DDW Cornelison
Impact in
Papers in
-
- Muscle Physiology and Disorders 22
- Surgery 17
- Tissue Engineering and Regenerative Medicine 15
- Co-authors
- B Wold (2 shared papers)Bradley B. Olwin (8 shared papers)Alan C. Rapraeger (2 shared papers)Michael A. Rudnicki (2 shared papers)Ashley L. Siegel (5 shared papers)Mark S. Filla (1 shared paper)Paul F. Goetinck (1 shared paper)Heikki Rauvala (1 shared paper)
- Journals
- The Journal of Cell Biology (4 papers)Developmental Biology (3 papers)Skeletal Muscle (3 papers)Stem Cells (3 papers)The Journal of Physiology (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
DDW Cornelison
35 papers receiving 3.0k citations
DDW Cornelison's Hit Papers
Peers
Comparison fields: 5 of 97
- Aging 142
- Genetics 653
- Molecular Biology 2.5k
- Cell Biology 473
- Rehabilitation 156
Countries citing papers authored by DDW Cornelison
This map shows the geographic impact of DDW Cornelison'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 DDW Cornelison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DDW Cornelison more than expected).
Fields of papers citing papers by DDW Cornelison
This network shows the impact of papers produced by DDW Cornelison. 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 DDW Cornelison. The network helps show where DDW Cornelison may publish in the future.
Co-authors
The 25 scholars most cited alongside DDW Cornelison, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Analysis of Regulatory Gene Expression in Quiescent and Activated Mouse Skeletal Muscle Satellite Cells Hit paper breakdown → | 1997 | 733 |
| 2 | 2001 | 309 | |
| 3 | 2004 | 253 | |
| 4 | 2000 | 225 | |
| 5 | 2005 | 206 | |
| 6 | 2009 | 180 | |
| 7 | 2009 | 133 | |
| 8 | 2014 | 129 | |
| 9 | 2010 | 95 | |
| 10 | 2008 | 77 | |
| 11 | 2008 | 77 | |
| 12 | 2011 | 67 | |
| 13 | 2011 | 61 | |
| 14 | 2019 | 57 | |
| 15 | 2017 | 55 | |
| 16 | 2011 | 51 | |
| 17 | 2022 | 40 | |
| 18 | 2012 | 38 | |
| 19 | 2015 | 31 | |
| 20 | 2013 | 29 |
About DDW Cornelison
DDW Cornelison is a scholar working on Molecular Biology, Surgery, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Tissue Engineering and Regenerative Medicine (15 papers), Axon Guidance and Neuronal Signaling (7 papers), Mesenchymal stem cell research (6 papers), Nerve injury and regeneration (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Aging (142 citations), Genetics (653 citations), Molecular Biology (2.5k citations), Cell Biology (473 citations) and Rehabilitation (156 citations). DDW Cornelison has collaborated with scholars based in United States, Canada and China. Frequent co-authors include B Wold, Bradley B. Olwin, Alan C. Rapraeger, Michael A. Rudnicki, Ashley L. Siegel, Mark S. Filla, Paul F. Goetinck, Heikki Rauvala, Sarah A. Wilcox‐Adelman and Danny A. Stark. Their work appears in journals such as The Journal of Cell Biology, Developmental Biology, Skeletal Muscle, Stem Cells and The Journal of Physiology.
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.