Daniel Vardy

2.4k total citations
83 papers, 1.6k citations indexed

About

Daniel Vardy is a scholar working on Immunology, Epidemiology and Rheumatology. According to data from OpenAlex, Daniel Vardy has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Epidemiology and 13 papers in Rheumatology. Recurrent topics in Daniel Vardy's work include Autoimmune Bullous Skin Diseases (8 papers), Research on Leishmaniasis Studies (8 papers) and Urticaria and Related Conditions (7 papers). Daniel Vardy is often cited by papers focused on Autoimmune Bullous Skin Diseases (8 papers), Research on Leishmaniasis Studies (8 papers) and Urticaria and Related Conditions (7 papers). Daniel Vardy collaborates with scholars based in Israel, United States and Tanzania. Daniel Vardy's co-authors include Arnon D. Cohen, A. Biton, David Greenberg, Ron Dagan, Noga Givon‐Lavi, Pesach Shvartzman, Jacob Dreiher, Dan Buskila, Avi Besser and M. Amir and has published in prestigious journals such as The Journal of Infectious Diseases, Emerging infectious diseases and Journal of Investigative Dermatology.

In The Last Decade

Daniel Vardy

83 papers receiving 1.5k citations

Peers

Daniel Vardy
Comparison fields: 5 of 136
  • Dermatology 326
  • Epidemiology 319
  • Immunology 292
  • Rheumatology 183
  • General Health Professions 178
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E. Gemmen United States
Edmond S. Chan Canada
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Aldo Morrone Italy
David O. Olaleye Nigeria
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Citations per field, relative to Daniel Vardy
Daniel Vardy · 1×
Citations per year, relative to Daniel Vardy
Daniel Vardy · 1×

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-authorship network of co-authors of Daniel Vardy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Vardy. A scholar is included among the top collaborators of Daniel Vardy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Vardy. Daniel Vardy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 20
2 6
3
A natural experiment in mass media modulated pharmacokinetics after a change in tablet formulation.
1
4
Behind the scenes of adherence in a minority population.
15
5
Patterns of opioid consumption in cancer patients.
4
6 4
7 7
8
Computerized community cholesterol control (4C): meeting the challenge of secondary prevention.
31
9
Curtailing laboratory test ordering in a managed care setting through redesign of a computerized order form.
22
10
[Factors associated with frequent attendance in a Bedouin primary care setting].
1
11 41
12 32
13 10
14 39
15 32
16
Household papular urticaria.
10
17 11
18 11
19 34
20 16

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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