Weiqi Wang

830 citations
45 papers · 579 indexed · h-index 13
Topics
RNA modifications and cancer (5 papers)Spectroscopy Techniques in Biomedical and Chemical Research (4 papers)Ferroptosis and cancer prognosis (3 papers)
Partner nations
ChinaSingaporeJapan

In The Last Decade

Weiqi Wang

39 papers receiving 573 citations

Peers

Weiqi Wang
Comparison fields: 5 of 113
  • Molecular Biology 310
  • Electrical and Electronic Engineering 60
  • Cancer Research 50
  • Nutrition and Dietetics 49
  • Biomedical Engineering 47
Replace Shasha Wang with:
Shasha Wang China
Dandan Li China
Yanfang Zhang China
B E Britigan United States
Weiping Lu China
Elizabeth A. Cowley Canada
Jialing Chen China
Xiaoyun Li China
J. Turton United Kingdom
Weiqi Wang relative to Shasha Wang China Shasha Wang's profile →
Citations per field
00.5×1.5×2.5×
Shasha Wang · 1×
Citations per year

Countries citing papers authored by Weiqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiqi Wang. A scholar is included among the top collaborators of Weiqi 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 Weiqi Wang. Weiqi 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 1
2 0
3 0
4 5
5 0
6 9
7 2
8 7
9 29
10 7
11 53
12 10
13 59
14 17
15 8
16
Cloning and function analysis of a plasma membrane intrinsic protein gene, GmPIP in soybean ('Glycine max' L. Merr)
2
17
A secondary suppression subtractive hybridization method for isolation and identification of some salt-induced genes in soybean ('Glycine max' L. Merr)
1
18 70
19 38
20 11

About Weiqi Wang

Weiqi Wang is a scholar working on Horticulture, Biophysics and Structural Biology, having authored 45 papers that have together received 579 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Molecular Medicine (30 citations), Molecular Biology (310 citations) and Electrochemistry (27 citations). Weiqi Wang has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Qiang Sun, Bo Yang, Shasheng Huang, Fang Wang, Jiong Chen, Sheng‐Xiang Lin, Guoying Wang, Silin Lv, Min Yang and Yan Zheng. Their work appears in journals such as Nature, Diabetes Care and Scientific Reports.

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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