Phil Fontanarosa

4.9k citations
66 papers · 1.2k indexed · h-index 14
Topics
Pharmaceutical industry and healthcare (6 papers)Health and Medical Research Impacts (5 papers)Healthcare cost, quality, practices (5 papers)

In The Last Decade

Phil Fontanarosa

57 papers receiving 1.1k citations

Peers

Phil Fontanarosa
Comparison fields: 5 of 150
  • Public Health, Environmental and Occupational Health 210
  • Epidemiology 182
  • Statistics, Probability and Uncertainty 174
  • Emergency Medicine 156
  • Infectious Diseases 124
Replace Joseph F. Waeckerle with:
Joseph F. Waeckerle United States
Amélie Yavchitz France
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Martin Van Der Weyden United States
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Phil Fontanarosa relative to Joseph F. Waeckerle United States Joseph F. Waeckerle's profile →
Citations per field
00.5×3.0×
Joseph F. Waeckerle · 1×
Citations per year

Countries citing papers authored by Phil Fontanarosa

Since Specialization
Citations

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

Fields of papers citing papers by Phil Fontanarosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Fontanarosa

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Fontanarosa. A scholar is included among the top collaborators of Phil Fontanarosa 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 Phil Fontanarosa. Phil Fontanarosa 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
#WorkIndexed citations
1 0
2 5
3 1
4 11
5 9
6
Alternative medicine : an objective assessment
11
7 1
8 1
9 3
10 2
11 3
12 4
13 2
14 1
15 54
16 100
17 10
18 9
19 57
20 25

About Phil Fontanarosa

Phil Fontanarosa is a scholar working on Health Informatics, Emergency Medicine and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmaceutical industry and healthcare (6 papers), Health and Medical Research Impacts (5 papers) and Healthcare cost, quality, practices (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (174 citations), Emergency Medicine (156 citations) and Health Informatics (20 citations). Phil Fontanarosa has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Catherine D. DeAngelis, Annette Flanagin, Joseph Wislar, Howard Bauchner, Howard Bauchner, Edward H. Livingston, Lowell W. Gerson, Richard B. Thomson, Robert Golub and George E. Goldman. Their work appears in journals such as JAMA, American Journal of Ophthalmology and JAMA Psychiatry.

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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