Tao Zu

4.9k citations
23 papers · 2.8k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Tao Zu

22 papers receiving 2.7k citations

Hit Papers

RAN proteins and RNA foci from antisense transcripts in C9ORF72 ALS and frontotemporal dementia 2013 · 577 citations
5772013202620172021100200300400500

Peers

Tao Zu
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 1.5k
  • Neurology 1.0k
  • Genetics 556
  • Molecular Biology 2.0k
  • Neurology 165
Replace Chantal Sellier with:
Chantal Sellier France
Colleen M. Dewey United States
Thomas J. Kwiatkowski United States
Kristin Rentzsch Germany
H. Brent Clark United States
Marka van Blitterswijk United States
Karen Jansen‐West United States
Yubing Lu United States
Sibylle Jablonka Germany
K. H. Fischbeck United States
Tao Zu relative to Chantal Sellier France Chantal Sellier's profile →
Citations per field
00.5×3.5×
Chantal Sellier · 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-authorship network

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
#Work
1 20250
2 202213
3 202116
4 202010
5 202028
6 2020102
7 201847
8 2017100
9 2016265
10 2015238
11 201453
12 201435
13 20087
14 200866
15 200655
16 2006178
17 2006319
18 2005176
19 2004195
20 2003235

About Tao Zu

Tao Zu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Genetics, Molecular Biology and Biochemistry, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (9 papers), RNA Research and Splicing (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Muscle Physiology and Disorders (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), RNA regulation and disease (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Neurology (1.0k citations), Genetics (556 citations), Molecular Biology (2.0k citations) and Neurology (165 citations). Tao Zu has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Laura P.W. Ranum, H. Brent Clark, Harry T. Orr, Yuanjing Liu, Tammy Reid, Huda Y. Zoghbi, Lisa Duvick, Mónica Báñez-Coronel, Juan C. Troncoso and Anthony T. Yachnis. Their work appears in journals such as Neuron, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Human Molecular Genetics and Neurobiology of Aging.

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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