Eva Nelis

7.8k citations
73 papers · 4.2k · h-index 31

Impact in

    • Hereditary Neurological Disorders
    • Genetic Neurodegenerative Diseases
  • Neurology top 0.5%
    • Neurological diseases and metabolism
    • Botulinum Toxin and Related Neurological Disorders
    • Peripheral Neuropathies and Disorders

Papers in

Eva Nelis

70 papers receiving 4.1k citations

Peers

Eva Nelis
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 3.5k
  • Neurology 1.1k
  • Neurology 1.1k
  • Cell Biology 732
  • Genetics 262
Replace Michaela Auer‐Grumbach with:
Michaela Auer‐Grumbach Austria
Jamïlé Hazan France
Els De Vriendt Belgium
Matthew B. Harms United States
K. H. Fischbeck United States
Mireille Cossée France
Tao Zu United States
Antonio Servadio Italy
Laura E. Warner United States
Alanna E. McCall United States
Eva Nelis relative to Michaela Auer‐Grumbach Austria Michaela Auer‐Grumbach's profile →
Citations per field
00.5×1.7×
Michaela Auer‐Grumbach · 1×
Citations per year

Countries citing papers authored by Eva Nelis

Since Specialization
Citations

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

Fields of papers citing papers by Eva Nelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991477
2 1996327
3 1992314
4 1996287
5 1999175
6 1999173
7 2001163
8 1998132
9 1992125
10 1999121
11 2008119
12 1996116
13 1997115
14 2002111
15 1993103
16
Charcot-Marie-Tooth disease and related peripheral neuropathies.
199796
17 200391
18 199489
19 200067
20 199666

About Eva Nelis

Eva Nelis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cell Biology and Neurology, having authored 73 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (60 papers), Genetic Neurodegenerative Diseases (24 papers), Neurological diseases and metabolism (16 papers), Botulinum Toxin and Related Neurological Disorders (9 papers), Signaling Pathways in Disease (8 papers), Cellular Mechanics and Interactions (6 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.5k citations), Neurology (1.1k citations), Neurology (1.1k citations), Cell Biology (732 citations) and Genetics (262 citations). Eva Nelis has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Christine Van Broeckhoven, Vincent Timmerman, Peter De Jonghe, Peter Raeymaekers, Neva E. Haites, James R. Lupski, A. Löfgren, J. J. Martin, Pieter A. Bolhuis and C. Ceuterick. Their work appears in journals such as Human Mutation, Neurology, Neuromuscular Disorders, Journal of Medical Genetics and Annals of 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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