Cong Xing

782 citations
28 papers · 554 · h-index 10

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Cong Xing

25 papers receiving 548 citations

Peers

Cong Xing
Comparison fields: 5 of 85
  • Rheumatology 127
  • Cancer Research 85
  • Pharmacology 79
  • Pathology and Forensic Medicine 74
  • Anesthesiology and Pain Medicine 20
Replace Chuan Ma with:
Chuan Ma China
Yuanfeng Chen China
Mingwei He China
Renpeng Peng China
Hongxing Shen China
Lee-So Maeng South Korea
Samir M. Abdelmagid United States
Hede Yan China
Zemin Ling China
Anna E. Rapp Germany
Cong Xing relative to Chuan Ma China Chuan Ma's profile →
Citations per field
00.5×
Chuan Ma · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020206
2 202271
3 202053
4 202037
5 201825
6 202125
7 202319
8 202119
9 202015
10 202410
11 20248
12 20188
13 20238
14 20248
15 20217
16 20236
17 20226
18 20185
19 20195
20 20234

About Cong Xing

Cong Xing is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Surgery, having authored 28 papers that have together received 554 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (7 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Connective tissue disorders research (3 papers), Hip disorders and treatments (3 papers), Circular RNAs in diseases (3 papers), Spinal Dysraphism and Malformations (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Rheumatology (127 citations), Cancer Research (85 citations), Pharmacology (79 citations), Pathology and Forensic Medicine (74 citations) and Anesthesiology and Pain Medicine (20 citations). Cong Xing has collaborated with scholars based in China and United States. Frequent co-authors include Shiqing Feng, Guangzhi Ning, Guangzhi Ning, Lan Zhao, Ru Liu‐Bryan, Dan Yi, Guozhi Xiao, Tingyu Wang, Jian Huang and Bin Zhang. Their work appears in journals such as World Neurosurgery, Experimental Neurology, Behavioural Brain Research, International Orthopaedics and Annals of the Rheumatic Diseases.

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.

Explore authors with similar magnitude of impact