Doris Thu

1.5k citations
7 papers · 462 · h-index 7

Impact in

    • Genetic Neurodegenerative Diseases
    • Neuroscience and Neuropharmacology Research
  • Neurology top 5%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Doris Thu

7 papers receiving 459 citations

Peers

Doris Thu
Comparison fields: 5 of 52
  • Cellular and Molecular Neuroscience 310
  • Neurology 202
  • Molecular Biology 283
  • Neurology 33
  • Biophysics 18
Replace Lisa Bertram with:
Lisa Bertram Canada
Bisong Xu United States
Gautam Wali Australia
Jim Rosinski United States
Elisabeth L. Moussaud-Lamodière United States
Salman Haider United Kingdom
Andrea Wetzel United Kingdom
Valérie Perrin Switzerland
Bavo Heeman Belgium
Chiara Scaramuzzino France
Doris Thu relative to Lisa Bertram Canada Lisa Bertram's profile →
Citations per field
00.5×1.5×
Lisa Bertram · 1×
Citations per year

Countries citing papers authored by Doris Thu

Since Specialization
Citations

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

Fields of papers citing papers by Doris Thu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010154
2 2011128
3 201456
4 201451
5 201238
6 201221
7 201014

About Doris Thu

Doris Thu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 7 papers that have together received 462 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Neurological disorders and treatments (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Mitochondrial Function and Pathology (3 papers), Bioinformatics and Genomic Networks (1 paper), RNA Research and Splicing (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (310 citations), Neurology (202 citations), Molecular Biology (283 citations), Neurology (33 citations) and Biophysics (18 citations). Doris Thu has collaborated with scholars based in Switzerland, New Zealand and Germany. Frequent co-authors include Richard L. M. Faull, Henry J. Waldvogel, Ruth Luthi‐Carter, Lynette J. Tippett, Virginia M. Hogg, Beth J. Synek, Dorothy E. Oorschot, Alexandre Kuhn, Alissa L. Nana and Eric Kim. Their work appears in journals such as Journal of Huntington s Disease, Nature Methods, Advances in experimental medicine and biology, Journal of Neuropathology & Experimental Neurology and Brain.

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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