William B. Kannel

2.8k citations
13 papers · 2.1k indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Lipoproteins and Cardiovascular Health (3 papers)Air Quality and Health Impacts (2 papers)
Partner nations
United States

In The Last Decade

William B. Kannel

13 papers receiving 2.0k citations

Peers

William B. Kannel
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 862
  • Endocrinology, Diabetes and Metabolism 506
  • Physiology 500
  • Surgery 416
  • Public Health, Environmental and Occupational Health 384
Replace Gerardo Heiss with:
Gerardo Heiss United States
Andrzej Pająk Poland
Felix E. Moore United States
Marcus O. Kjelsberg United States
Brandi J. Witt United States
Stephen B. Hulley United States
Wm. James Howard United States
R. A. Riemersma United Kingdom
K.‐T. Khaw United Kingdom
G De Backer Belgium
William B. Kannel relative to Gerardo Heiss United States Gerardo Heiss's profile →
Citations per field
00.5×1.5×2.2×
Gerardo Heiss · 1×
Citations per year

Countries citing papers authored by William B. Kannel

Since Specialization
Citations

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

Fields of papers citing papers by William B. Kannel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William B. Kannel

This figure shows the co-authorship network connecting the top 25 collaborators of William B. Kannel. A scholar is included among the top collaborators of William B. Kannel 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 William B. Kannel. William B. Kannel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 117
2 317
3 49
4 105
5 224
6 147
7 101
8 142
9 124
10 418
11 118
12 100
13 145

About William B. Kannel

William B. Kannel is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (862 citations), Endocrinology, Diabetes and Metabolism (506 citations) and Physiology (500 citations). William B. Kannel has collaborated with scholars based in United States. Frequent co-authors include Albert J. Belanger, Daniel Levy, Ralph B. D’Agostino, Joseph Stokes, Bernard E. Kreger, Millicent Higgins, L. Adrienne Cupples, Karen M. Freund, Philip A. Wolf and Peter W.F. Wilson. Their work appears in journals such as American Journal of Epidemiology, The American Journal of Cardiology and Journal of Clinical Epidemiology.

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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