Julia Gräf

669 citations
20 papers · 330 · h-index 10

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Botulinum Toxin and Related Neurological Disorders
    • Genetic Neurodegenerative Diseases

Papers in

    • Parkinson's Disease Mechanisms and Treatments 8
    • Neurological disorders and treatments 8
    • Advanced biosensing and bioanalysis techniques 1

Julia Gräf

18 papers receiving 320 citations

Peers

Julia Gräf
Comparison fields: 5 of 74
  • Neurology 134
  • Neurology 28
  • Cellular and Molecular Neuroscience 53
  • Oncology 58
  • Physiology 43
Replace Sonya Steele with:
Sonya Steele United States
Jonathan D. Krett Canada
Damiano Baroncini Italy
Alessandro F. Fois Australia
Juan José Garcı́a-Peñas Spain
Sylvia Klineova United States
Joaquín A. Peña Venezuela
Verónica Cabreira United Kingdom
Itxaso Martì Spain
Giulia Amore Italy
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Citations per field
00.5×1.5×2.3×
Sonya Steele · 1×
Citations per year

Countries citing papers authored by Julia Gräf

Since Specialization
Citations

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

Fields of papers citing papers by Julia Gräf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201571
2 200951
3 201229
4 201829
5 201422
6 201422
7 201221
8 201518
9 201714
10 197211
11 20139
12 20237
13 20146
14 20145
15 20115
16 20125
17
Bewertung der Umsetzung des SGB II aus gleichstellungspolitischer Sicht: Abschlussbericht
20093
18 20132
19 20170
20 20150

About Julia Gräf

Julia Gräf is a scholar working on Neurology, Molecular Biology, Epidemiology, General Health Professions and Sociology and Political Science, having authored 20 papers that have together received 330 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (8 papers), Restless Legs Syndrome Research (3 papers), Sociology and Education Studies (2 papers), Social and Demographic Issues in Germany (2 papers), Behavioral and Psychological Studies (1 paper), Metabolism and Genetic Disorders (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Neurology (134 citations), Neurology (28 citations), Cellular and Molecular Neuroscience (53 citations), Oncology (58 citations) and Physiology (43 citations). Julia Gräf has collaborated with scholars based in Germany, Slovakia and Italy. Frequent co-authors include Christine Klein, Meike Kasten, Eva‐Juliane Vollstedt, Roberto Burioni, Karin Wisskirchen, Nicola Clementi, Massimo Clementi, Vera Tadić, Helga Frank and Hannelore Daniel. Their work appears in journals such as Movement Disorders, Parkinsonism & Related Disorders, Brain Research, American Journal of Clinical Nutrition and Gut.

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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