Lixiang Feng

656 citations
12 papers · 385 indexed · 1 hit paper · h-index 8
Topics
Mesenchymal stem cell research (2 papers)Adipose Tissue and Metabolism (2 papers)Cancer-related molecular mechanisms research (2 papers)
Partner nations
ChinaUnited KingdomMacao

In The Last Decade

Lixiang Feng

9 papers receiving 377 citations

Hit Papers

Nanotechnology’s frontier in combatting infectious and in...202420262025202450100150200

Peers

Lixiang Feng
Comparison fields: 5 of 99
  • Molecular Biology 101
  • Biomedical Engineering 94
  • Materials Chemistry 73
  • Biomaterials 58
  • Pollution 37
Replace Usha Singh Gaharwar with:
Usha Singh Gaharwar India
Sami Gharbia Romania
Roberta Cagliani United Arab Emirates
Marit Ilves Finland
Nilesh Kanase United Kingdom
Maluta Steven Mufamadi South Africa
Lihui Xuan China
Drishtant Singh India
Mitra Korani Iran
Soheila Rahmani Iran
Lixiang Feng relative to Usha Singh Gaharwar India Usha Singh Gaharwar's profile →
Citations per field
00.5×4.1×
Usha Singh Gaharwar · 1×
Citations per year

Countries citing papers authored by Lixiang Feng

Since Specialization
Citations

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

Fields of papers citing papers by Lixiang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Lixiang Feng. A scholar is included among the top collaborators of Lixiang Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lixiang Feng. Lixiang Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4
Nanotechnology’s frontier in combatting infectious and inflammatory diseases: prevention and treatmentbreakdown →
231
5 32
6 19
7 9
8 19
9 15
10 5
11 44
12 11

About Lixiang Feng

Lixiang Feng is a scholar working on Aging, Biological Psychiatry and Genetics, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biomaterials (58 citations), Molecular Medicine (19 citations) and Pollution (37 citations). Lixiang Feng has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Na Xie, Yi Wu, Xingyu Chen, Yujing Huang, Guobo Shen, Xiaohan Guo, Yujing Huang, Lili Li, Pengcheng Luo and Likun Gao. Their work appears in journals such as Signal Transduction and Targeted Therapy, Ecotoxicology and Environmental Safety and Frontiers in Pharmacology.

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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