Haskell Wl

741 citations
9 papers · 575 indexed · h-index 6

Haskell Wl

9 papers receiving 507 citations

Peers

Haskell Wl
Comparison fields: 5 of 85
  • Applied Psychology 52
  • General Health Professions 235
  • Health 64
  • Public Health, Environmental and Occupational Health 221
  • Pharmacy 28
Replace Liisa Neittaanmäki with:
Liisa Neittaanmäki Finland
J C Wilkerson United States
Lucía Díez‐Gañán Spain
Connie E. Vickery United States
Amy Winterfeld United States
M Bracco Brazil
Craig Nossel South Africa
Gussie Peterson United States
Shelina Visram United Kingdom
Kathleen Yadrick United States
Haskell Wl relative to Liisa Neittaanmäki Finland Liisa Neittaanmäki's profile →
Citations per field
00.5×3.3×
Liisa Neittaanmäki · 1×
Citations per year

Countries citing papers authored by Haskell Wl

Since Specialization
Citations

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

Fields of papers citing papers by Haskell Wl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Haskell Wl, 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 Haskell Wl Line = papers co-authored together Haskell Wl links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Perceptions of physical fitness in patients with heart failure.
199917
2
The effect of apolipoprotein E isoform difference on postprandial lipoprotein in patients matched for triglycerides, LDL-cholesterol, and HDL-cholesterol.
199114
3
Effects of communitywide education on cardiovascular disease risk factors. The Stanford Five-City Project.
1990186
4
New methodologies for studying the prevention of atherosclerosis.
19883
5 19872
6 1985290
7
Metabolism of substrates: diet, lipoprotein metabolism, and exercise.
198544
8
A comparison of in-hospital education approaches for coronary bypass patients.
198018
9
Physical activity and the prevention of coronary heart disease: what type exercise might be effective.
19691

About Haskell Wl

Haskell Wl is a scholar working on Complementary and alternative medicine, Physical Therapy, Sports Therapy and Rehabilitation and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 575 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (3 papers), Physical Activity and Health (2 papers), Cancer, Lipids, and Metabolism (1 paper), Physical Education and Training Studies (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cardiac Health and Mental Health (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Applied Psychology (52 citations), General Health Professions (235 citations) and Health (64 citations). Haskell Wl has collaborated with scholars based in United States and Israel. Frequent co-authors include C. Barr Taylor, Nathan Maccoby, Farquhar Jw, Phoebe Williams, Stephen P. Fortmann, H. Robert Superko, Melissa Nelson, Alderman El and Joan M. Fair. Their work appears in journals such as American Journal of Epidemiology, Journal of Cardiopulmonary Rehabilitation and PubMed.

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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