Xiaoming Yang

2.8k citations
84 papers · 1.8k · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • Genomics, phytochemicals, and oxidative stress
    • Inflammasome and immune disorders
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing

Papers in

    • Ubiquitin and proteasome pathways 7
    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 5
    • Inflammasome and immune disorders 5

Xiaoming Yang

77 papers receiving 1.7k citations

Peers

Xiaoming Yang
Comparison fields: 5 of 121
  • Cancer Research 253
  • Molecular Biology 1.0k
  • Hepatology 112
  • Immunology 258
  • Nuclear Energy and Engineering 5
Replace Wenfeng Zhang with:
Wenfeng Zhang China
Naoki Takahashi Japan
Hui Jiang China
Haoshu Fang China
Jianlin Ren China
Shu Li China
Kang Liu China
Xiaoxia Zuo China
Kiseok Jang South Korea
Xiaoming Yang relative to Wenfeng Zhang China Wenfeng Zhang's profile →
Citations per field
00.5×1.5×2.3×
Wenfeng Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011275
2 2019126
3 201072
4 200170
5 200669
6 202255
7 200953
8 201449
9 201149
10 201547
11 201144
12 200443
13 201439
14 201636
15 200931
16 201229
17 201429
18 201128
19 201827
20 201727

About Xiaoming Yang

Xiaoming Yang is a scholar working on Molecular Biology, Immunology, Hepatology, Cancer Research and Surgery, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), Pancreatic function and diabetes (7 papers), Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Epigenetics and DNA Methylation (5 papers), Inflammasome and immune disorders (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Cancer Research (253 citations), Molecular Biology (1.0k citations), Hepatology (112 citations), Immunology (258 citations) and Nuclear Energy and Engineering (5 citations). Xiaoming Yang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Chang‐Yan Li, Yi‐Qun Zhan, Miao Yu, Chang‐Hui Ge, Wang‐Xiang Xu, Liujun Tang, Jian Wang, Yanzhi Yuan, Rong‐Hua Yin and Zhongxian Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, FEBS Journal, Cellular Signalling and Journal of Cellular Biochemistry.

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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