Demet Araç
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 16
- Lipid Membrane Structure and Behavior 12
- Signaling Pathways in Disease 6
- Cell Biology 19
- Cellular transport and secretion 17
- Co-authors
- Josep Rizo (15 shared papers)Thomas C. Südhof (15 shared papers)Xiaocheng Chen (4 shared papers)Axel T. Brünger (6 shared papers)Antony A. Boucard (4 shared papers)Josep Ubach (3 shared papers)Imma Fernández (2 shared papers)Mischa Machius (2 shared papers)
- Journals
- Nature Communications (5 papers)Neuron (5 papers)Journal of Biological Chemistry (3 papers)Journal of Molecular Biology (3 papers)Nature Structural & Molecular Biology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Demet Araç
44 papers receiving 3.4k citations
Demet Araç's Hit Papers
Peers
Comparison fields: 5 of 100
- Cell Biology 1.7k
- Cellular and Molecular Neuroscience 1.3k
- Physiology 239
- Molecular Biology 2.8k
- Immunology and Allergy 187
Countries citing papers authored by Demet Araç
This map shows the geographic impact of Demet Araç'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 Demet Araç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Demet Araç more than expected).
Fields of papers citing papers by Demet Araç
This network shows the impact of papers produced by Demet Araç. 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 Demet Araç. The network helps show where Demet Araç may publish in the future.
Co-authors
The 25 scholars most cited alongside Demet Araç, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 339 | |
| 2 | A novel evolutionarily conserved domain of cell-adhesion GPCRs mediates autoproteolysis Hit paper breakdown → | 2012 | 337 |
| 3 | 2001 | 318 | |
| 4 | 2006 | 207 | |
| 5 | 2006 | 198 | |
| 6 | 2005 | 155 | |
| 7 | 2007 | 154 | |
| 8 | 2010 | 142 | |
| 9 | 2005 | 118 | |
| 10 | 2009 | 111 | |
| 11 | 2001 | 101 | |
| 12 | 2006 | 100 | |
| 13 | 2018 | 100 | |
| 14 | 2015 | 96 | |
| 15 | 2007 | 92 | |
| 16 | 2016 | 90 | |
| 17 | 2002 | 77 | |
| 18 | 2013 | 72 | |
| 19 | 2002 | 58 | |
| 20 | 2014 | 55 |
About Demet Araç
Demet Araç is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Spectroscopy and Physiology, having authored 45 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Receptor Mechanisms and Signaling (16 papers), Lipid Membrane Structure and Behavior (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Signaling Pathways in Disease (6 papers), Neuropeptides and Animal Physiology (6 papers), Mass Spectrometry Techniques and Applications (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cell Biology (1.7k citations), Cellular and Molecular Neuroscience (1.3k citations), Physiology (239 citations), Molecular Biology (2.8k citations) and Immunology and Allergy (187 citations). Demet Araç has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Josep Rizo, Thomas C. Südhof, Xiaocheng Chen, Axel T. Brünger, Antony A. Boucard, Josep Ubach, Imma Fernández, Mischa Machius, Diana R. Tomchick and Ok-Ho Shin. Their work appears in journals such as Nature Communications, Neuron, Journal of Biological Chemistry, Journal of Molecular Biology 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.