Sinem Tunç

490 citations
20 papers · 257 · h-index 9

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Genetic Neurodegenerative Diseases
    • Nuclear Receptors and Signaling

Papers in

    • Neurological disorders and treatments 8
    • Parkinson's Disease Mechanisms and Treatments 7
    • Neurological diseases and metabolism 3
    • Mitochondrial Function and Pathology 4

Sinem Tunç

20 papers receiving 251 citations

Peers

Sinem Tunç
Comparison fields: 5 of 53
  • Neurology 176
  • Neurology 56
  • Cellular and Molecular Neuroscience 79
  • Cognitive Neuroscience 32
  • Rheumatology 25
Replace Sandrina Weber with:
Sandrina Weber Germany
Heike Pawlack Germany
Hugo Morales‐Briceño Australia
Linda Borellini Italy
Haitian Nan China
Yanetza González-Zaldívar Cuba
Monia Ginevrino Italy
Sebastian Loens Germany
Siamak Karkheiran Iran
Marta Panzeri Italy
Sinem Tunç relative to Sandrina Weber Germany Sandrina Weber's profile →
Citations per field
00.5×3.5×
Sandrina Weber · 1×
Citations per year

Countries citing papers authored by Sinem Tunç

Since Specialization
Citations

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

Fields of papers citing papers by Sinem Tunç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201267
2 201733
3 201827
4 201422
5 201518
6 201714
7 201714
8 20238
9 20198
10 20198
11 20177
12 20206
13 20196
14 20225
15 20234
16 20183
17 20222
18 20172
19 20192
20 20221

About Sinem Tunç

Sinem Tunç is a scholar working on Neurology, Molecular Biology, Cognitive Neuroscience, Rheumatology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 257 indexed citations. Recurring topics across this work include Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Neuroscience and Music Perception (3 papers), Neurological diseases and metabolism (3 papers) and Restless Legs Syndrome Research (2 papers). The work is most often cited by research in Neurology (176 citations), Neurology (56 citations), Cellular and Molecular Neuroscience (79 citations), Cognitive Neuroscience (32 citations) and Rheumatology (25 citations). Sinem Tunç has collaborated with scholars based in Germany, Ireland and Canada. Frequent co-authors include Christine Klein, Norbert Brüggemann, Meike Kasten, Alexander Münchau, Katja Lohmann, Anne Weißbach, Vera Tadić, Tobias Bäumer, Johann Hagenah and Julia Gräf. Their work appears in journals such as Movement Disorders, Parkinsonism & Related Disorders, The Cerebellum, Annals of Neurology and Scientific Reports.

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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