Cuixia Tian

1.5k citations
41 papers · 675 · h-index 15

Impact in

  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • Mitochondrial Function and Pathology

Papers in

Cuixia Tian

41 papers receiving 664 citations

Peers

Cuixia Tian
Comparison fields: 5 of 96
  • Genetics 107
  • Molecular Biology 439
  • Cellular and Molecular Neuroscience 102
  • Physiology 100
  • Immunology 78
Replace Frances J. Evesson with:
Frances J. Evesson Australia
Naohide Ageyama Japan
William Coley United States
Pedro M. Rodríguez Cruz United Kingdom
Levent Akyüz Germany
Ashwin Dalal India
Russell J. Butterfield United States
Takao Hijikata Japan
Gloria Galloway United States
Katsutoshi Yuasa Japan
Cuixia Tian relative to Frances J. Evesson Australia Frances J. Evesson's profile →
Citations per field
00.5×2.7×
Frances J. Evesson · 1×
Citations per year

Countries citing papers authored by Cuixia Tian

Since Specialization
Citations

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

Fields of papers citing papers by Cuixia Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 202055
3 202054
4 200639
5 201639
6 201939
7 200838
8 201830
9 200228
10 202026
11 201923
12 202321
13 202219
14 202218
15 201415
16 202014
17 200614
18 200314
19 202012
20 202311

About Cuixia Tian

Cuixia Tian is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Genetics and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 675 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (26 papers), Genetic Neurodegenerative Diseases (6 papers), Nutrition and Health in Aging (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Immune Cell Function and Interaction (4 papers), Cardiomyopathy and Myosin Studies (3 papers), T-cell and B-cell Immunology (3 papers) and Children's Physical and Motor Development (3 papers). The work is most often cited by research in Genetics (107 citations), Molecular Biology (439 citations), Cellular and Molecular Neuroscience (102 citations), Physiology (100 citations) and Immunology (78 citations). Cuixia Tian has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Brenda Wong, I. Rybalsky, Meilan M. Rutter, James E. Crowe, James N. Higginbotham, Paul S. Horn, Bryan E. Shepherd, Maurice C. Bondurant, Hemant Sawnani and Min Huang. Their work appears in journals such as Muscle & Nerve, Neuromuscular Disorders, Neurology, The Journal of Pediatrics and Blood.

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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