Emma Danhash

865 citations
5 papers · 185 · h-index 4

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 5
    • Alzheimer's disease research and treatments 4

Emma Danhash

4 papers receiving 179 citations

Peers

Emma Danhash
Comparison fields: 5 of 44
  • Neurology 110
  • Biological Psychiatry 20
  • Physiology 90
  • Developmental Neuroscience 10
  • Biochemistry 17
Replace Choonghee Lee with:
Choonghee Lee United States
Sepideh Kiani Shabestari United States
Zhe Min China
Diego Pérez‐Rodríguez Spain
Emma Mead United Kingdom
Dylan Garceau United States
Jared B. Vasquez United States
Carlos Vicente‐Gutiérrez Spain
Rocío M. de Pablos Spain
Frank Zamudio United States
Emma Danhash relative to Choonghee Lee United States Choonghee Lee's profile →
Citations per field
00.5×1.5×
Choonghee Lee · 1×
Citations per year

Countries citing papers authored by Emma Danhash

Since Specialization
Citations

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

Fields of papers citing papers by Emma Danhash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma Danhash, 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 Emma Danhash Line = papers co-authored together Emma Danhash links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2021106
2 202231
3 201926
4 201922
5 20250

About Emma Danhash

Emma Danhash is a scholar working on Neurology, Physiology, Immunology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 5 papers that have together received 185 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Inflammation biomarkers and pathways (1 paper), Computational Drug Discovery Methods (1 paper), S100 Proteins and Annexins (1 paper), Nuclear Receptors and Signaling (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Neurology (110 citations), Biological Psychiatry (20 citations), Physiology (90 citations), Developmental Neuroscience (10 citations) and Biochemistry (17 citations). Emma Danhash has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Mathew Blurton‐Jones, Hayk Davtyan, Sepideh Kiani Shabestari, Christel Claes, Whitney England, Jonathan Hasselmann, Robert C. Spitale, Jean Paul Chadarevian, Morgan Coburn and Amit Jairaman. Their work appears in journals such as Alzheimer s & Dementia, Molecular Neurodegeneration, Proceedings of the National Academy of Sciences and Alzheimer s Research & Therapy.

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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