Way Sung
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 14
- Protist diversity and phylogeny 9
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 3
- Genetics 18
- Evolution and Genetic Dynamics 17
- Co-authors
- Michael Lynch (24 shared papers)Matthew S. Ackerman (8 shared papers)W. Kelley Thomas (10 shared papers)W. Kelley Thomas (6 shared papers)Hongan Long (9 shared papers)Thomas G. Doak (7 shared papers)Dorota L. Porazinska (6 shared papers)Robin M. Giblin-davis (6 shared papers)
- Journals
- Genome Biology and Evolution (4 papers)Proceedings of the National Academy of Sciences (4 papers)Molecular Biology and Evolution (3 papers)G3 Genes Genomes Genetics (3 papers)Molecular Ecology (3 papers)
- Partner nations
- United StatesTürkiyeUnited Kingdom
In The Last Decade
Way Sung
37 papers receiving 3.9k citations
Way Sung's Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 1.5k
- Aging 96
- Ecology 1.4k
- Molecular Biology 2.4k
- Plant Science 821
Countries citing papers authored by Way Sung
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic drift, selection and the evolution of the mutation rate Hit paper breakdown → | 2016 | 544 |
| 2 | A genome-wide view of the spectrum of spontaneous mutations in yeast Hit paper breakdown → | 2008 | 534 |
| 3 | 2010 | 284 | |
| 4 | 2012 | 282 | |
| 5 | 2010 | 270 | |
| 6 | 2009 | 266 | |
| 7 | 2009 | 201 | |
| 8 | 2011 | 145 | |
| 9 | 2017 | 112 | |
| 10 | 2015 | 105 | |
| 11 | 2014 | 105 | |
| 12 | 2015 | 94 | |
| 13 | 2009 | 93 | |
| 14 | 2012 | 90 | |
| 15 | 2013 | 85 | |
| 16 | 2009 | 81 | |
| 17 | 2015 | 78 | |
| 18 | 2010 | 73 | |
| 19 | 2016 | 68 | |
| 20 | 2016 | 62 |
About Way Sung
Way Sung is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 4.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (17 papers), Genomics and Phylogenetic Studies (14 papers), Protist diversity and phylogeny (9 papers), Environmental DNA in Biodiversity Studies (9 papers), Microbial Community Ecology and Physiology (6 papers), Nematode management and characterization studies (4 papers), CRISPR and Genetic Engineering (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Genetics (1.5k citations), Aging (96 citations), Ecology (1.4k citations), Molecular Biology (2.4k citations) and Plant Science (821 citations). Way Sung has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Michael Lynch, Matthew S. Ackerman, W. Kelley Thomas, W. Kelley Thomas, Hongan Long, Thomas G. Doak, Dorota L. Porazinska, Robin M. Giblin-davis, Samuel F. Miller and Jean-François Goût. Their work appears in journals such as Genome Biology and Evolution, Proceedings of the National Academy of Sciences, Molecular Biology and Evolution, G3 Genes Genomes Genetics 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.