Della David

2.8k citations
22 papers · 2.0k · h-index 16

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 2%
    • Alzheimer's disease research and treatments

Papers in

Della David

22 papers receiving 2.0k citations

Peers

Della David
Comparison fields: 5 of 99
  • Aging 355
  • Physiology 1.0k
  • Biological Psychiatry 79
  • Neurology 197
  • Cell Biology 394
Replace Tomohiro Miyasaka with:
Tomohiro Miyasaka Japan
Jennifer L. Wacker United States
John Koren United States
Jose F. Abisambra United States
Adrien W. Schmid Switzerland
Holly D. Oakley United States
Bess Frost United States
Ismael Santa‐María United States
Shane E. Kruse United States
Andrew Giovanni United States
Della David relative to Tomohiro Miyasaka Japan Tomohiro Miyasaka's profile →
Citations per field
00.5×3.4×
Tomohiro Miyasaka · 1×
Citations per year

Countries citing papers authored by Della David

Since Specialization
Citations

This map shows the geographic impact of Della 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 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 David more than expected).

Fields of papers citing papers by Della David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Della 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 David. The network helps show where Della David may publish in the future.

Co-authors

The 25 scholars most cited alongside Della David, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Della David Line = papers co-authored together Della David links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010497
2 2005373
3 2002286
4 2004234
5 200490
6 200973
7 200661
8 201260
9 201755
10 201250
11 201949
12 201745
13 202039
14 200537
15 200536
16 201719
17 20089
18 20238
19 20173
20 20032

About Della David

Della David is a scholar working on Molecular Biology, Physiology, Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Prion Diseases and Protein Misfolding (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Computational Drug Discovery Methods (3 papers), Biochemical Acid Research Studies (2 papers), Cellular transport and secretion (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Aging (355 citations), Physiology (1.0k citations), Biological Psychiatry (79 citations), Neurology (197 citations) and Cell Biology (394 citations). Della David has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Jürgen Götz, Alma L. Burlingame, Jonathan C. Trinidad, Michael Cary, Cynthia Kenyon, Noah Ollikainen, Frédéric J. Hoerndli, Robert Layfield, Louise C. Serpell and Michel Goedert. Their work appears in journals such as PLoS Biology, Progress in Neurobiology, Frontiers in Genetics, Cell Death and Differentiation and PROTEOMICS.

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.

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