Ming Xia

853 citations
28 papers · 320 · h-index 10

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Extracellular vesicles in disease 3
    • Cancer-related molecular mechanisms research 6

Ming Xia

26 papers receiving 319 citations

Peers

Ming Xia
Comparison fields: 5 of 69
  • Sensory Systems 29
  • Cancer Research 78
  • Nephrology 22
  • Otorhinolaryngology 11
  • Molecular Biology 143
Replace Lujuan Zhang with:
Lujuan Zhang United States
Kai Feng China
Vanessa Delcroix United States
Huijie Li China
Divya Venkataraman Singapore
Guorun Fan China
Wu Deng United States
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Citations per field
00.5×11×
Lujuan Zhang · 1×
Citations per year

Countries citing papers authored by Ming Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 202036
3 202120
4 201718
5 202217
6 202017
7 202016
8 202215
9 201914
10 201910
11 20229
12 20229
13 20159
14 20228
15 20238
16 20158
17 20216
18 20226
19 20256
20 20215

About Ming Xia

Ming Xia is a scholar working on Molecular Biology, Cancer Research, Sensory Systems, Pulmonary and Respiratory Medicine and Immunology, having authored 28 papers that have together received 320 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Nanoplatforms for cancer theranostics (4 papers), Circular RNAs in diseases (3 papers), Vestibular and auditory disorders (3 papers), Extracellular vesicles in disease (3 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Sensory Systems (29 citations), Cancer Research (78 citations), Nephrology (22 citations), Otorhinolaryngology (11 citations) and Molecular Biology (143 citations). Ming Xia has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Miaoqing Zhao, Fenglei Xu, Shuyu Ren, Lei Zhang, Guochun Chen, Yu Liu, Huihui Chen, Zheng Dong, Hong Liu and Jiefu Zhu. Their work appears in journals such as Fundamental Research, Frontiers in Cell and Developmental Biology, International Journal of Pharmaceutics, Biochemical and Biophysical Research Communications and Advanced Science.

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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