Dana Most

624 citations
11 papers · 495 · 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 490 citations

Peers

Dana Most
Comparison fields: 5 of 58
  • Neurology 237
  • Biological Psychiatry 53
  • Cognitive Neuroscience 143
  • Behavioral Neuroscience 25
  • Cellular and Molecular Neuroscience 109
Replace Yingchun Shang with:
Yingchun Shang China
Jan‐Oliver Hollnagel Germany
Yanlu Ying China
Bruna Cuccurazzu Italy
Mohammed E. Choudhury Japan
Mohammed Al‐Onaizi Canada
Brian F. Corbett United States
Krista M. Rodgers United States
Aritra Bhattacherjee United States
Chiyo Shibasaki Japan
Dana Most relative to Yingchun Shang China Yingchun Shang's profile →
Citations per field
00.5×10×20×25.5×
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 19 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 2009168
2 201478
3 201468
4 201452
5 201135
6 201429
7 201426
8 201819
9 201518
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 495 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Functional Brain Connectivity Studies (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Neurology (237 citations), Biological Psychiatry (53 citations), Cognitive Neuroscience (143 citations), Behavioral Neuroscience (25 citations) and Cellular and Molecular Neuroscience (109 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, Eiran Vadim Harel, Leor N. Katz, Roman Gersner, Yiftach Roth and Yoram Braw. Their work appears in journals such as Neurology, Brain stimulation, International review of neurobiology, Neuropharmacology and The Pharmacogenomics Journal.

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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