Mark D. Huffman

50.4k citations
250 papers · 7.8k indexed · 2 hit papers · h-index 42

Mark D. Huffman

230 papers receiving 7.6k citations

Hit Papers

Global and Regional Patterns in Cardiovascular Mortality ...65220132026201720214008001.2k

Peers

Mark D. Huffman
Comparison fields: 5 of 181
  • Family Practice 341
  • Cardiology and Cardiovascular Medicine 3.3k
  • Geriatrics and Gerontology 291
  • Endocrinology, Diabetes and Metabolism 931
  • Organizational Behavior and Human Resource Management 450
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Citations per year

Countries citing papers authored by Mark D. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Huffman. 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 Mark D. Huffman. The network helps show where Mark D. Huffman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 20242
5 20240
6 20240
7 20231
8 20234
9 20238
10 20236
11
Use of statins for the prevention of cardiovascular disease in 41 low-income and middle-income countries: A cross-sectional study of nationally representative, individual-level data
202249
12 20222
13 202234
14 202039
15 20207
16 201598
17 2012137
18 2012146
19 20112
20 20115

About Mark D. Huffman

Mark D. Huffman is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 250 papers that have together received 7.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (58 papers), Health Systems, Economic Evaluations, Quality of Life (37 papers), Global Public Health Policies and Epidemiology (34 papers), Heart Failure Treatment and Management (30 papers), Cardiovascular Health and Risk Factors (29 papers), Cardiac Health and Mental Health (23 papers), Medication Adherence and Compliance (22 papers) and Sodium Intake and Health (18 papers). The work is most often cited by research in Family Practice (341 citations), Cardiology and Cardiovascular Medicine (3.3k citations) and Geriatrics and Gerontology (291 citations). Mark D. Huffman has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Shah Ebrahim, Fiona Taylor, Donald M. Lloyd‐Jones, Hawkins Gay, Margaret Burke, Theresa HM Moore, George Davey Smith, Ana Filipa Macedo, Kirsten Ward and Dorairaj Prabhakaran. Their work appears in journals such as Global Heart, Circulation, Journal of the American Heart Association, Circulation Cardiovascular Quality and Outcomes and Journal of the American College of Cardiology.

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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