Della C. David
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Alzheimer's disease research and treatments
Papers in
- Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
- Physiology 12
- Alzheimer's disease research and treatments 11
- Co-authors
- Jürgen Götz (10 shared papers)Alma L. Burlingame (3 shared papers)Jonathan C. Trinidad (2 shared papers)Michael Cary (1 shared paper)Noah Ollikainen (1 shared paper)Cynthia J. Kenyon (1 shared paper)Frédéric J. Hoerndli (5 shared papers)Robert Layfield (1 shared paper)
- Journals
- Progress in Neurobiology (2 papers)PLoS Biology (2 papers)European Neuropsychopharmacology (1 paper)Frontiers in Genetics (1 paper)Current Drug Targets (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Della C. David
26 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Aging 380
- Physiology 1.1k
- Biological Psychiatry 82
- Neurology 216
- Cell Biology 408
Countries citing papers authored by Della C. David
This map shows the geographic impact of Della C. David'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 Della C. David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Della C. David more than expected).
Fields of papers citing papers by Della C. David
This network shows the impact of papers produced by Della C. David. 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 Della C. David. The network helps show where Della C. David may publish in the future.
Co-authors
The 25 scholars most cited alongside Della C. David, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 507 | |
| 2 | 2005 | 381 | |
| 3 | 2002 | 286 | |
| 4 | 2004 | 235 | |
| 5 | 2004 | 90 | |
| 6 | 2017 | 88 | |
| 7 | 2009 | 73 | |
| 8 | 2017 | 62 | |
| 9 | 2012 | 61 | |
| 10 | 2006 | 61 | |
| 11 | 2012 | 49 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 48 | |
| 14 | 2017 | 47 | |
| 15 | 2005 | 37 | |
| 16 | 2005 | 36 | |
| 17 | 2017 | 20 | |
| 18 | 2025 | 20 | |
| 19 | 2008 | 9 | |
| 20 | 2023 | 8 |
About Della C. David
Della C. David is a scholar working on Aging, Physiology, Cell Biology, Molecular Biology and Biochemistry, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Prion Diseases and Protein Misfolding (6 papers), Computational Drug Discovery Methods (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Research and Splicing (3 papers), Mitochondrial Function and Pathology (2 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Aging (380 citations), Physiology (1.1k citations), Biological Psychiatry (82 citations), Neurology (216 citations) and Cell Biology (408 citations). Della C. David has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jürgen Götz, Alma L. Burlingame, Jonathan C. Trinidad, Michael Cary, Noah Ollikainen, Cynthia J. Kenyon, Frédéric J. Hoerndli, Robert Layfield, Louise C. Serpell and Michel Goedert. Their work appears in journals such as Progress in Neurobiology, PLoS Biology, European Neuropsychopharmacology, Frontiers in Genetics and Current Drug Targets.
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.