Danielle J. Smith

1.4k citations
8 papers · 242 · h-index 7

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Myasthenia Gravis and Thymoma
    • Mesenchymal stem cell research
    • Blood disorders and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Myasthenia Gravis and Thymoma 1
    • Mesenchymal stem cell research 1

Danielle J. Smith

8 papers receiving 239 citations

Peers

Danielle J. Smith
Comparison fields: 5 of 37
  • Neurology 124
  • Genetics 31
  • Hematology 17
  • Molecular Biology 52
  • Cell Biology 8
Replace Geneviève Paris with:
Geneviève Paris Canada
Daniel Chagnovich United States
A G McGuckin United Kingdom
Mohsin Badat United Kingdom
Thomas R. Cotton Australia
Hans Jürgen Schwarz Germany
Daniel Jutzi United Kingdom
Nicholas J. Geraghty Australia
Minako Oshima United States
Shin‐Chen Hou Taiwan
Danielle J. Smith relative to Geneviève Paris Canada Geneviève Paris's profile →
Citations per field
00.5×2×4×5.7×
Geneviève Paris · 1×
Citations per year

Countries citing papers authored by Danielle J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Danielle J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202368
2 201045
3 200843
4 201831
5 201224
6 201516
7 20209
8 20206

About Danielle J. Smith

Danielle J. Smith is a scholar working on Neurology, Genetics, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Myasthenia Gravis and Thymoma (1 paper), DNA Repair Mechanisms (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Neurology (124 citations), Genetics (31 citations), Hematology (17 citations), Molecular Biology (52 citations) and Cell Biology (8 citations). Danielle J. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gail H. Vance, Brian H. Johnstone, Amy M. Breman, Keith L. March, Virginia C. Thurston, Brenda R. Grimes, Roger B. Slee, Stephanie Merfeld‐Clauss, Dmitry O. Traktuev and Grover C. Bagby. Their work appears in journals such as Journal of Visualized Experiments, Blood, Science Translational Medicine, Journal of Neuropathology & Experimental Neurology and Laboratory Investigation.

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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