Xing Ming

493 citations
16 papers · 384 · h-index 11

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Xing Ming

16 papers receiving 382 citations

Peers

Xing Ming
Comparison fields: 5 of 83
  • Biophysics 36
  • Cancer Research 78
  • Developmental Neuroscience 20
  • Molecular Biology 213
  • Media Technology 24
Replace Paola Mussi with:
Paola Mussi United States
Leihua Weng China
Jialing Cai China
Zhiqin Guo China
Nan Yi China
Cui Zhou China
Enkhjargal Bayarsaikhan South Korea
Virginia Brilhante Finland
Li‐Lun Ho United States
Xing Ming relative to Paola Mussi United States Paola Mussi's profile →
Citations per field
00.5×10×14.3×
Paola Mussi · 1×
Citations per year

Countries citing papers authored by Xing Ming

Since Specialization
Citations

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

Fields of papers citing papers by Xing Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202181
2 202060
3 201640
4 201339
5 201430
6 201327
7 201621
8 202220
9 201216
10
Tert-butylhydroquinone protects the spinal cord against inflammatory response produced by spinal cord injury.
201416
11 201615
12 20247
13 20206
14 20212
15 20222
16
[Autophagy in atherosclerosis: a potential target to alleviate vascular endothelial cell dysfunction].
20152

About Xing Ming

Xing Ming is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Developmental Neuroscience, Immunology and Cancer Research, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Spinal Cord Injury Research (2 papers), MicroRNA in disease regulation (2 papers), Microbial Inactivation Methods (1 paper), Ferroptosis and cancer prognosis (1 paper), Berberine and alkaloids research (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biophysics (36 citations), Cancer Research (78 citations), Developmental Neuroscience (20 citations), Molecular Biology (213 citations) and Media Technology (24 citations). Xing Ming has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Zhang, Vittorio Gallo, Bo Yu, Jingbo Hou, Yongshun Wang, Jinjin Cui, Bo Lv, Jingjin Liu, Cheng Yan and Weibang Liang. Their work appears in journals such as Scientific Reports, International Journal of Molecular Medicine, Strahlentherapie und Onkologie, Phytomedicine and EMBO Reports.

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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