Chunsheng Wang

436 citations
18 papers · 317 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases

Papers in

    • Pluripotent Stem Cells Research 3
    • RNA Interference and Gene Delivery 2
    • Ubiquitin and proteasome pathways 1
    • Tissue Engineering and Regenerative Medicine 4

Chunsheng Wang

17 papers receiving 315 citations

Peers

Chunsheng Wang
Comparison fields: 5 of 72
  • Cancer Research 51
  • Molecular Biology 168
  • Biomaterials 29
  • Genetics 18
  • Automotive Engineering 21
Replace Magdalini Eleftheriadou with:
Magdalini Eleftheriadou United Kingdom
Weiya Zhang China
Piotr Cywoniuk Poland
Mieradilijiang Abudupataer China
Mostafa Kiamehr Finland
Patrizia Benzoni Italy
Zarema Gilazieva Russia
Oswaldo A. Lozoya United States
Chunsheng Wang relative to Magdalini Eleftheriadou United Kingdom Magdalini Eleftheriadou's profile →
Citations per field
00.5×3.8×
Magdalini Eleftheriadou · 1×
Citations per year

Countries citing papers authored by Chunsheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunsheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201957
2 201546
3 201334
4 202031
5 202028
6 201227
7 201426
8 201411
9 20179
10 20219
11 20239
12 20197
13 20206
14 20246
15 20216
16 20154
17 20241
18 20250

About Chunsheng Wang

Chunsheng Wang is a scholar working on Molecular Biology, Surgery, Cancer Research, Biomaterials and Biomedical Engineering, having authored 18 papers that have together received 317 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (4 papers), Pluripotent Stem Cells Research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (2 papers), 3D Printing in Biomedical Research (2 papers), Reproductive Biology and Fertility (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (51 citations), Molecular Biology (168 citations), Biomaterials (29 citations), Genetics (18 citations) and Automotive Engineering (21 citations). Chunsheng Wang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Hao Lai, Kai Zhu, Jun Li, Shiqiang Yan, Yu Shi, Jun Li, Li Wang, Mieradilijiang Abudupataer, Changfa Guo and Md. Fazle Alam. Their work appears in journals such as International Journal of Nanomedicine, Biomedical Microdevices, Reproduction Fertility and Development, Frontiers in Bioengineering and Biotechnology and Frontiers in Physiology.

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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