Nodi Dehvari
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
- Physiology 14
- Alzheimer's disease research and treatments 7
- Adipose Tissue and Metabolism 7
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- Ubiquitin and proteasome pathways 2
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Tore Bengtsson (12 shared papers)Dana S. Hutchinson (8 shared papers)Richard F. Cowburn (8 shared papers)Masaaki Sato (6 shared papers)Ángel Cedazo-Mı́nguez (6 shared papers)Robert I. Csikasz (4 shared papers)Anna Sandström (4 shared papers)Jessica M. Olsen (4 shared papers)
- Journals
- British Journal of Pharmacology (2 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)Free Radical Biology and Medicine (1 paper)Physiology & Behavior (1 paper)
- Partner nations
- SwedenAustraliaUnited States
In The Last Decade
Nodi Dehvari
20 papers receiving 730 citations
Peers
Comparison fields: 5 of 90
- Physiology 391
- Rehabilitation 54
- Toxicology 21
- Cell Biology 96
- Neurology 44
Countries citing papers authored by Nodi Dehvari
This map shows the geographic impact of Nodi Dehvari'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 Nodi Dehvari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nodi Dehvari more than expected).
Fields of papers citing papers by Nodi Dehvari
This network shows the impact of papers produced by Nodi Dehvari. 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 Nodi Dehvari. The network helps show where Nodi Dehvari may publish in the future.
Co-authors
The 25 scholars most cited alongside Nodi Dehvari, 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 | 2014 | 103 | |
| 2 | 2017 | 73 | |
| 3 | 2011 | 70 | |
| 4 | 2008 | 61 | |
| 5 | 2017 | 54 | |
| 6 | 2017 | 48 | |
| 7 | 2015 | 44 | |
| 8 | 2009 | 44 | |
| 9 | 2011 | 39 | |
| 10 | 2020 | 37 | |
| 11 | 2011 | 27 | |
| 12 | 2007 | 23 | |
| 13 | 2008 | 19 | |
| 14 | 2006 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2007 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2008 | 12 | |
| 20 | 2011 | 5 |
About Nodi Dehvari
Nodi Dehvari is a scholar working on Physiology, Molecular Biology, Cell Biology, Epidemiology and Neurology, having authored 20 papers that have together received 737 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Adipose Tissue and Metabolism (7 papers), Cellular transport and secretion (5 papers), Ubiquitin and proteasome pathways (2 papers), Muscle metabolism and nutrition (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Physiology (391 citations), Rehabilitation (54 citations), Toxicology (21 citations), Cell Biology (96 citations) and Neurology (44 citations). Nodi Dehvari has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Tore Bengtsson, Dana S. Hutchinson, Richard F. Cowburn, Masaaki Sato, Ángel Cedazo-Mı́nguez, Robert I. Csikasz, Anna Sandström, Jessica M. Olsen, Roger J. Summers and Eiríkur Benedikz. Their work appears in journals such as British Journal of Pharmacology, PLoS ONE, Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and Physiology & Behavior.
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.