Daniel M. Huse

43 papers receiving 1.9k citations

Peers

Daniel M. Huse
Comparison fields: 5 of 123
  • Internal Medicine 52
  • Family Practice 26
  • Endocrinology, Diabetes and Metabolism 231
  • Cardiology and Cardiovascular Medicine 293
  • Neurology 182
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Jeffrey Schein United States
S. А. Boytsov Russia
G. Herbert Fowler United Kingdom
Behrouz Kassaï France
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Citations per year

Countries citing papers authored by Daniel M. Huse

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Huse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel M. Huse, 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 M. Huse Line = papers co-authored together Daniel M. Huse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000465
2 2005267
3 1989164
4 1998145
5 199497
6 200097
7
Consequences of increased systolic blood pressure in patients with osteoarthritis and rheumatoid arthritis.
200367
8 199862
9 199453
10 199046
11 201141
12 199440
13 199537
14 199037
15
Accident- and injury-related health-care utilization among benzodiazepine users and nonusers.
198735
16 200131
17 198931
18
Cost effectiveness of HMG-CoA reductase inhibition in Canada.
200126
19
Use of managed care claims data in the risk assessment of venous thromboembolism in outpatients.
200225
20 200725

About Daniel M. Huse

Daniel M. Huse is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Economics and Econometrics, Pharmacology and Epidemiology, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Blood Pressure and Hypertension Studies (4 papers), Pharmaceutical Economics and Policy (3 papers), Asthma and respiratory diseases (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Internal Medicine (52 citations), Family Practice (26 citations), Endocrinology, Diabetes and Metabolism (231 citations), Cardiology and Cardiovascular Medicine (293 citations) and Neurology (182 citations). Daniel M. Huse has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Mason W. Russell, Stuart C. Hartz, Ralph B. D’Agostino, Gerry Oster, R. Curtis Ellison, Halit Silbershatz, Peter W.F. Wilson, Gregory Lenhart, Lucinda Orsini and Jane Castelli‐Haley. Their work appears in journals such as Annals of Pharmacotherapy, Value in Health, Pharmacoepidemiology and Drug Safety, PharmacoEconomics and Medical Care.

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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