Lixiang Yang

848 citations
34 papers · 633 indexed · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases

Papers in

Lixiang Yang

34 papers receiving 629 citations

Peers

Lixiang Yang
Comparison fields: 5 of 110
  • Cancer Research 89
  • Molecular Biology 322
  • Neurology 61
  • Neurology 26
  • Computational Theory and Mathematics 40
Replace Ashok Reddy Dinasarapu with:
Ashok Reddy Dinasarapu United States
Lina Zhou China
Lijun Zhou China
Giuseppina Amodio Italy
Zinan Li China
Sayaka Matsumoto Japan
Sven H. Schmidt Germany
Lixiang Yang relative to Ashok Reddy Dinasarapu United States Ashok Reddy Dinasarapu's profile →
Citations per field
00.5×5.7×
Ashok Reddy Dinasarapu · 1×
Citations per year

Countries citing papers authored by Lixiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lixiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202339
3 20232
4 20224
5 20215
6 20213
7 202055
8
Effects of High?Lipid Diet Supplemented with Bile Acid on Growth Performance, Muscle Nutritional Component Contents, Digestive Enzyme Activities and Serum Biochemical Indices of Juvenile Schizothorax prenanti
20192
9 20192
10 201928
11 201632
12 201621
13 201541
14 201513
15 201516
16 20148
17 201428
18 201310
19 201312
20 200720

About Lixiang Yang

Lixiang Yang is a scholar working on Cancer Research, Molecular Biology, Oncology, Gastroenterology and Bioengineering, having authored 34 papers that have together received 633 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (3 papers), Neurosurgical Procedures and Complications (2 papers), Microtubule and mitosis dynamics (2 papers), MicroRNA in disease regulation (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (322 citations), Neurology (61 citations), Neurology (26 citations) and Computational Theory and Mathematics (40 citations). Lixiang Yang has collaborated with scholars based in China, Singapore and Sweden. Frequent co-authors include Huilin Cheng, Xin Liu, Ying‐Tang Lu, Xun Chen, Xiaojuan He, Lihua Zhang, Junhui Chen, Yuhai Wang, Xiaojun Qiu and Guan Sun. Their work appears in journals such as Small, Journal of Molecular Neuroscience, Journal of Chromatography A, Nutrients and Cellular and Molecular Neurobiology.

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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