Shu Tu

882 citations
12 papers · 520 · h-index 9

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics
    • melanin and skin pigmentation

Papers in

    • Single-cell and spatial transcriptomics 2
    • Congenital heart defects research 2
    • Developmental Biology and Gene Regulation 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Hearing, Cochlea, Tinnitus, Genetics 6

Shu Tu

12 papers receiving 515 citations

Peers

Shu Tu
Comparison fields: 5 of 75
  • Sensory Systems 73
  • Cell Biology 167
  • Molecular Biology 300
  • Neurology 29
  • Developmental Biology 7
Replace Ksenia Gnedeva with:
Ksenia Gnedeva United States
Oleg V. Bulgakov United States
Illar Pata Estonia
Benton Tong United States
Samin A. Sajan United States
Kimiko Fukuda Japan
Jennifer Idol United States
Katherine Shim United States
Moira Crosier United Kingdom
Christopher F. Hoth United States
Shu Tu relative to Ksenia Gnedeva United States Ksenia Gnedeva's profile →
Citations per field
00.5×3.5×
Ksenia Gnedeva · 1×
Citations per year

Countries citing papers authored by Shu Tu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011166
2 201287
3 201661
4 202058
5 201337
6 200634
7 201034
8 202223
9 202110
10 20247
11 20232
12 20251

About Shu Tu

Shu Tu is a scholar working on Molecular Biology, Sensory Systems, Cell Biology, Cancer Research and Epidemiology, having authored 12 papers that have together received 520 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Single-cell and spatial transcriptomics (2 papers), Congenital heart defects research (2 papers), Developmental Biology and Gene Regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Coronary Artery Anomalies (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Sensory Systems (73 citations), Cell Biology (167 citations), Molecular Biology (300 citations), Neurology (29 citations) and Developmental Biology (7 citations). Shu Tu has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Stephen L. Johnson, Jian Zuo, Vikrant Rai, Megan Beers Wood, Hao Feng, Wai‐Man Wong, Sachiko Tai, Selay Lam, Anthony W.I. Lo and Kahlia Wong. Their work appears in journals such as Developmental Cell, eLife, The FASEB Journal, The American Journal of Human Genetics and Clinical and Vaccine Immunology.

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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