Lynn King

1.5k citations
32 papers · 1.2k · h-index 21

Impact in

    • Lipid metabolism and biosynthesis
  • Genetics top 5%
    • Genetic diversity and population structure
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting

Papers in

    • Peroxisome Proliferator-Activated Receptors 5
    • Lipid Membrane Structure and Behavior 3
    • Chromosomal and Genetic Variations 6

Lynn King

32 papers receiving 1.1k citations

Peers

Lynn King
Comparison fields: 5 of 103
  • Biochemistry 106
  • Genetics 398
  • Ecology, Evolution, Behavior and Systematics 222
  • Molecular Biology 683
  • Plant Science 271
Replace Thomas C. Newman with:
Thomas C. Newman United States
Norbert H. Haunerland Canada
Alan C. Christensen United States
Robert B. Church Canada
José Salas Spain
Carll Goodpasture United States
Katsuyuki Hashimoto Japan
Tom Berkelman United States
Kátia C. Gondim Brazil
A.G. Mackinlay Australia
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Citations per field
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Citations per year

Countries citing papers authored by Lynn King

Since Specialization
Citations

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

Fields of papers citing papers by Lynn King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000224
2 1989103
3 199473
4 197965
5 198162
6 199058
7 198849
8 199348
9 200541
10 197238
11 199137
12 198936
13 199533
14 200132
15 198732
16 199731
17 199031
18 199828
19 198227
20 198427

About Lynn King

Lynn King is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Biochemistry and Genetics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Plant Taxonomy and Phylogenetics (4 papers), Pancreatic function and diabetes (3 papers), Metabolism and Genetic Disorders (3 papers), Lipid Membrane Structure and Behavior (3 papers), Lipid metabolism and biosynthesis (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Biochemistry (106 citations), Genetics (398 citations), Ecology, Evolution, Behavior and Systematics (222 citations), Molecular Biology (683 citations) and Plant Science (271 citations). Lynn King has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Barbara A. Schaal, Moseley Waite, Larry W. Daniel, Michael P. Cummings, Clair A. Francomano, Elizabeth A. Kellogg, Todd Thornburg, Tom Thurén, Gary A. Beaudry and Pamela S. Shirley. Their work appears in journals such as Evolution, Journal of Biological Chemistry, Experimental Biology and Medicine, Molecular Biology and Evolution and 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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