and Pulmonary and Respiratory Medicine (41 citations). Daniel Mandel has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Grant R. Martsolf, Cheryl L. Damberg, Susan L. Lovejoy, Melony E. S. Sorbero, Walter Kucharczyk, Sarah Power, Christopher M. Cunniff, Katherine D. Mathews, Deborah J. Fox and Katherine A. James. Their work appears in journals such as Stroke, Journal of the American Heart Association, Journal of neurosurgery, Neurology and Emergency Radiology.

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.

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