Fatma Gül

508 citations
8 papers · 364 · h-index 5

Impact in

  • Neurology top 5%
    • Botulinum Toxin and Related Neurological Disorders
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Stroke Rehabilitation and Recovery

Papers in

    • Botulinum Toxin and Related Neurological Disorders 8
    • Stroke Rehabilitation and Recovery 1

Fatma Gül

8 papers receiving 352 citations

Peers

Fatma Gül
Comparison fields: 5 of 40
  • Neurology 301
  • Rehabilitation 93
  • Psychiatry and Mental health 76
  • Cellular and Molecular Neuroscience 40
  • Neurology 10
Replace Maria Francesca Micello with:
Maria Francesca Micello Italy
Steven R. Edgley United States
Nicoletta Cinone Italy
Svetlana E. Khatkova Russia
AB Ward United Kingdom
Tae Mo Chung Brazil
Benjamin Zakine France
Andrea Stenner Germany
Marzia Millevolte Italy
Emily Patrick Australia
Fatma Gül relative to Maria Francesca Micello Italy Maria Francesca Micello's profile →
Citations per field
00.5×1.5×2.2×
Maria Francesca Micello · 1×
Citations per year

Countries citing papers authored by Fatma Gül

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Gül

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2015177
2 201783
3 201671
4 201719
5 20249
6 20152
7 20242
8 20161

About Fatma Gül

Fatma Gül is a scholar working on Neurology, Rehabilitation, Psychiatry and Mental health, Cognitive Neuroscience and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 364 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (8 papers), Streptococcal Infections and Treatments (1 paper), Stroke Rehabilitation and Recovery (1 paper), Cerebral Palsy and Movement Disorders (1 paper) and Pain Management and Placebo Effect (1 paper). The work is most often cited by research in Neurology (301 citations), Rehabilitation (93 citations), Psychiatry and Mental health (76 citations), Cellular and Molecular Neuroscience (40 citations) and Neurology (10 citations). Fatma Gül has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Jean‐Michel Graciès, Svetlana E. Khatkova, Steven R. Edgley, Christina M. Marciniak, Marta Dagmara Banach, Thierry Deltombe, Philippe Picaut, Heather W. Walker, Peter McAllister and Claire Vilain. Their work appears in journals such as PM&R, The Lancet Neurology, Neuromodulation Technology at the Neural Interface, Journal of Child Neurology and Neurology.

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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