Cong Xing

26 papers receiving 594 citations

Cong Xing's Hit Papers

Metformin limits osteoarthritis development and progression through activation of AMPK signalling 2020 · 217 citations
2170+2+4Years since publication50100150200

Peers

Cong Xing
Comparison fields: 5 of 78
  • Rheumatology 116
  • Pathology and Forensic Medicine 72
  • Cancer Research 59
  • Anesthesiology and Pain Medicine 17
  • Pharmacology 46
Replace G. Pajardi with:
G. Pajardi Italy
Hede Yan China
Lianshun Jia China
Wanru Duan China
Wen‐Cheng Lo Taiwan
EunAh Lee South Korea
Shailendra Joshi United States
Junichi Kushioka Japan
Takane Suzuki Japan
Cong Xing relative to G. Pajardi Italy G. Pajardi's profile →
Citations per field
00.5×5.1×
G. Pajardi · 1×
Citations per year

Countries citing papers authored by Cong Xing

Since Specialization
Citations

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

Fields of papers citing papers by Cong Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metformin limits osteoarthritis development and progression through activation of AMPK signalling
Hit paper breakdown →
2020217
2 202273
3 202052
4 202038
5 202129
6 201826
7 202321
8 202121
9 202418
10 202016
11 202411
12 202411
13 20239
14 20218
15 20188
16 20226
17 20236
18 20235
19 20185
20 20255

About Cong Xing

Cong Xing is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 599 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (6 papers), Connective tissue disorders research (4 papers), Planarian Biology and Electrostimulation (2 papers), Spinal Dysraphism and Malformations (2 papers), Circular RNAs in diseases (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Neuroscience and Neural Engineering (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Rheumatology (116 citations), Pathology and Forensic Medicine (72 citations), Cancer Research (59 citations), Anesthesiology and Pain Medicine (17 citations) and Pharmacology (46 citations). Cong Xing has collaborated with scholars based in China and United States. Frequent co-authors include Shiqing Feng, Guangzhi Ning, Hao Zhong, Guangzhi Ning, Dan Yi, Ru Liu‐Bryan, Jian Huang, Chun‐do Oh, Di Chen and Jun Li. Their work appears in journals such as World Neurosurgery, Journal of Orthopaedic Surgery and Research, Biochemical and Biophysical Research Communications, International Immunopharmacology and Advanced Functional Materials.

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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