M. Wayne Davis
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
- Structural Biology top 1%
Papers in
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
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- Photoreceptor and optogenetics research 6
- Co-authors
- Erik M. Jørgensen (25 shared papers)Christian Frøkjær‐Jensen (5 shared papers)Shigeki Watanabe (7 shared papers)Leon Avery (4 shared papers)Blake J. Newman (1 shared paper)Søren‐Peter Olesen (1 shared paper)Morten Grunnet (1 shared paper)Christopher E. Hopkins (1 shared paper)
- Journals
- Nature (4 papers)Nature Methods (4 papers)Genetics (2 papers)Cell (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
M. Wayne Davis
34 papers receiving 4.7k citations
M. Wayne Davis's Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 2.0k
- Structural Biology 243
- Endocrine and Autonomic Systems 549
- Cell Biology 1.1k
- Biophysics 317
Countries citing papers authored by M. Wayne Davis
This map shows the geographic impact of M. Wayne Davis'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 M. Wayne Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wayne Davis more than expected).
Fields of papers citing papers by M. Wayne Davis
This network shows the impact of papers produced by M. Wayne Davis. 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 M. Wayne Davis. The network helps show where M. Wayne Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wayne Davis, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-copy insertion of transgenes in Caenorhabditis elegans Hit paper breakdown → | 2008 | 879 |
| 2 | 2013 | 456 | |
| 3 | 2012 | 315 | |
| 4 | 2010 | 306 | |
| 5 | 1997 | 292 | |
| 6 | 2005 | 260 | |
| 7 | 2014 | 251 | |
| 8 | 2014 | 242 | |
| 9 | 2002 | 217 | |
| 10 | 2013 | 185 | |
| 11 | 2022 | 153 | |
| 12 | 2006 | 151 | |
| 13 | 2011 | 142 | |
| 14 | 2001 | 122 | |
| 15 | 2008 | 110 | |
| 16 | 2008 | 104 | |
| 17 | 2016 | 95 | |
| 18 | 2020 | 84 | |
| 19 | 2010 | 79 | |
| 20 | 2016 | 70 |
About M. Wayne Davis
M. Wayne Davis is a scholar working on Aging, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Structural Biology, having authored 34 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), CRISPR and Genetic Engineering (14 papers), Cellular transport and secretion (6 papers), Photoreceptor and optogenetics research (6 papers), Chromosomal and Genetic Variations (5 papers), Lipid Membrane Structure and Behavior (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (2.0k citations), Structural Biology (243 citations), Endocrine and Autonomic Systems (549 citations), Cell Biology (1.1k citations) and Biophysics (317 citations). M. Wayne Davis has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Erik M. Jørgensen, Christian Frøkjær‐Jensen, Shigeki Watanabe, Leon Avery, Blake J. Newman, Søren‐Peter Olesen, Morten Grunnet, Christopher E. Hopkins, Joseph A. Dent and Benjamin R. Rost. Their work appears in journals such as Nature, Nature Methods, Genetics, Cell and PLoS 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.