Fengqing Shang

601 citations
14 papers · 494 indexed · 1 hit paper · h-index 9
Topics
Mesenchymal stem cell research (8 papers)MicroRNA in disease regulation (4 papers)Extracellular vesicles in disease (3 papers)
Partner nations
ChinaMexico

In The Last Decade

Fengqing Shang

14 papers receiving 488 citations

Hit Papers

Advancing application of mesenchymal stem cell-based bone...2020202620222024202050100150200

Peers

Fengqing Shang
Comparison fields: 5 of 77
  • Molecular Biology 191
  • Biomedical Engineering 167
  • Genetics 159
  • Surgery 85
  • Cancer Research 72
Replace Oliver Felthaus with:
Oliver Felthaus Germany
Meiling Wu China
Yong Wen China
Maher Atari Spain
Naznin Akhtar Bangladesh
Cecilia Granéli Sweden
Fabian Langenbach Germany
Ning Kang China
Xuehui Wu China
Adrien Moya France
Fengqing Shang relative to Oliver Felthaus Germany Oliver Felthaus's profile →
Citations per field
00.5×1.5×2.5×
Oliver Felthaus · 1×
Citations per year

Countries citing papers authored by Fengqing Shang

Since Specialization
Citations

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

Fields of papers citing papers by Fengqing Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengqing Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqing Shang. A scholar is included among the top collaborators of Fengqing Shang 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 Fengqing Shang. Fengqing Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 7
3 15
4 8
5 3
6
Advancing application of mesenchymal stem cell-based bone tissue regenerationbreakdown →
228
7 56
8 42
9 40
10 43
11
[Bone marrow-derived mesenchymal stem cells from estrogen deficiency induced osteoporosis mice regulate T cell migration and apoptosis through expressing MCP-1].
1
12 40
13
[Role of bone marrow-derived mesenchymal stem cells in treating colitis through Fas/FasL-mediated immune regulation].
1
14
[Role of bone marrow-derived mesenchymal stem cells in treating estrogen deficiency induced osteoporosis].
8

About Fengqing Shang

Fengqing Shang is a scholar working on Genetics, Periodontics and Cancer Research, having authored 14 papers that have together received 494 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), MicroRNA in disease regulation (4 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Genetics (159 citations), Urology (61 citations) and Biomaterials (70 citations). Fengqing Shang has collaborated with scholars based in China and Mexico. Frequent co-authors include Yan Jin, Leiguo Ming, Zhifei Zhou, Yang Yu, Shiyu Liu, Yongjie Zhang, Yin Ding, Junjie Wu, Jihua Chen and Wen Li. Their work appears in journals such as PLoS ONE, Scientific Reports and Molecular Therapy.

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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