Paul Keim

61.2k total citations · 1 hit paper
415 papers, 22.7k citations indexed

About

Paul Keim is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Paul Keim has authored 415 papers receiving a total of 22.7k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Molecular Biology, 142 papers in Genetics and 108 papers in Epidemiology. Recurrent topics in Paul Keim's work include Bacillus and Francisella bacterial research (103 papers), Yersinia bacterium, plague, ectoparasites research (78 papers) and Burkholderia infections and melioidosis (69 papers). Paul Keim is often cited by papers focused on Bacillus and Francisella bacterial research (103 papers), Yersinia bacterium, plague, ectoparasites research (78 papers) and Burkholderia infections and melioidosis (69 papers). Paul Keim collaborates with scholars based in United States, Australia and United Kingdom. Paul Keim's co-authors include David M. Wagner, James M. Schupp, Lance B. Price, Talima Pearson, Thomas G. Whitham, Randy C. Shoemaker, Gregory D. Martinsen, David M. Engelthaler, Kimothy L. Smith and Richard T. Okinaka and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Paul Keim

410 papers receiving 21.8k citations

Hit Papers

Multiple-Locus Variable-Number Tandem Repeat Analysis Rev... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Paul Keim
Comparison fields: 5 of 199
  • Molecular Biology 9.0k
  • Genetics 6.8k
  • Ecology 4.7k
  • Plant Science 4.7k
  • Epidemiology 3.5k
Replace Daniel Falush with:
Daniel Falush United Kingdom
Nicole T. Perna United States
Thomas Madden United States
Howard Ochman United States
George M. Weinstock United States
Andrés Moyá Spain
Adam M. Phillippy United States
Daniel H. Huson Germany
Glenn Tesler United States
Heiko A. Schmidt Austria
Daniel Falush United Kingdom View profile →
Citations per field, relative to Paul Keim
Paul Keim · 1×
Citations per year, relative to Paul Keim
Paul Keim · 1×

Countries citing papers authored by Paul Keim

Since Specialization
Citations

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

Fields of papers citing papers by Paul Keim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Keim

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Keim. A scholar is included among the top collaborators of Paul Keim 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 Paul Keim. Paul Keim 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 8
3 4
4 12
5 3
6 17
7 10
8 6
9 14
10 74
11 4
12 59
13 63
14 90
15 51
16 115
17
"All effects of a gene on the world": Extended phenotypes, feedbacks, and multi-level selection
7
18 344
19 41
20 7

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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