Kenneth Lange

37.5k total citations · 8 hit papers
274 papers, 23.2k citations indexed

About

Kenneth Lange is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Kenneth Lange has authored 274 papers receiving a total of 23.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Genetics, 85 papers in Molecular Biology and 47 papers in Statistics and Probability. Recurrent topics in Kenneth Lange's work include Genetic Mapping and Diversity in Plants and Animals (61 papers), Genetic Associations and Epidemiology (56 papers) and Genetic and phenotypic traits in livestock (34 papers). Kenneth Lange is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (61 papers), Genetic Associations and Epidemiology (56 papers) and Genetic and phenotypic traits in livestock (34 papers). Kenneth Lange collaborates with scholars based in United States, Poland and United Kingdom. Kenneth Lange's co-authors include David H. Alexander, John Novembre, David R. Hunter, Eric M. Sobel, Richard E. Carson, Roderick J. A. Little, Jeremy M. G. Taylor, Janet S. Sinsheimer, Michael Boehnke and Daniel E. Weeks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of the American Statistical Association.

In The Last Decade

Kenneth Lange

261 papers receiving 22.4k citations

Hit Papers

Fast model-based estimation of anc... 1984 2026 1998 2012 2009 1984 2004 1996 2011 1000 2.0k 3.0k 4.0k 5.0k

Peers

Kenneth Lange
Comparison fields: 5 of 219
  • Genetics 10.0k
  • Molecular Biology 5.1k
  • Radiology, Nuclear Medicine and Imaging 2.6k
  • Statistics and Probability 2.6k
  • Plant Science 2.3k
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Citations per field, relative to Kenneth Lange
Kenneth Lange · 1×
Citations per year, relative to Kenneth Lange
Kenneth Lange · 1×

Countries citing papers authored by Kenneth Lange

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Lange

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Lange. A scholar is included among the top collaborators of Kenneth Lange 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 Lange. Kenneth Lange 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
# Work Indexed citations
1 0
2 0
3 4
4 10
5
Power k-Means Clustering
23
6
Projection onto Minkowski Sums with Application to Constrained Learning.
6
7 6
8 5
9 29
10 12
11 23
12 215
13
Robust Statistical Modeling Using the t Distribution breakdown →
813
14
Simulation of pedigree genotypes by random walks.
40
15
Approximate confidence intervals for risk prediction in genetic counseling.
11
16 69
17 20
18 9
19 261
20 5

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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