Neta Zach

1.2k citations
20 papers · 528 · h-index 12

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 13
    • Parkinson's Disease Mechanisms and Treatments 4
    • Muscle Physiology and Disorders 2

Neta Zach

20 papers receiving 524 citations

Peers

Neta Zach
Comparison fields: 5 of 74
  • Neurology 376
  • Genetics 202
  • Neurology 44
  • Cellular and Molecular Neuroscience 78
  • Cognitive Neuroscience 69
Replace Ilaria Martinelli with:
Ilaria Martinelli Italy
T. Ryan Price United States
Karissa Arthur United States
Henk-Jan Westeneng Netherlands
Blaž Koritnik Slovenia
Hannelore K. van der Burgh Netherlands
Carla D’Ascenzo Italy
Klaus Jan Rath Germany
Kouichi Mizoguchi Japan
Amy W. Butler United Kingdom
Neta Zach relative to Ilaria Martinelli Italy Ilaria Martinelli's profile →
Citations per field
00.5×10×13.5×
Ilaria Martinelli · 1×
Citations per year

Countries citing papers authored by Neta Zach

Since Specialization
Citations

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

Fields of papers citing papers by Neta Zach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014188
2 201348
3 201643
4 200833
5 201832
6 201531
7 201530
8 202222
9 201622
10 201613
11 201912
12 200511
13 201211
14 202110
15 20239
16 20236
17 20213
18 20232
19 20161
20 20161

About Neta Zach

Neta Zach is a scholar working on Neurology, Molecular Biology, Genetics, Cognitive Neuroscience and Biomaterials, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Motor Control and Adaptation (3 papers), biodegradable polymer synthesis and properties (3 papers), Action Observation and Synchronization (2 papers), Muscle activation and electromyography studies (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Neurology (376 citations), Genetics (202 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (78 citations) and Cognitive Neuroscience (69 citations). Neta Zach has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Igor Katsovskiy, Ervin Sinani, Melanie Leitner, Merit Cudkowicz, Alexander Sherman, Jason Walker, David Schoenfeld, Nazem Atassi, Amy M. Shui and James D. Berry. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Neurology, PLoS ONE, Alzheimer s & Dementia and Neurotherapeutics.

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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