Ken R. Smith

333 papers receiving 11.3k citations

Ken R. Smith's Hit Papers

Association between telomere length in blood and mortality in people aged 60 years or older 2003 · 1.3k citations
1.3k0+7+15Years since publication4008001.2k

Peers

Ken R. Smith
Comparison fields: 5 of 197
  • Aging 609
  • Transportation 1.1k
  • Health 1.1k
  • Pediatrics, Perinatology and Child Health 1.3k
  • Demography 768
Replace David H. Rehkopf with:
David H. Rehkopf United States
Yi Zeng China
Diana Kuh United Kingdom
Wendy J. Brown Australia
Stephen L. Buka United States
Catharine R. Galé United Kingdom
Eileen M. Crimmins United States
Markku Koskenvuo Finland
M. Maria Glymour United States
Kaare Christensen Denmark
Ken R. Smith relative to David H. Rehkopf United States David H. Rehkopf's profile →
Citations per field
00.5×7.7×
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-authors

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

Showing the 20 most-cited of 344 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association between telomere length in blood and mortality in people aged 60 years or older
Hit paper breakdown →
20031345
2 1997247
3 2009230
4 2014219
5 1998217
6 1997213
7 1988175
8 2003164
9 2008162
10 2013141
11 2014138
12 2009135
13 2006132
14 2001130
15 2016128
16 2014123
17 2010122
18 2009117
19 1994104
20 1998102

About Ken R. Smith

Ken R. Smith is a scholar working on Demography, Health, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and General Health Professions, having authored 344 papers that have together received 11.7k indexed citations. Recurring topics across this work include Health disparities and outcomes (44 papers), Urban Transport and Accessibility (27 papers), BRCA gene mutations in cancer (25 papers), Insurance, Mortality, Demography, Risk Management (25 papers), Birth, Development, and Health (23 papers), Demographic Trends and Gender Preferences (20 papers), Global Health Care Issues (16 papers) and Colorectal Cancer Screening and Detection (16 papers). The work is most often cited by research in Aging (609 citations), Transportation (1.1k citations), Health (1.1k citations), Pediatrics, Perinatology and Child Health (1.3k citations) and Demography (768 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, Heidi A. Hanson, Norman J. Waitzman, Lori Kowaleski‐Jones, Robert T. Croyle and Geraldine P. Mineau. Their work appears in journals such as Social Science & Medicine, American Journal of Public Health, Cancer Epidemiology Biomarkers & Prevention, Demography and American Journal of Preventive 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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