David Öling
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Heat shock proteins research
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Mitochondrial Function and Pathology
- Gene Regulatory Network Analysis
- Prion Diseases and Protein Misfolding
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- Heat shock proteins research 3
- Fungal and yeast genetics research 2
- Receptor Mechanisms and Signaling 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Thomas Nyström (5 shared papers)Beidong Liu (3 shared papers)Xinxin Hao (3 shared papers)Julie Grantham (2 shared papers)Kristian Kvint (4 shared papers)Niklas Larsson (2 shared papers)W. M. Shaw (2 shared papers)Tom Ellis (2 shared papers)
- Journals
- Cell (3 papers)ACS Synthetic Biology (2 papers)PLoS Genetics (1 paper)Molecular Cell (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- SwedenUnited KingdomChina
In The Last Decade
David Öling
10 papers receiving 656 citations
Peers
Comparison fields: 5 of 56
- Aging 171
- Molecular Biology 430
- Geriatrics and Gerontology 15
- Cell Biology 52
- Neurology 15
Countries citing papers authored by David Öling
This map shows the geographic impact of David Öling'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 Öling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Öling more than expected).
Fields of papers citing papers by David Öling
This network shows the impact of papers produced by David Öling. 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 Öling. The network helps show where David Öling may publish in the future.
Co-authors
The 25 scholars most cited alongside David Öling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 272 | |
| 2 | 2019 | 159 | |
| 3 | 2011 | 67 | |
| 4 | 2011 | 65 | |
| 5 | 2014 | 44 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2014 | 5 |
About David Öling
David Öling is a scholar working on Aging, Molecular Biology, Cell Biology, Genetics and Epidemiology, having authored 10 papers that have together received 661 indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Microtubule and mitosis dynamics (2 papers), Fungal and yeast genetics research (2 papers), Receptor Mechanisms and Signaling (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Genomics and Chromatin Dynamics (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Aging (171 citations), Molecular Biology (430 citations), Geriatrics and Gerontology (15 citations), Cell Biology (52 citations) and Neurology (15 citations). David Öling has collaborated with scholars based in Sweden, United Kingdom and China. Frequent co-authors include Thomas Nyström, Beidong Liu, Xinxin Hao, Julie Grantham, Kristian Kvint, Niklas Larsson, W. M. Shaw, Tom Ellis, Mark J Wigglesworth and Glen-Oliver F. Gowers. Their work appears in journals such as Cell, ACS Synthetic Biology, PLoS Genetics, Molecular Cell and Nature Structural & Molecular Biology.
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.