Joan L. Pinsky

19 papers receiving 3.3k citations

Hit Papers

The epidemiology of heart failure: The Framingham Study1993202620042015199350010001.5k

Peers

Joan L. Pinsky
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 2.0k
  • Public Health, Environmental and Occupational Health 391
  • Pulmonary and Respiratory Medicine 352
  • Radiology, Nuclear Medicine and Imaging 349
  • Physiology 328
Replace Philip G. Weiler with:
Philip G. Weiler United States
C J Bulpitt United Kingdom
Diane G. Ives United States
Luis García‐Ortiz Spain
Denise E. Bonds United States
Frank J.A. van Rooij Netherlands
Wael Almahmeed United Arab Emirates
Anna Kucharska‐Newton United States
Suzanne Satterfield United States
Manuel A. Gómez‐Marcos Spain
Joan L. Pinsky relative to Philip G. Weiler United States Philip G. Weiler's profile →
Citations per field
00.5×1.6×
Philip G. Weiler · 1×
Citations per year

Countries citing papers authored by Joan L. Pinsky

Since Specialization
Citations

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

Fields of papers citing papers by Joan L. Pinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan L. Pinsky. 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 Joan L. Pinsky. The network helps show where Joan L. Pinsky may publish in the future.

Co-authorship network of co-authors of Joan L. Pinsky

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 19
2 43
3 278
4 7
5 170
6 112
7
The epidemiology of heart failure: The Framingham Studybreakdown →
1690
8 287
9 10
10 177
11 57
12 111
13 183
14 69
15 115
16 38
17 61
18 20
19
Patterns of burglary
47

About Joan L. Pinsky

Joan L. Pinsky is a scholar working on Neuropsychology and Physiological Psychology, Demography and Health, having authored 19 papers that have together received 3.5k indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (3 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Geriatrics and Gerontology (150 citations) and Family Practice (60 citations). Joan L. Pinsky has collaborated with scholars based in United States and Israel. Frequent co-authors include William B. Kannel, Kalon K.L. Ho, Daniel Levy, William P. Castelli, Elaine D. Eaker, Joseph Stokes, A. Richey Sharrett, Paul D. Sorlie, Alan M. Jette and Laurence G. Branch. Their work appears in journals such as Journal of the American College of Cardiology, JNCI Journal of the National Cancer Institute and American Journal of Respiratory and Critical Care Medicine.

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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