Min Xia

1.8k citations
39 papers · 1.1k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4

Min Xia

36 papers receiving 1.1k citations

Peers

Min Xia
Comparison fields: 5 of 122
  • Cancer Research 269
  • Neurology 87
  • Molecular Biology 545
  • Neurology 120
  • Complementary and Manual Therapy 16
Replace Tsuyoshi Kawabata with:
Tsuyoshi Kawabata Japan
Dandan Feng China
Thanh Ngoc Nguyen Australia
Qiaoli Wu China
Peng Xue China
Dong He China
Jiyun Lee South Korea
Stamatia Papoutsopoulou Greece
Kotaro Sugimoto Japan
Min Xia relative to Tsuyoshi Kawabata Japan Tsuyoshi Kawabata's profile →
Citations per field
00.5×5.3×
Tsuyoshi Kawabata · 1×
Citations per year

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017300
2 202077
3 200473
4 201757
5 202356
6 201848
7 201442
8 201438
9 201938
10 201536
11 202035
12 201633
13 202030
14 202128
15 201927
16 201925
17 202023
18 202321
19 201818
20 201917

About Min Xia

Min Xia is a scholar working on Molecular Biology, Cancer Research, Surgery, Neurology and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA modifications and cancer (3 papers), Acute Ischemic Stroke Management (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Cancer Research (269 citations), Neurology (87 citations), Molecular Biology (545 citations), Neurology (120 citations) and Complementary and Manual Therapy (16 citations). Min Xia has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Fangmei An, Hua Feng, Qiang Zhan, Yun Ye, Chin‐Hwa Hu, Yong Zhou, Wenjia Zhang, Huahui Ren, Wangsheng Li and Jacob M. Luber. Their work appears in journals such as Journal of Translational Medicine, CNS Neuroscience & Therapeutics, Medicine, Scientific Reports and Frontiers in Cell and Developmental Biology.

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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