Dan Garside

2.1k citations
14 papers · 1.6k indexed · 1 hit paper · h-index 11

Dan Garside

14 papers receiving 1.4k citations

Hit Papers

Low Risk-Factor Profile and Long-term Cardiovascular and ...5241999202620082017100200300400500

Peers

Dan Garside
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 644
  • Health 221
  • Pathology and Forensic Medicine 346
  • Public Health, Environmental and Occupational Health 445
  • Endocrinology, Diabetes and Metabolism 227
Replace Howard A. Lindberg with:
Howard A. Lindberg United States
Mary Walker United Kingdom
Stephen B. Hulley United States
Odd Nilssen Norway
E B Rimm United States
B. Haas France
Sreenivas P. Veeranki United States
Yinkun Yan China
Bernadette Haas France
J Tillotson United States
Dan Garside relative to Howard A. Lindberg United States Howard A. Lindberg's profile →
Citations per field
00.5×1.5×1.9×
Howard A. Lindberg · 1×
Citations per year

Countries citing papers authored by Dan Garside

Since Specialization
Citations

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

Fields of papers citing papers by Dan Garside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 200810
2
Case report: Metaxalone (Skelaxin®)-Related Death
20041
3
Low Risk-Factor Profile and Long-term Cardiovascular and Noncardiovascular Mortality and Life Expectancybreakdown →
1999524
4 199635
5 198811
6 198244
7 1982169
8
Alcohol, cardiovascular risk factors and mortality: the Chicago experience.
1981111
9 19807
10 1980134
11 1979109
12 197895
13 1978101
14 1977249

About Dan Garside

Dan Garside is a scholar working on Health, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Health disparities and outcomes (3 papers), Cardiovascular Health and Risk Factors (3 papers), Alcohol Consumption and Health Effects (3 papers), Global Health Care Issues (2 papers), Global Public Health Policies and Epidemiology (2 papers), Health Sciences Research and Education (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (644 citations), Health (221 citations) and Pathology and Forensic Medicine (346 citations). Dan Garside has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Jeremiah Stamler, Alan R. Dyer, Alan R. Dyer, Rose Stamler, Richard B. Shekelle, Jeremiah Stamler, Mark H. Lepper, Martha L. Daviglus, Philip Greenland and Deborah Wentworth. Their work appears in journals such as Circulation, JAMA, The Lancet, Hypertension and Preventive Medicine.

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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