Zhen Jiang

975 citations
13 papers · 685 · h-index 9

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Kruppel-like factors research 2
    • RNA Research and Splicing 2
    • Mitochondrial Function and Pathology 2
    • Gene expression and cancer classification 2
    • Muscle Physiology and Disorders 2
    • Protein Degradation and Inhibitors 1
    • Metabolism, Diabetes, and Cancer 1

Zhen Jiang

12 papers receiving 669 citations

Peers

Zhen Jiang
Comparison fields: 5 of 76
  • Neurology 247
  • Genetics 110
  • Molecular Biology 465
  • Neurology 54
  • Physiology 133
Replace Caterina Peggion with:
Caterina Peggion Italy
Ekaterina V. Ilieva Spain
Magali Michaud Germany
Xiang Yin China
Illari Salvatori Italy
Norah K. Algarzae Saudi Arabia
Joanna Riddoch‐Contreras United Kingdom
Toni Ahtoniemi Finland
Alvin Joselin Canada
Emmanuelle C. Genin France
Zhen Jiang relative to Caterina Peggion Italy Caterina Peggion's profile →
Citations per field
00.5×1.5×2.5×
Caterina Peggion · 1×
Citations per year

Countries citing papers authored by Zhen Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016308
2 2006157
3 201547
4 201843
5 200838
6 201929
7 202218
8 202216
9 201915
10 20228
11 20244
12 20132
13 20230

About Zhen Jiang

Zhen Jiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Automotive Engineering, having authored 13 papers that have together received 685 indexed citations. Recurring topics across this work include Kruppel-like factors research (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), RNA Research and Splicing (2 papers), Mitochondrial Function and Pathology (2 papers), Gene expression and cancer classification (2 papers), Muscle Physiology and Disorders (2 papers), Protein Degradation and Inhibitors (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Neurology (247 citations), Genetics (110 citations), Molecular Biology (465 citations), Neurology (54 citations) and Physiology (133 citations). Zhen Jiang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Robert Gentleman, Xinglong Wang, Wenzhang Wang, Sandra L. Siedlak, Jingjing Liang, Hisashi Fujioka, Luwen Wang, Hu Li, Sirui Jiang and Paul H. Lerou. Their work appears in journals such as Bioinformatics, Acta Physico-Chimica Sinica, Nature Medicine, Journal of Pharmacology and Experimental Therapeutics and Cell Metabolism.

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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