Way Sung

7.1k citations
37 papers · 3.9k · 2 hit papers · h-index 26

Impact in

  • Ecology top 1%
    • Environmental DNA in Biodiversity Studies
    • Microbial Community Ecology and Physiology
  • Aging top 2%

Papers in

    • Genomics and Phylogenetic Studies 15
    • Protist diversity and phylogeny 9
    • CRISPR and Genetic Engineering 4
    • Evolution and Genetic Dynamics 18

Way Sung

37 papers receiving 3.9k citations

Hit Papers

Genetic drift, selection and the evolution of the mutation rate 2016 · 528 citations
5280+6+12Years since publication100200300400500

Peers

Way Sung
Comparison fields: 5 of 123
  • Ecology 1.4k
  • Aging 97
  • Genetics 1.5k
  • Molecular Biology 2.5k
  • Plant Science 851
Replace Thomas G. Doak with:
Thomas G. Doak United States
Ari Löytynoja Finland
Jean‐Marc Aury France
Gerard Talavera Spain
M. Hasegawa Japan
Philippe Lopez France
Anthony L. Shiver United States
Thomas Bataillon Denmark
Yun Fu China
Sebastian Fraune Germany
Way Sung relative to Thomas G. Doak United States Thomas G. Doak's profile →
Citations per field
00.5×3.9×
Thomas G. Doak · 1×
Citations per year

Countries citing papers authored by Way Sung

Since Specialization
Citations

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

Fields of papers citing papers by Way Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A genome-wide view of the spectrum of spontaneous mutations in yeast
Hit paper breakdown →
2008530
2
Genetic drift, selection and the evolution of the mutation rate
Hit paper breakdown →
2016528
3 2010280
4 2012275
5 2010267
6 2009260
7 2009200
8 2011143
9 2017106
10 2015103
11 2014102
12 200993
13 201593
14 201288
15 201385
16 200981
17 201574
18 201072
19 201664
20 201662

About Way Sung

Way Sung is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 3.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (18 papers), Genomics and Phylogenetic Studies (15 papers), Environmental DNA in Biodiversity Studies (9 papers), Protist diversity and phylogeny (9 papers), Microbial Community Ecology and Physiology (6 papers), CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (4 papers) and Nematode management and characterization studies (4 papers). The work is most often cited by research in Ecology (1.4k citations), Aging (97 citations), Genetics (1.5k citations), Molecular Biology (2.5k citations) and Plant Science (851 citations). Way Sung has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Michael Lynch, W. Kelley Thomas, Matthew S. Ackerman, W. Kelley Thomas, Hongan Long, Thomas G. Doak, Robin M. Giblin-davis, Dorota L. Porazinska, Samuel F. Miller and Patricia L. Foster. Their work appears in journals such as Genome Biology and Evolution, Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics, Molecular Biology and Evolution and Molecular Ecology.

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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