Nodi Dehvari

933 citations
20 papers · 725 · h-index 16

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Alzheimer's disease research and treatments
    • Exercise and Physiological Responses

Papers in

    • Adipose Tissue and Metabolism 10
    • Alzheimer's disease research and treatments 7
    • Metabolism, Diabetes, and Cancer 3
    • Receptor Mechanisms and Signaling 3
    • Protein Kinase Regulation and GTPase Signaling 2

Nodi Dehvari

20 papers receiving 718 citations

Peers

Nodi Dehvari
Comparison fields: 5 of 90
  • Physiology 423
  • Rehabilitation 59
  • Toxicology 23
  • Cell Biology 109
  • Neurology 46
Replace Prashanth Komirishetty with:
Prashanth Komirishetty India
Dai-Qiang Liu China
Leonardo Magno Rambo Brazil
Suryaprakash Raichur Australia
Dhiraj G. Kabra Germany
Yongmei Zhao China
Mi-Hee Ko South Korea
Scott Frendo‐Cumbo Canada
Yonghao Feng China
Takahiro Yaguchi Japan
Nodi Dehvari relative to Prashanth Komirishetty India Prashanth Komirishetty's profile →
Citations per field
00.5×2.6×
Prashanth Komirishetty · 1×
Citations per year

Countries citing papers authored by Nodi Dehvari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nodi Dehvari Line = papers co-authored together Nodi Dehvari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014102
2 201773
3 201170
4 200860
5 201753
6 201747
7 200943
8 201542
9 201138
10 202035
11 201126
12 200723
13 200819
14 200618
15 201917
16 202015
17 200714
18 201213
19 200812
20 20115

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 725 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Alzheimer's disease research and treatments (7 papers), Cellular transport and secretion (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Receptor Mechanisms and Signaling (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Trace Elements in Health (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Physiology (423 citations), Rehabilitation (59 citations), Toxicology (23 citations), Cell Biology (109 citations) and Neurology (46 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, Jessica M. Olsen, Anna Sandström, Roger J. Summers and Eiríkur Benedikz. Their work appears in journals such as British Journal of Pharmacology, PLoS ONE, Autophagy, Journal of Neurochemistry and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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.

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