Daniel Vardy

85 papers receiving 1.6k citations

Peers

Daniel Vardy
Comparison fields: 5 of 134
  • Dermatology 282
  • Emergency Medical Services 136
  • Applied Microbiology and Biotechnology 33
  • Urology 77
  • Immunology 269
Replace Massimo Petruzzi with:
Massimo Petruzzi Italy
Éric Fontas France
Aldo Morrone Italy
Alexander Zink Germany
Herney Andrés García‐Perdomo Colombia
E. Gemmen United States
Beverly G. Mellen United States
M. P. Cullinan New Zealand
Wenche S. Borgnakke United States
Gina Thornton‐Evans United States
Daniel Vardy relative to Massimo Petruzzi Italy Massimo Petruzzi's profile →
Citations per field
00.5×6.6×
Massimo Petruzzi · 1×
Citations per year

Countries citing papers authored by Daniel Vardy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002145
2 200882
3 200375
4 200572
5 200667
6 200560
7 200456
8 200350
9 201449
10 200841
11 200540
12 201737
13 200637
14 200535
15 199534
16
Cardiovascular risk factors in the Bedouin population: management and compliance.
200734
17 200832
18
Computerized community cholesterol control (4C): meeting the challenge of secondary prevention.
200931
19 200530
20 200129

About Daniel Vardy

Daniel Vardy is a scholar working on Immunology, Rheumatology, Public Health, Environmental and Occupational Health, Dermatology and Epidemiology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (8 papers), Autoimmune Bullous Skin Diseases (6 papers), Urticaria and Related Conditions (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Healthcare Operations and Scheduling Optimization (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Healthcare Policy and Management (4 papers) and Nail Diseases and Treatments (4 papers). The work is most often cited by research in Dermatology (282 citations), Emergency Medical Services (136 citations), Applied Microbiology and Biotechnology (33 citations), Urology (77 citations) and Immunology (269 citations). Daniel Vardy has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Arnon D. Cohen, A. Biton, Noga Givon‐Lavi, Ron Dagan, David Greenberg, Pesach Shvartzman, Dan Buskila, Avi Besser, M. Amir and Jacob Dreiher. Their work appears in journals such as Journal of the American Academy of Dermatology, Allergy and Asthma Proceedings, Journal of the European Academy of Dermatology and Venereology, Journal of Medical Systems and The Pediatric Infectious Disease 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.

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