Ken Robert Smith

343 papers receiving 12.2k citations

Ken Robert Smith's Hit Papers

Association between telomere length in blood and mortality in people aged 60 years or older 2003 · 1.5k citations
1.5k0+7+15Years since publication4008001.2k

Peers

Ken Robert Smith
Comparison fields: 5 of 197
  • Aging 697
  • Transportation 1.1k
  • Health 1.1k
  • Pediatrics, Perinatology and Child Health 1.4k
  • Demography 838
Replace Diana J. Kuh with:
Diana J. Kuh United Kingdom
David H. Rehkopf United States
David R. Weir United States
Frank Kee United Kingdom
Markku J. Koskenvuo Finland
Penny Gordon‐Larsen United States
M. Maria Glymour United States
Johannes H. Smit Netherlands
Diana Kuh United Kingdom
Stephen L. Buka United States
Ken Robert Smith relative to Diana J. Kuh United Kingdom Diana J. Kuh's profile →
Citations per field
00.5×5×10×14.8×
Diana J. Kuh · 1×
Citations per year

Countries citing papers authored by Ken Robert Smith

Since Specialization
Citations

This map shows the geographic impact of Ken Robert 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 Robert 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 Robert Smith more than expected).

Fields of papers citing papers by Ken Robert Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 359 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 →
20031480
2 1997261
3 2009247
4 1997240
5 2014237
6 1998221
7 1988190
8 2003171
9 2008169
10 2013148
11 2014146
12 2006144
13 2001144
14 2016142
15 2009139
16 2010136
17 2014133
18 2009124
19 1994108
20 1991108

About Ken Robert Smith

Ken Robert Smith is a scholar working on Health, Demography, Transportation, Pediatrics, Perinatology and Child Health and Gender Studies, having authored 359 papers that have together received 12.8k indexed citations. Recurring topics across this work include Health disparities and outcomes (44 papers), Urban Transport and Accessibility (27 papers), Insurance, Mortality, Demography, Risk Management (27 papers), BRCA gene mutations in cancer (26 papers), Birth, Development, and Health (23 papers), Demographic Trends and Gender Preferences (21 papers), Global Health Care Issues (17 papers) and Colorectal Cancer Screening and Detection (16 papers). The work is most often cited by research in Aging (697 citations), Transportation (1.1k citations), Health (1.1k citations), Pediatrics, Perinatology and Child Health (1.4k citations) and Demography (838 citations). Ken Robert Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Cathleen D. Zick, Richard A. Kerber, Elizabeth A. O’Brien, Richard Cawthon, Barbara Berish 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, Demography, Cancer Epidemiology Biomarkers & Prevention, American Journal of Public Health and Clinical Gastroenterology and Hepatology.

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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