Tao Zu

5.0k citations
25 papers · 3.9k · 2 hit papers · h-index 20

Impact in

Papers in

Tao Zu

25 papers receiving 3.8k citations

Tao Zu's Hit Papers

RAN proteins and RNA foci from antisense transcripts in C9ORF72 ALS and frontotemporal dementia 2013 · 642 citations
6420+5+10Years since publication200400600

Peers

Tao Zu
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 2.0k
  • Neurology 1.5k
  • Genetics 794
  • Molecular Biology 2.7k
  • Neurology 212
Replace Paymaan Jafar‐Nejad with:
Paymaan Jafar‐Nejad United States
H. Brent Clark United States
Chantal Sellier France
Shuying Sun United States
Thomas J. Kwiatkowski United States
Sylvie Forlani France
Véronique Belzil Canada
Colleen M. Dewey United States
Elke Bogaert Belgium
Lillian M. Daughrity United States
Tao Zu relative to Paymaan Jafar‐Nejad United States Paymaan Jafar‐Nejad's profile →
Citations per field
00.5×2×2.8×
Paymaan Jafar‐Nejad · 1×
Citations per year

Countries citing papers authored by Tao Zu

Since Specialization
Citations

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

Fields of papers citing papers by Tao Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Non-ATG–initiated translation directed by microsatellite expansions
Hit paper breakdown →
2010726
2
RAN proteins and RNA foci from antisense transcripts in C9ORF72 ALS and frontotemporal dementia
Hit paper breakdown →
2013642
3 2006364
4 2016299
5 2015267
6 2003260
7 2004221
8 2006200
9 2005192
10 2017111
11 2020110
12 201978
13 200869
14 200660
15 201460
16 201854
17 201435
18 202034
19 202125
20 202120

About Tao Zu

Tao Zu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Genetics, having authored 25 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (10 papers), RNA Research and Splicing (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (5 papers), Muscle Physiology and Disorders (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Neurology (1.5k citations), Genetics (794 citations), Molecular Biology (2.7k citations) and Neurology (212 citations). Tao Zu has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Laura P.W. Ranum, H. Brent Clark, Harry T. Orr, Yuanjing Liu, Tammy S. Reid, Huda Yahya Zoghbi, Lisa A. Duvick, Mónica Báñez-Coronel, Juan Carlos Troncoso and Olga Pletniková. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Human Molecular Genetics and Nature Genetics.

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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