Neta Zach

1.2k total citations
20 papers, 528 citations indexed

About

Neta Zach is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Neta Zach has authored 20 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Neta Zach's work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Neta Zach is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Neta Zach collaborates with scholars based in United States, Israel and Japan. Neta Zach's co-authors include Ervin Sinani, Igor Katsovskiy, Merit Cudkowicz, Melanie Leitner, Alexander Sherman, Jason Walker, David Schoenfeld, Nazem Atassi, James D. Berry and Amy M. Shui and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neurology.

In The Last Decade

Neta Zach

20 papers receiving 524 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neta Zach United States 12 376 202 136 78 69 20 528
Henk-Jan Westeneng Netherlands 11 514 1.4× 236 1.2× 151 1.1× 74 0.9× 26 0.4× 12 637
Karissa Arthur United States 5 319 0.8× 171 0.8× 129 0.9× 53 0.7× 26 0.4× 9 458
T. Ryan Price United States 4 301 0.8× 120 0.6× 153 1.1× 69 0.9× 21 0.3× 4 468
Ilaria Martinelli Italy 11 358 1.0× 236 1.2× 192 1.4× 120 1.5× 22 0.3× 40 570
Carla D’Ascenzo Italy 14 321 0.9× 242 1.2× 209 1.5× 203 2.6× 19 0.3× 22 532
Blaž Koritnik Slovenia 12 174 0.5× 97 0.5× 159 1.2× 75 1.0× 113 1.6× 43 466
Hannelore K. van der Burgh Netherlands 9 273 0.7× 123 0.6× 43 0.3× 40 0.5× 27 0.4× 9 372
Cinzia Tiloca Italy 9 283 0.8× 114 0.6× 96 0.7× 46 0.6× 7 0.1× 15 347
Amy W. Butler United Kingdom 7 113 0.3× 62 0.3× 202 1.5× 53 0.7× 15 0.2× 9 410
Asma Azmani Netherlands 7 413 1.1× 64 0.3× 141 1.0× 53 0.7× 26 0.4× 8 553

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-authorship network of co-authors of Neta Zach

This figure shows the co-authorship network connecting the top 25 collaborators of Neta Zach. A scholar is included among the top collaborators of Neta Zach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neta Zach. Neta Zach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Fuqiang, Takeshi Hirakawa, Kazunori Suzuki, et al.. (2023). Electrical impedance myography detects dystrophin-related muscle changes in mdx mice. Skeletal Muscle. 13(1). 19–19. 2 indexed citations
2.
Smith, Erin N., et al.. (2023). Plasma neurofilament light levels show elevation two years prior to diagnosis of amyotrophic lateral sclerosis in the UK Biobank. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(1-2). 170–176. 9 indexed citations
3.
Nakashima, Masato, Hidenori Kamiguchi, Neta Zach, et al.. (2023). Urine titin as a novel biomarker for Duchenne muscular dystrophy. Neuromuscular Disorders. 33(4). 302–308. 6 indexed citations
4.
Hartmaier, Susan L., Thomas Rhodes, Suzanne F. Cook, et al.. (2022). Qualitative measures that assess functional disability and quality of life in ALS. Health and Quality of Life Outcomes. 20(1). 12–12. 22 indexed citations
5.
Cook, Suzanne F., Thomas Rhodes, Courtney Schlusser, et al.. (2021). A Descriptive Review of Global Real World Evidence Efforts to Advance Drug Discovery and Clinical Development in Amyotrophic Lateral Sclerosis. Frontiers in Neurology. 12. 770001–770001. 10 indexed citations
6.
Bedlack, Richard, Paul E. Barkhaus, Michael S. Bereman, et al.. (2021). ALSUntangled 59: Tamoxifen. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 22(7-8). 595–598. 3 indexed citations
7.
Schoenfeld, David, Dianne M. Finkelstein, Eric A. Macklin, et al.. (2019). Design and analysis of a clinical trial using previous trials as historical control. Clinical Trials. 16(5). 531–538. 12 indexed citations
8.
Garcia‐Miralles, Marta, Jing Tan, Carola I. Radulescu, et al.. (2018). Laquinimod Treatment Improves Myelination Deficits at the Transcriptional and Ultrastructural Levels in the YAC128 Mouse Model of Huntington Disease. Molecular Neurobiology. 56(6). 4464–4478. 32 indexed citations
9.
Zach, Neta, Nazem Atassi, Adriano Chiò, et al.. (2016). The ALS Stratification Prize-Using the Power of Big Data and Crowdsourcing for Catalyzing Breakthroughs in Amyotrophic Lateral Sclerosis (ALS) (P5.102). Neurology. 86(16_supplement). 1 indexed citations
10.
Taylor, Albert A., Christina Fournier, Meraida Polak, et al.. (2016). Predicting disease progression in amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 3(11). 866–875. 43 indexed citations
11.
Weil, Clara, et al.. (2016). Epidemiology of Amyotrophic Lateral Sclerosis: A Population-Based Study in Israel. Neuroepidemiology. 47(2). 76–81. 13 indexed citations
12.
Haas, Magali, Diane Stephenson, Klaus Romero, et al.. (2016). Big data to smart data in Alzheimer's disease: Real‐world examples of advanced modeling and simulation. Alzheimer s & Dementia. 12(9). 1022–1030. 22 indexed citations
13.
Schoenfeld, David, Robert Küffner, Eric A. Macklin, et al.. (2016). The proper use of historical controls in ALS trials. Faculty of 1000 Research Ltd. 5. 1 indexed citations
14.
Zach, Neta, David L. Ennist, Albert A. Taylor, et al.. (2015). Being PRO-ACTive: What can a Clinical Trial Database Reveal About ALS?. Neurotherapeutics. 12(2). 417–423. 30 indexed citations
15.
Bacci, Elizabeth D., et al.. (2015). Item response theory analysis of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised in the Pooled Resource Open-Access ALS Clinical Trials Database. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 17(3-4). 157–167. 31 indexed citations
16.
Atassi, Nazem, James D. Berry, Amy M. Shui, et al.. (2014). The PRO-ACT database. Neurology. 83(19). 1719–1725. 188 indexed citations
17.
Fekete, Tomer, Neta Zach, Lilianne R. Mujica‐Parodi, & Martin R. Turner. (2013). Multiple Kernel Learning Captures a Systems-Level Functional Connectivity Biomarker Signature in Amyotrophic Lateral Sclerosis. PLoS ONE. 8(12). e85190–e85190. 48 indexed citations
18.
Zach, Neta, et al.. (2012). Single Neurons in M1 and Premotor Cortex Directly Reflect Behavioral Interference. PLoS ONE. 7(3). e32986–e32986. 11 indexed citations
19.
Zach, Neta, et al.. (2008). Emergence of Novel Representations in Primary Motor Cortex and Premotor Neurons during Associative Learning. Journal of Neuroscience. 28(38). 9545–9556. 33 indexed citations
20.
Zach, Neta, et al.. (2005). Segregation between acquisition and long‐term memory in sensorimotor learning. European Journal of Neuroscience. 22(9). 2357–2362. 11 indexed citations

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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