Mingxing Ding

32 papers receiving 601 citations

Peers

Mingxing Ding
Comparison fields: 5 of 99
  • Biological Psychiatry 42
  • Behavioral Neuroscience 36
  • Pollution 88
  • Neurology 62
  • Developmental Neuroscience 30
Replace Enrico Campioli with:
Enrico Campioli Canada
Mohammad Ali Atlasi Iran
Na Tang China
Wookbong Kwon South Korea
Yiyi Wang China
Qinlong Ma China
Tao Qi China
Lu Zhao China
Burak Çimen Türkiye
Xinru Li China
Mingxing Ding relative to Enrico Campioli Canada Enrico Campioli's profile →
Citations per field
00.5×2.8×
Enrico Campioli · 1×
Citations per year

Countries citing papers authored by Mingxing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingxing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022120
2 201458
3 201553
4 201946
5 201244
6 201838
7 202233
8 200631
9 202025
10 200623
11 201920
12
Long non-coding RNA MAFG-AS1 knockdown blocks malignant progression in breast cancer cells by inactivating JAK2/STAT3 signaling pathway via MAFG-AS1/miR-3196/TFAP2A axis.
202019
13 202011
14 202111
15
The overexpression of PDGF-BB and its receptor is correlated with lymphatic metastasis in patients with non-small cell lung cancer.
201810
16 202110
17 20197
18 20197
19 20187
20 20187

About Mingxing Ding

Mingxing Ding is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 32 papers that have together received 608 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Lymphatic System and Diseases (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Reproductive Biology and Fertility (3 papers), Mesenchymal stem cell research (2 papers), Veterinary medicine and infectious diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Behavioral Neuroscience (36 citations), Pollution (88 citations), Neurology (62 citations) and Developmental Neuroscience (30 citations). Mingxing Ding has collaborated with scholars based in China. Frequent co-authors include Haohao Chen, Ning Zhang, Marong Fang, Ning Zhang, Qun Zheng, Xiaoming Pan, Di Pan, Jianguo Chen, Yi Ding and Hongmei Zhu. Their work appears in journals such as BioMed Research International, Scientific Reports, Canadian Respiratory Journal, Journal of Animal Physiology and Animal Nutrition and Saudi Journal of Biological Sciences.

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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