Kim A. Williams

39 papers receiving 9.7k citations

Hit Papers

2019 ACC/AHA Guideline on the Primary Prevention of Cardi...20192026202120232019201920192019201910002.0k3.0k

Peers

Kim A. Williams
Comparison fields: 5 of 147
  • Cardiology and Cardiovascular Medicine 4.8k
  • Surgery 2.5k
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Public Health, Environmental and Occupational Health 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.3k
Replace Daniel Muñoz with:
Daniel Muñoz Spain
Michael D. Miedema United States
Joseph Yeboah United States
Laurence Sperling United States
Zachary D. Goldberger United States
Eva Lonn Canada
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Johan Sundström Sweden
Alejandro Castro Spain
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Kim A. Williams relative to Daniel Muñoz Spain Daniel Muñoz's profile →
Citations per field
00.5×1.6×
Daniel Muñoz · 1×
Citations per year

Countries citing papers authored by Kim A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kim A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim A. Williams. 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 Kim A. Williams. The network helps show where Kim A. Williams may publish in the future.

Co-authorship network of co-authors of Kim A. Williams

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3
2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelinesbreakdown →
3038
4
2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summarybreakdown →
804
5 3
6 54
7 3
8 10
9 20
10 38
11 62
12 3
13 150
14 74
15 55
16 8
17 9
18 2
19 0
20 132

About Kim A. Williams

Kim A. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Health, having authored 41 papers that have together received 10.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.8k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Geriatrics and Gerontology (237 citations). Kim A. Williams has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Amit Khera, Donna K. Arnett, Michelle A. Albert, Roger S. Blumenthal, John W. McEvoy, Ellen J. Hahn, Donald M. Lloyd‐Jones, Salim S. Virani, Zachary D. Goldberger and Erin D. Michos. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Hypertension.

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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2026