Della David

2.8k total citations
22 papers, 2.0k citations indexed

About

Della David is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Della David has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Della David's work include Alzheimer's disease research and treatments (12 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Prion Diseases and Protein Misfolding (5 papers). Della David is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Prion Diseases and Protein Misfolding (5 papers). Della David collaborates with scholars based in Germany, Australia and Switzerland. Della David's co-authors include Jürgen Götz, Alma L. Burlingame, Jonathan C. Trinidad, Cynthia Kenyon, Noah Ollikainen, Michael Cary, Frédéric J. Hoerndli, Louise C. Serpell, Robert Layfield and Maria Grazia Spillantini and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The FASEB Journal.

In The Last Decade

Della David

22 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Della David Germany	16	1.1k	1.0k	400	350	341	22	2.0k
Tomohiro Miyasaka Japan	27	1.0k 0.9×	1.5k 1.5×	255 0.6×	105 0.3×	629 1.8×	60	2.4k
John Koren United States	28	1.6k 1.5×	699 0.7×	583 1.5×	86 0.2×	246 0.7×	46	2.4k
Jose F. Abisambra United States	26	1.4k 1.3×	939 0.9×	615 1.5×	71 0.2×	350 1.0×	51	2.4k
Jennifer L. Wacker United States	13	1.4k 1.2×	458 0.4×	365 0.9×	96 0.3×	776 2.3×	15	2.0k
Adrien W. Schmid Switzerland	18	835 0.7×	820 0.8×	211 0.5×	72 0.2×	430 1.3×	26	2.0k
Bess Frost United States	20	1.7k 1.5×	1.8k 1.7×	292 0.7×	61 0.2×	699 2.0×	40	3.3k
Ismael Santa‐María United States	22	816 0.7×	945 0.9×	155 0.4×	36 0.1×	334 1.0×	46	1.7k
Elisa Motori Germany	22	1.3k 1.2×	341 0.3×	145 0.4×	57 0.2×	367 1.1×	31	2.0k
Arne Ittner Australia	23	748 0.7×	1.0k 1.0×	164 0.4×	35 0.1×	535 1.6×	36	1.9k
Holly D. Oakley United States	8	1.2k 1.0×	2.5k 2.4×	179 0.4×	157 0.4×	933 2.7×	10	3.6k

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-authorship network of co-authors of Della David

This figure shows the co-authorship network connecting the top 25 collaborators of Della David. A scholar is included among the top collaborators of Della David based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Della David. Della David is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fernández‐Villegas, Ana, Maximillian A. Thompson, Christian Rödelsperger, et al.. (2023). A safety mechanism enables tissue-specific resistance to protein aggregation during aging in C. elegans. PLoS Biology. 21(9). e3002284–e3002284. 7 indexed citations

Gallotta, Ivan, Maximilian Peters, Martin Haslbeck, et al.. (2020). Extracellular proteostasis prevents aggregation during pathogenic attack. Nature. 584(7821). 410–414. 39 indexed citations

Stephens, Amberley D., Chetan Poudel, Tessa Sinnige, et al.. (2019). Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in Caenorhabditis elegans. eLife. 8. 47 indexed citations

Crawford, Emily, et al.. (2017). Reduced Insulin/IGF-1 Signaling Restores the Dynamic Properties of Key Stress Granule Proteins during Aging. Cell Reports. 18(2). 454–467. 54 indexed citations

Li, Ka Wan, Pim van Nierop, August B. Smit, et al.. (2017). Age-Dependent Protein Aggregation Initiates Amyloid-β Aggregation. Frontiers in Aging Neuroscience. 9. 138–138. 43 indexed citations

Gallotta, Ivan, et al.. (2017). Methods to Study Changes in Inherent Protein Aggregation with Age in <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 3 indexed citations

David, Della, et al.. (2017). More stressed out with age? Check your RNA granule aggregation. Prion. 11(5). 313–322. 18 indexed citations

David, Della. (2012). Aging and the aggregating proteome. Frontiers in Genetics. 3. 247–247. 57 indexed citations

Crawford, Emily, Julia E. Seaman, Alan E. Barber, et al.. (2012). Conservation of caspase substrates across metazoans suggests hierarchical importance of signaling pathways over specific targets and cleavage site motifs in apoptosis. Cell Death and Differentiation. 19(12). 2040–2048. 48 indexed citations

10.

David, Della, Noah Ollikainen, Jonathan C. Trinidad, et al.. (2010). Widespread Protein Aggregation as an Inherent Part of Aging in C. elegans. PLoS Biology. 8(8). e1000450–e1000450. 477 indexed citations

11.

Götz, Jürgen, Amadeus Gladbach, Luis Pennanen, et al.. (2009). Animal models reveal role for tau phosphorylation in human disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1802(10). 860–871. 72 indexed citations

12.

Götz, Jürgen, Della David, Frédéric J. Hoerndli, et al.. (2008). Functional Genomics Dissects Pathomechanisms in Tauopathies: Mitosis Failure and Unfolded Protein Response. Neurodegenerative Diseases. 5(3-4). 179–181. 9 indexed citations

13.

David, Della, Lars M. Ittner, Peter Gehrig, et al.. (2006). β‐Amyloid treatment of two complementary P301L tau‐expressing Alzheimer's disease models reveals similar deregulated cellular processes. PROTEOMICS. 6(24). 6566–6577. 60 indexed citations

14.

David, Della, Susanne Hauptmann, Isabel Scherping, et al.. (2005). Proteomic and Functional Analyses Reveal a Mitochondrial Dysfunction in P301L Tau Transgenic Mice. Journal of Biological Chemistry. 280(25). 23802–23814. 360 indexed citations

15.

Hoerndli, Frédéric J., Della David, & Jürgen Götz. (2005). Functional Genomics meets neurodegenerative disorders. Progress in Neurobiology. 76(3). 169–188. 36 indexed citations

16.

David, Della, Frédéric J. Hoerndli, & Jürgen Götz. (2005). Functional Genomics meets neurodegenerative disorders. Progress in Neurobiology. 76(3). 153–168. 36 indexed citations

17.

Götz, Jürgen, Lars M. Ittner, & Della David. (2005). Role of the protein tau in Alzheimer's disease. Drug Discovery Today Disease Mechanisms. 2(4). 395–400. 2 indexed citations

18.

Chen, Feng, Della David, Alessandra Ferrari, & Jürgen Götz. (2004). Posttranslational Modifications of Tau - Role in Human Tauopathies and Modeling in Transgenic Animals. Current Drug Targets. 5(6). 503–515. 88 indexed citations

19.

Götz, Jürgen, Johannes Streffer, Della David, et al.. (2004). Transgenic animal models of Alzheimer's disease and related disorders: histopathology, behavior and therapy. Molecular Psychiatry. 9(7). 664–683. 223 indexed citations

20.

David, Della, Robert Layfield, Louise C. Serpell, et al.. (2002). Proteasomal degradation of tau protein. Journal of Neurochemistry. 83(1). 176–185. 274 indexed citations

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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