Xiang Cheng

797 citations
34 papers · 629 · h-index 13

Impact in

Papers in

    • Circular RNAs in diseases 10
    • RNA Research and Splicing 8
    • Extracellular vesicles in disease 3
    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 6

Xiang Cheng

34 papers receiving 618 citations

Peers

Xiang Cheng
Comparison fields: 5 of 99
  • Developmental Neuroscience 98
  • Biological Psychiatry 44
  • Neurology 89
  • Cancer Research 138
  • Aging 10
Replace Giulia Ferrari‐Toninelli with:
Giulia Ferrari‐Toninelli Italy
Koichi Kawada Japan
Melissa Schepers Netherlands
Raghavendra Upadhya United States
Jiqing Cao China
Meiling Tian China
Guiping Kong United Kingdom
Oscar Hidalgo‐Lanussa Colombia
Amir Dori Israel
Yun Yu China
Xiang Cheng relative to Giulia Ferrari‐Toninelli Italy Giulia Ferrari‐Toninelli's profile →
Citations per field
00.5×2.8×
Giulia Ferrari‐Toninelli · 1×
Citations per year

Countries citing papers authored by Xiang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 201591
3 201958
4 201449
5 201329
6 201425
7 201125
8 201724
9 201720
10 201916
11 202215
12 201415
13 202212
14 202012
15 202111
16 202211
17 202011
18 202110
19 201610
20 20248

About Xiang Cheng

Xiang Cheng is a scholar working on Molecular Biology, Cancer Research, Developmental Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 34 papers that have together received 629 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (10 papers), RNA Research and Splicing (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Cancer-related molecular mechanisms research (6 papers), Alzheimer's disease research and treatments (3 papers), Extracellular vesicles in disease (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Developmental Neuroscience (98 citations), Biological Psychiatry (44 citations), Neurology (89 citations), Cancer Research (138 citations) and Aging (10 citations). Xiang Cheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guohua Jin, Jianbing Qin, Xinhua Zhang, Meiling Tian, Haoming Li, Xin Yi, Jinzhong Chen, Xiaohui Sun, Weiwei Chen and Dekang Nie. Their work appears in journals such as Neurochemical Research, In Vitro Cellular & Developmental Biology - Animal, Journal of Biological Chemistry, APOPTOSIS and Journal of Cellular and Molecular Medicine.

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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