Wei Tang

2.8k total citations · 1 hit paper
67 papers, 2.3k citations indexed

About

Wei Tang is a scholar working on Molecular Biology, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Wei Tang has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 21 papers in Biomedical Engineering and 10 papers in Organic Chemistry. Recurrent topics in Wei Tang's work include Advanced biosensing and bioanalysis techniques (18 papers), DNA and Nucleic Acid Chemistry (8 papers) and Biosensors and Analytical Detection (8 papers). Wei Tang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (18 papers), DNA and Nucleic Acid Chemistry (8 papers) and Biosensors and Analytical Detection (8 papers). Wei Tang collaborates with scholars based in China, United States and Denmark. Wei Tang's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Wei Tang

62 papers receiving 2.2k citations

Hit Papers

The importance of surface morphology in controlling the s... 2011 2026 2016 2021 2011 200 400 600

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
Zenan Hu China
Angel A. J. Torriero Australia
Mazaher Ahmadi Iran
Shuting Wei China
Mohamed Taha Egypt
Xiaohui Feng China
Nadia Barbero Italy
Mohammad Izadyar Iran View profile →
Citations per field, relative to Wei Tang
Wei Tang · 1×
Citations per year, relative to Wei Tang
Wei Tang · 1×

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
# Work Indexed 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

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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