Kim C. Worley

94.0k citations
72 papers · 4.1k indexed · 1 hit paper · h-index 29
Topics
Genomics and Phylogenetic Studies (23 papers)RNA and protein synthesis mechanisms (8 papers)Chromosomal and Genetic Variations (8 papers)

In The Last Decade

Kim C. Worley

68 papers receiving 4.0k citations

Hit Papers

Mind the Gap: Upgrading Genomes with Pacific Biosciences ...20122026201620212012100200300400500

Peers

Kim C. Worley
Comparison fields: 5 of 144
  • Molecular Biology 2.5k
  • Genetics 1.8k
  • Plant Science 620
  • Ecology 403
  • Ecology, Evolution, Behavior and Systematics 325
Replace Michèle Tixier‐Boichard with:
Michèle Tixier‐Boichard France
Wesley C. Warren United States
Shigehiro Kuraku Japan
Kazuo Moriwaki Japan
David M. Irwin Canada
Alain Vignal France
Kiyoshi Naruse Japan
Stephen J. O’Brien United States
Yoko Satta Japan
Ian Dunn United Kingdom
Kim C. Worley relative to Michèle Tixier‐Boichard France Michèle Tixier‐Boichard's profile →
Citations per field
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Michèle Tixier‐Boichard · 1×
Citations per year

Countries citing papers authored by Kim C. Worley

Since Specialization
Citations

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

Fields of papers citing papers by Kim C. Worley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim C. Worley. 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 Kim C. Worley. The network helps show where Kim C. Worley may publish in the future.

Co-authorship network of co-authors of Kim C. Worley

This figure shows the co-authorship network connecting the top 25 collaborators of Kim C. Worley. A scholar is included among the top collaborators of Kim C. Worley 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 Kim C. Worley. Kim C. Worley 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 0
2 0
3 2
4 1
5 8
6 3
7 16
8 67
9 182
10 37
11 26
12 14
13 36
14 52
15 7
16 4
17 33
18 29
19 36
20 37

About Kim C. Worley

Kim C. Worley is a scholar working on Aging, Genetics and Molecular Biology, having authored 72 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (8 papers) and Chromosomal and Genetic Variations (8 papers). The work is most often cited by research in Genetics (1.8k citations), Molecular Biology (2.5k citations) and Reproductive Medicine (293 citations). Kim C. Worley has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Randall F. Smith, Brent A. Wiese, Richard A. Gibbs, Donna M. Muzny, Emanuele Ferrante, Barbara Bardoni, Elena Zanaria, Silvana Guioli, Orsetta Zuffardi and M. Fraccaro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

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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