M. Wayne Davis
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 17
- Structural Biology top 1%
- Cell Biology top 1%
- Cellular transport and secretion 6
- Biophysics top 1%
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- CRISPR and Genetic Engineering 14
- Lipid Membrane Structure and Behavior 4
- DNA Repair Mechanisms 3
- Photosynthetic Processes and Mechanisms 3
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- Photoreceptor and optogenetics research 5
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- Chromosomal and Genetic Variations 5
- Co-authors
- Erik M. JørgensenShigeki WatanabeLeon AveryChristian Frøkjær‐JensenBlake NewmanSøren‐Peter OlesenChristopher E. HopkinsMorten Grunnet
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
M. Wayne Davis
30 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 1.8k
- Structural Biology 221
- Endocrine and Autonomic Systems 505
- Cell Biology 988
- Biophysics 293
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | ApE, A Plasmid Editor: A Freely Available DNA Manipulation and Visualization Programbreakdown → | 2022 | 129 |
| 3 | 2021 | 7 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 77 | |
| 6 | 2020 | 17 | |
| 7 | 2016 | 69 | |
| 8 | 2016 | 86 | |
| 9 | 2014 | 221 | |
| 10 | 2014 | 251 | |
| 11 | 2013 | 408 | |
| 12 | 2011 | 132 | |
| 13 | 2008 | 105 | |
| 14 | 2008 | 102 | |
| 15 | 2006 | 144 | |
| 16 | 2006 | 13 | |
| 17 | 2005 | 256 | |
| 18 | 2005 | 32 | |
| 19 | 2002 | 205 | |
| 20 | 1997 | 285 |
About M. Wayne Davis
M. Wayne Davis is a scholar working on Aging, Structural Biology, Acoustics and Ultrasonics, Cellular and Molecular Neuroscience and Cell Biology, having authored 32 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), CRISPR and Genetic Engineering (14 papers), Cellular transport and secretion (6 papers), Photoreceptor and optogenetics research (5 papers), Chromosomal and Genetic Variations (5 papers), Lipid Membrane Structure and Behavior (4 papers), DNA Repair Mechanisms (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Aging (1.8k citations), Structural Biology (221 citations), Endocrine and Autonomic Systems (505 citations), Cell Biology (988 citations) and Biophysics (293 citations). M. Wayne Davis has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Erik M. Jørgensen, Shigeki Watanabe, Leon Avery, Christian Frøkjær‐Jensen, Blake Newman, Søren‐Peter Olesen, Christopher E. Hopkins, Morten Grunnet, Joseph A. Dent and Berit Söhl-Kielczynski. Their work appears in journals such as Nature, Nature Methods, PLoS Genetics, Nature Neuroscience and Cell.
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.