David Vı́lchez
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Pluripotent Stem Cells Research 9
- Ubiquitin and proteasome pathways 8
- CRISPR and Genetic Engineering 5
- Mitochondrial Function and Pathology 5
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
- Co-authors
- Isabel Sáez (12 shared papers)Andrew Dillin (6 shared papers)Seda Koyuncu (19 shared papers)Carsten Merkwirth (3 shared papers)Ianessa Morantte (3 shared papers)Ricardo Gutiérrez-García (10 shared papers)Ana P. C. Rodrigues (1 shared paper)Zheng Liu (1 shared paper)
- Journals
- Nature Communications (6 papers)Human Molecular Genetics (4 papers)Scientific Reports (3 papers)Nature (3 papers)Cell Reports (2 papers)
- Partner nations
- GermanySpainUnited States
In The Last Decade
David Vı́lchez
58 papers receiving 3.1k citations
David Vı́lchez's Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 666
- Cell Biology 619
- Molecular Biology 1.9k
- Physiology 597
- Cellular and Molecular Neuroscience 378
Countries citing papers authored by David Vı́lchez
This map shows the geographic impact of David Vı́lchez'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 David Vı́lchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vı́lchez more than expected).
Fields of papers citing papers by David Vı́lchez
This network shows the impact of papers produced by David Vı́lchez. 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 David Vı́lchez. The network helps show where David Vı́lchez may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vı́lchez, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of protein clearance mechanisms in organismal ageing and age-related diseases Hit paper breakdown → | 2014 | 514 |
| 2 | 2012 | 340 | |
| 3 | 2012 | 316 | |
| 4 | 2007 | 287 | |
| 5 | 2014 | 242 | |
| 6 | 2007 | 121 | |
| 7 | 2019 | 106 | |
| 8 | 2013 | 103 | |
| 9 | 2018 | 80 | |
| 10 | 2016 | 72 | |
| 11 | 2019 | 71 | |
| 12 | 2021 | 70 | |
| 13 | 2017 | 56 | |
| 14 | 2020 | 55 | |
| 15 | 2021 | 42 | |
| 16 | 2013 | 40 | |
| 17 | 2017 | 40 | |
| 18 | 2017 | 39 | |
| 19 | 2020 | 38 | |
| 20 | 2018 | 36 |
About David Vı́lchez
David Vı́lchez is a scholar working on Molecular Biology, Aging, Cell Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 60 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Autophagy in Disease and Therapy (9 papers), Pluripotent Stem Cells Research (9 papers), Genetic Neurodegenerative Diseases (8 papers), Ubiquitin and proteasome pathways (8 papers), CRISPR and Genetic Engineering (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Aging (666 citations), Cell Biology (619 citations), Molecular Biology (1.9k citations), Physiology (597 citations) and Cellular and Molecular Neuroscience (378 citations). David Vı́lchez has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Isabel Sáez, Andrew Dillin, Seda Koyuncu, Carsten Merkwirth, Ianessa Morantte, Ricardo Gutiérrez-García, Ana P. C. Rodrigues, Zheng Liu, Gerard Manning and Peter M. Douglas. Their work appears in journals such as Nature Communications, Human Molecular Genetics, Scientific Reports, Nature and Cell Reports.
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.