Wei Tang

2.8k citations
67 papers · 2.3k indexed · 1 hit paper · h-index 26
Topics
Advanced biosensing and bioanalysis techniques (18 papers)DNA and Nucleic Acid Chemistry (8 papers)Biosensors and Analytical Detection (8 papers)

In The Last Decade

Wei Tang

62 papers receiving 2.2k citations

Hit Papers

The importance of surface morphology in controlling the s...20112026201620212011200400600

Peers

Wei Tang
Comparison fields: 5 of 112
  • Molecular Biology 948
  • Renewable Energy, Sustainability and the Environment 649
  • Biomedical Engineering 499
  • Catalysis 450
  • Materials Chemistry 372
Replace Mohammad Izadyar with:
Mohammad Izadyar Iran
Xiaoyang Liu United States
Yanmei Huang China
Najmedin Azizi Iran
Shuting Wei China
Weiqiang Zhang China
Ying Yang China
Shuangfei Cai China
Wei Tang relative to Mohammad Izadyar Iran Mohammad Izadyar's profile →
Citations per field
00.5×2.7×
Mohammad Izadyar · 1×
Citations per year

Countries citing papers authored by Wei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Tang. A scholar is included among the top collaborators of Wei Tang 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 Wei Tang. Wei Tang 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 0
2 2
3 14
4 4
5 0
6 0
7 10
8 20
9 24
10 16
11 29
12 24
13
Function analysis of VvmiR397a and its target genes VvLACs in grape berry development.
6
14 36
15 100
16 36
17 33
18 100
19 33
20 13

About Wei Tang

Wei Tang is a scholar working on Radiological and Ultrasound Technology, Molecular Biology and Electrochemistry, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (18 papers), DNA and Nucleic Acid Chemistry (8 papers) and Biosensors and Analytical Detection (8 papers). The work is most often cited by research in Catalysis (450 citations), Renewable Energy, Sustainability and the Environment (649 citations) and Process Chemistry and Technology (86 citations). Wei Tang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Feng Liu, Ib Chorkendorff, Søren Dahl, Dingzhong Wang, Jens K. Nørskov, Andrew A. Peterson, Lone Bech, William J. Durand, Ana Sofía Varela and Zarko P. Jovanov. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

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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