Dana Most

629 citations
11 papers · 524 · h-index 9

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Tryptophan and brain disorders

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Extracellular vesicles in disease 2
    • Adipose Tissue and Metabolism 5

Dana Most

10 papers receiving 515 citations

Peers

Dana Most
Comparison fields: 5 of 57
  • Neurology 235
  • Biological Psychiatry 46
  • Cellular and Molecular Neuroscience 96
  • Behavioral Neuroscience 18
  • Developmental Neuroscience 20
Replace Yingchun Shang with:
Yingchun Shang China
Bruna Cuccurazzu Italy
Yanzhong Guan China
Jan‐Oliver Hollnagel Germany
Dong-Xiao Duan China
Austin A. Coley United States
Brian V. Lananna United States
Kristen D. Onos United States
Daniel E. O’Brien United States
Marco Rinaudo Italy
Dana Most relative to Yingchun Shang China Yingchun Shang's profile →
Citations per field
00.5×10×20×26.5×
Yingchun Shang · 1×
Citations per year

Countries citing papers authored by Dana Most

Since Specialization
Citations

This map shows the geographic impact of Dana Most'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 Dana Most with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Most more than expected).

Fields of papers citing papers by Dana Most

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Most. 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 Dana Most. The network helps show where Dana Most may publish in the future.

Co-authors

The 20 scholars most cited alongside Dana Most, 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 Dana Most Line = papers co-authored together Dana Most links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009178
2 201481
3 201470
4 201456
5 201136
6 201432
7 201430
8 201820
9 201519
10 20222
11 20230

About Dana Most

Dana Most is a scholar working on Molecular Biology, Physiology, Neurology, Cancer Research and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 524 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), MicroRNA in disease regulation (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Transcranial Magnetic Stimulation Studies (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Neurology (235 citations), Biological Psychiatry (46 citations), Cellular and Molecular Neuroscience (96 citations), Behavioral Neuroscience (18 citations) and Developmental Neuroscience (20 citations). Dana Most has collaborated with scholars based in United States and Israel. Frequent co-authors include R. Adron Harris, Laura B. Ferguson, Yuri A. Blednov, Abraham Zangen, Yechiel Levkovitz, Leor N. Katz, Eiran Vadim Harel, Yoram Braw, Yiftach Roth and Roman Gersner. Their work appears in journals such as Neurology, Brain stimulation, Addiction Biology, International review of neurobiology and Neuropsychopharmacology.

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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