William M. Schultz

1.8k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 8

William M. Schultz

10 papers receiving 1.1k citations

Hit Papers

Socioeconomic Status and Cardiovascular Outcomes8622018202620202023250500750

Peers

William M. Schultz
Comparison fields: 5 of 108
  • Health 248
  • Cardiology and Cardiovascular Medicine 557
  • General Health Professions 223
  • Family Practice 16
  • Public Health, Environmental and Occupational Health 187
Replace Tina Varghese with:
Tina Varghese United States
Jia Shen China
John Lisko United States
Linda Schieb United States
John Harold United States
Amanda S. Duncan Canada
Nilay S. Shah United States
Eduardo Sánchez Spain
Heval Mohamed Kelli United States
Gina S. Wei United States
William M. Schultz relative to Tina Varghese United States Tina Varghese's profile →
Citations per field
00.5×1.6×
Tina Varghese · 1×
Citations per year

Countries citing papers authored by William M. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by William M. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20240
2 201975
3
Socioeconomic Status and Cardiovascular Outcomesbreakdown →
2018862
4 20188
5 20171
6 201767
7 201661
8 20167
9 201616
10 201659
11 20161

About William M. Schultz

William M. Schultz is a scholar working on Cardiology and Cardiovascular Medicine, Health, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Pharmacology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (5 papers), Health disparities and outcomes (3 papers), Pharmacology and Obesity Treatment (2 papers), Physical Activity and Health (2 papers), Natural Antidiabetic Agents Studies (2 papers), Cardiovascular Health and Risk Factors (1 paper), Medicinal Plants and Bioactive Compounds (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Health (248 citations), Cardiology and Cardiovascular Medicine (557 citations), General Health Professions (223 citations), Family Practice (16 citations) and Public Health, Environmental and Occupational Health (187 citations). William M. Schultz has collaborated with scholars based in United States. Frequent co-authors include Arshed A. Quyyumi, Tina Varghese, Pratik B. Sandesara, Laurence Sperling, Heval Mohamed Kelli, Martha Gulati, George A. Mensah, Keith C. Ferdinand, Jennifer H. Mieres and John Lisko. Their work appears in journals such as Current Pharmaceutical Design, Circulation Cardiovascular Imaging, Canadian Journal of Cardiology, Heart and Journal of the American Heart Association.

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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