Ken R. Smith

16.2k citations
342 papers · 11.6k indexed · 1 hit paper · h-index 54

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Urban Transport and Accessibility

Papers in

Ken R. Smith

326 papers receiving 11.1k citations

Hit Papers

Association between telomere length in blood and mortality in people aged 60 years or older 2003 · 1.3k citations
1.3k20032026201020184008001.2k

Peers

Ken R. Smith
Comparison fields: 5 of 199
  • Aging 721
  • Transportation 1.2k
  • Health 1.4k
  • Pediatrics, Perinatology and Child Health 1.8k
  • Demography 842
Replace David H. Rehkopf with:
David H. Rehkopf United States
Yi Zeng China
Diana Kuh United Kingdom
Markku Koskenvuo Finland
Stephen L. Buka United States
Thorkild I. A. Sørensen Denmark
Wendy J. Brown Australia
Catharine R. Galé United Kingdom
Eileen M. Crimmins United States
M. Maria Glymour United States
Ken R. Smith relative to David H. Rehkopf United States David H. Rehkopf's profile →
Citations per field
00.5×6.5×
David H. Rehkopf · 1×
Citations per year

Countries citing papers authored by Ken R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Ken R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken R. Smith. 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 Ken R. Smith. The network helps show where Ken R. Smith may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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13 202010
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17 20164
18 200220
19
Perceived marital quality and stability of intermarried couples: a study of Asian-white, Black-white, and Mexican-white couples
20001
20 199762

About Ken R. Smith

Ken R. Smith is a scholar working on Health, Transportation, Demography, Pediatrics, Perinatology and Child Health and Gender Studies, having authored 342 papers that have together received 11.6k indexed citations. Recurring topics across this work include Health disparities and outcomes (52 papers), Urban Transport and Accessibility (34 papers), Birth, Development, and Health (29 papers), BRCA gene mutations in cancer (28 papers), Insurance, Mortality, Demography, Risk Management (26 papers), Obesity, Physical Activity, Diet (24 papers), Cancer Risks and Factors (23 papers) and Colorectal Cancer Screening and Detection (22 papers). The work is most often cited by research in Aging (721 citations), Transportation (1.2k citations), Health (1.4k citations), Pediatrics, Perinatology and Child Health (1.8k citations) and Demography (842 citations). Ken R. Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Cathleen D. Zick, Richard A. Kerber, Richard Cawthon, Elizabeth O’Brien, Barbara B. Brown, Norman J. Waitzman, Heidi A. Hanson, Lori Kowaleski‐Jones, Robert T. Croyle and Jeffrey R. Botkin. Their work appears in journals such as Social Science & Medicine, American Journal of Public Health, Cancer Epidemiology Biomarkers & Prevention, Demography and Biodemography and Social Biology.

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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