Wei Xiang

852 citations
40 papers · 710 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer

Papers in

Wei Xiang

38 papers receiving 700 citations

Peers

Wei Xiang
Comparison fields: 5 of 96
  • Cancer Research 112
  • Immunology 131
  • Drug Discovery 1
  • Rheumatology 58
  • Geriatrics and Gerontology 12
Replace Lixia Tang with:
Lixia Tang China
Maryam Shahhoseini Iran
Quangang Chen China
Huili Zhu China
Iolanda Spera Italy
Shao-yu Chen United States
Lixiang Wang Japan
Kyung A Cho South Korea
Jae‐Pil Jeon South Korea
Wei Xiang relative to Lixia Tang China Lixia Tang's profile →
Citations per field
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Lixia Tang · 1×
Citations per year

Countries citing papers authored by Wei Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201850
3 201347
4 201745
5 201840
6 202139
7 201838
8 201737
9 201533
10 201829
11 201727
12 201722
13 201920
14 201319
15 201518
16 201617
17 202114
18 202313
19
The expression of EBV-encoded LMP1 in young patients with lupus nephritis.
201512
20
Association of miRNA-145 expression in vascular smooth muscle cells with vascular damages in patients with lupus nephritis.
201512

About Wei Xiang

Wei Xiang is a scholar working on Immunology, Pathology and Forensic Medicine, Rheumatology, Molecular Biology and Cancer Research, having authored 40 papers that have together received 710 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Vitamin D Research Studies (4 papers), Aquaculture disease management and microbiota (3 papers), Immune Response and Inflammation (3 papers), Viral Infections and Immunology Research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Autism Spectrum Disorder Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (112 citations), Immunology (131 citations), Drug Discovery (1 citation), Rheumatology (58 citations) and Geriatrics and Gerontology (12 citations). Wei Xiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wang Liao, Yan Ping Ding, Xiaojie He, Zhu-Wen Yi, Paul Yao, Xiaodong Huang, Weiguo Xie, Ling Li, Feifei Wang and Rui Wang. Their work appears in journals such as Biomedicine & Pharmacotherapy, PLoS ONE, Theranostics, Journal of Cellular and Molecular Medicine and Molecular Oncology.

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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