Kenneth Rice

48.1k citations
123 papers · 4.4k indexed · h-index 37
Topics
Genetic Associations and Epidemiology (26 papers)Statistical Methods in Clinical Trials (14 papers)Genetic Mapping and Diversity in Plants and Animals (10 papers)

In The Last Decade

Kenneth Rice

119 papers receiving 4.3k citations

Peers

Kenneth Rice
Comparison fields: 5 of 174
  • Genetics 1.2k
  • Molecular Biology 1.2k
  • Cardiology and Cardiovascular Medicine 587
  • Epidemiology 539
  • Endocrinology, Diabetes and Metabolism 505
Replace Dipender Gill with:
Dipender Gill United Kingdom
Ηλίας Ζιντζαράς Greece
Ivan Brandslund Denmark
Jeanine J. Houwing‐Duistermaat Netherlands
Alexander P. Reiner United States
Celia M.T. Greenwood Canada
Guillaume Paré Canada
Lucia A. Hindorff United States
Abbas Dehghan Netherlands
Qiong Yang United States
Kenneth Rice relative to Dipender Gill United Kingdom Dipender Gill's profile →
Citations per field
00.5×7.8×
Dipender Gill · 1×
Citations per year

Countries citing papers authored by Kenneth Rice

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Rice. 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 Kenneth Rice. The network helps show where Kenneth Rice may publish in the future.

Co-authorship network of co-authors of Kenneth Rice

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Rice. A scholar is included among the top collaborators of Kenneth Rice 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 Kenneth Rice. Kenneth Rice 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 2
2 5
3 3
4 8
5 3
6 4
7 176
8 91
9 77
10 24
11 19
12 100
13 116
14 65
15 5
16 6
17 19
18 8
19 36
20 176

About Kenneth Rice

Kenneth Rice is a scholar working on Statistics and Probability, Internal Medicine and Statistics, Probability and Uncertainty, having authored 123 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Statistical Methods in Clinical Trials (14 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Genetics (1.2k citations), Internal Medicine (149 citations) and Endocrinology, Diabetes and Metabolism (505 citations). Kenneth Rice has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Bruce M. Psaty, Thomas Lumley, Charles W. Garner, Thomas Lumley, Susan R. Heckbert, Nicholas L. Smith, Joshua C. Bis, Julian P. T. Higgins, Barbara McKnight and Kerri L. Wiggins. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Circulation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026