Danielle E. Mor

927 citations
16 papers · 673 · h-index 11

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism

Papers in

    • Parkinson's Disease Mechanisms and Treatments 10
    • Neurological disorders and treatments 4
    • Neurological diseases and metabolism 3

Danielle E. Mor

15 papers receiving 671 citations

Peers

Danielle E. Mor
Comparison fields: 5 of 78
  • Aging 57
  • Neurology 361
  • Neurology 83
  • Cellular and Molecular Neuroscience 175
  • Physiology 183
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Danielle E. Mor relative to Victor S. Van Laar United States Victor S. Van Laar's profile →
Citations per field
00.5×1.5×2.4×
Victor S. Van Laar · 1×
Citations per year

Countries citing papers authored by Danielle E. Mor

Since Specialization
Citations

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

Fields of papers citing papers by Danielle E. Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle E. Mor. 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 Danielle E. Mor. The network helps show where Danielle E. Mor may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017178
2 2020113
3 201971
4 201569
5 201462
6 201846
7 202129
8 201028
9 202328
10 202219
11 201816
12 20208
13 20223
14 20242
15 20241
16 20250

About Danielle E. Mor

Danielle E. Mor is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 16 papers that have together received 673 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Alzheimer's disease research and treatments (4 papers), Neurological disorders and treatments (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Neurological diseases and metabolism (3 papers), Nuclear Receptors and Signaling (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Aging (57 citations), Neurology (361 citations), Neurology (83 citations), Cellular and Molecular Neuroscience (175 citations) and Physiology (183 citations). Danielle E. Mor has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Harry Ischiropoulos, Coleen T. Murphy, Salman Sohrabi, Rachel Kaletsky, William Keyes, Neal S. Gould, Merry Chen, Vrinda Kalia, Gary W. Miller and Elpida Tsika. Their work appears in journals such as Life Science Alliance, Trends in Biochemical Sciences, International Journal of Molecular Sciences, PLoS ONE and Nature Biotechnology.

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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