Danielle A. Sliter
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Physiology top 1%
- Alzheimer's disease research and treatments
- Calcium signaling and nucleotide metabolism
Papers in
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- Ubiquitin and proteasome pathways 8
- Mitochondrial Function and Pathology 2
-
- Autophagy in Disease and Therapy 7
- Co-authors
- Chunxin Wang (5 shared papers)Richard J. Youle (4 shared papers)Lesley A. Kane (2 shared papers)Shireen A. Sarraf (1 shared paper)Jonathon L. Burman (1 shared paper)Dionisia P. Sideris (1 shared paper)Michael Lazarou (1 shared paper)Adam I. Fogel (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Nature (2 papers)Current Biology (1 paper)Mitochondrion (1 paper)Autophagy (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Danielle A. Sliter
13 papers receiving 3.5k citations
Danielle A. Sliter's Hit Papers
Peers
Comparison fields: 5 of 92
- Epidemiology 2.1k
- Physiology 207
- Neurology 585
- Geriatrics and Gerontology 127
- Cell Biology 605
Countries citing papers authored by Danielle A. Sliter
This map shows the geographic impact of Danielle A. Sliter'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 Danielle A. Sliter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle A. Sliter more than expected).
Fields of papers citing papers by Danielle A. Sliter
This network shows the impact of papers produced by Danielle A. Sliter. 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 Danielle A. Sliter. The network helps show where Danielle A. Sliter may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle A. Sliter, 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 | The ubiquitin kinase PINK1 recruits autophagy receptors to induce mitophagy Hit paper breakdown → | 2015 | 2137 |
| 2 | Phosphorylation of OPTN by TBK1 enhances its binding to Ub chains and promotes selective autophagy of damaged mitochondria Hit paper breakdown → | 2016 | 602 |
| 3 | 2013 | 292 | |
| 4 | 2018 | 113 | |
| 5 | 2011 | 77 | |
| 6 | 2021 | 50 | |
| 7 | 2009 | 48 | |
| 8 | 2019 | 32 | |
| 9 | 2009 | 26 | |
| 10 | 2008 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2010 | 18 |
About Danielle A. Sliter
Danielle A. Sliter is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Neurology and Genetics, having authored 13 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cellular transport and secretion (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Mitochondrial Function and Pathology (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Epidemiology (2.1k citations), Physiology (207 citations), Neurology (585 citations), Geriatrics and Gerontology (127 citations) and Cell Biology (605 citations). Danielle A. Sliter has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Chunxin Wang, Richard J. Youle, Lesley A. Kane, Shireen A. Sarraf, Jonathon L. Burman, Dionisia P. Sideris, Michael Lazarou, Adam I. Fogel, Lina Herhaus and Petra Beli. Their work appears in journals such as Journal of Biological Chemistry, Nature, Current Biology, Mitochondrion and Autophagy.
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.