Shuwei Wang

2.5k citations
60 papers · 2.0k indexed · h-index 21
Topics
Cancer-related molecular mechanisms research (10 papers)MicroRNA in disease regulation (8 papers)Circular RNAs in diseases (7 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Shuwei Wang

58 papers receiving 2.0k citations

Peers

Shuwei Wang
Comparison fields: 5 of 128
  • Molecular Biology 1.2k
  • Cancer Research 891
  • Oncology 306
  • Immunology 264
  • Epidemiology 224
Replace Jeng‐Fan Lo with:
Jeng‐Fan Lo Taiwan
Xiao Han China
Liqin Wang China
Masaki Miyazawa Japan
Liang Ming China
Hang Yin China
Hui Tao China
Shuhua Zhao China
Sheng‐Ming Wu Taiwan
Shuwei Wang relative to Jeng‐Fan Lo Taiwan Jeng‐Fan Lo's profile →
Citations per field
00.5×1.5×
Jeng‐Fan Lo · 1×
Citations per year

Countries citing papers authored by Shuwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Wang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 1
4 8
5 43
6 5
7 1
8 15
9 16
10 18
11 50
12 5
13 33
14
Identification of the difference in gene expression between glioma stem cells and neural stem cells by oligonucleotide microarray
1
15 19
16 23
17 274
18 17
19 17
20
Production and identification of IgY against excretory-secretory antigens of Trichinella spiralis muscle larvae.
2

About Shuwei Wang

Shuwei Wang is a scholar working on Cancer Research, Neurology and Pharmacology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Cancer Research (891 citations), Molecular Biology (1.2k citations) and Immunology (264 citations). Shuwei Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yueming Sun, Dongsheng Zhang, Jun Hu, Qinhao Guo, Jiejing Chen, Juan Li, Jun Hu, Fengzhen Wang, Yan Zhao and Yan Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and ACS Applied Materials & Interfaces.

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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