Meng Xia

3.1k citations
95 papers · 2.4k · h-index 27

Impact in

Papers in

    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 6
    • RNA modifications and cancer 13
    • RNA Research and Splicing 7
    • Cancer-related gene regulation 5
    • Circular RNAs in diseases 5

Meng Xia

93 papers receiving 2.4k citations

Peers

Meng Xia
Comparison fields: 5 of 103
  • Cancer Research 469
  • Hepatology 151
  • Molecular Biology 1.2k
  • Rheumatology 226
  • Reproductive Medicine 109
Replace Ronald Barbaras with:
Ronald Barbaras France
Jun Zhou China
Daria Capece Italy
Jun Gao China
Changjie Chen China
Peti Thuwajit Thailand
Chanitra Thuwajit Thailand
Kohei Taniguchi Japan
Yanhong Gu China
Patrick Viatour United States
Meng Xia relative to Ronald Barbaras France Ronald Barbaras's profile →
Citations per field
00.5×2×4×6×8.8×
Ronald Barbaras · 1×
Citations per year

Countries citing papers authored by Meng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Meng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 2007104
3 200899
4 201495
5 201690
6 200983
7 200780
8 200770
9 201669
10 201968
11 201166
12 201757
13 200955
14 201953
15 200850
16 200850
17 201647
18 202045
19 201445
20 202144

About Meng Xia

Meng Xia is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Reproductive Medicine, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (7 papers), Folate and B Vitamins Research (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related gene regulation (5 papers), Circular RNAs in diseases (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Cancer Research (469 citations), Hepatology (151 citations), Molecular Biology (1.2k citations), Rheumatology (226 citations) and Reproductive Medicine (109 citations). Meng Xia has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Shelly Chi-Loo Lu, Heping Yang, José María Mato, Komal Ramani, Tony W.H. Li, Xun Ye, Qinghua Xu, Chaoyang Sun, Wanying Shan and Kwang Suk Ko. Their work appears in journals such as Oncotarget, Hepatology, PLoS ONE, Cell Death and Disease and Ecotoxicology and Environmental Safety.

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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