Chenxi Ning

819 citations
22 papers · 625 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Advanced Cellulose Research Studies

Papers in

Chenxi Ning

21 papers receiving 620 citations

Peers

Chenxi Ning
Comparison fields: 5 of 91
  • Cancer Research 149
  • Biomaterials 87
  • Molecular Biology 296
  • Computational Theory and Mathematics 63
  • Emergency Medicine 27
Replace Anurag Kanase with:
Anurag Kanase India
Kaushalkumar Dave United States
Parvarish Sharma India
Srinivas Lankalapalli India
Xiaonan Huang China
Ankit Kumar India
Govind Soni India
Xiuyi Li China
Vimal Patel India
Şengül Dilem Doğan Türkiye
Chenxi Ning relative to Anurag Kanase India Anurag Kanase's profile →
Citations per field
00.5×12.4×
Anurag Kanase · 1×
Citations per year

Countries citing papers authored by Chenxi Ning

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019256
2 202177
3 202148
4 201833
5 201430
6 202326
7 201924
8 201523
9 201419
10 201415
11 201914
12 201912
13 202310
14 20178
15 20237
16 20217
17 20176
18 20184
19 20193
20 20242

About Chenxi Ning

Chenxi Ning is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Biomaterials and Emergency Medicine, having authored 22 papers that have together received 625 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (4 papers), HIV/AIDS Research and Interventions (3 papers), Lignin and Wood Chemistry (3 papers), HIV-related health complications and treatments (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Wound Healing and Treatments (2 papers), MicroRNA in disease regulation (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Cancer Research (149 citations), Biomaterials (87 citations), Molecular Biology (296 citations), Computational Theory and Mathematics (63 citations) and Emergency Medicine (27 citations). Chenxi Ning has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Sai Zhang, Wei Zhou, Jin Li, Tao Liu, Qingxi Hou, Wei Liu, Erzheng Su, Xiaoyu Li, Dongzhi Wei and Long Li. Their work appears in journals such as Journal of Biotechnology, Burns, Industrial Crops and Products, Artificial Intelligence in Medicine and Archives of Biochemistry and Biophysics.

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