Ruihua Tang

2.1k total citations
36 papers, 1.7k citations indexed

About

Ruihua Tang is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Ruihua Tang has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 21 papers in Molecular Biology and 10 papers in Infectious Diseases. Recurrent topics in Ruihua Tang's work include Biosensors and Analytical Detection (22 papers), Advanced biosensing and bioanalysis techniques (18 papers) and SARS-CoV-2 detection and testing (10 papers). Ruihua Tang is often cited by papers focused on Biosensors and Analytical Detection (22 papers), Advanced biosensing and bioanalysis techniques (18 papers) and SARS-CoV-2 detection and testing (10 papers). Ruihua Tang collaborates with scholars based in China, Malaysia and Canada. Ruihua Tang's co-authors include Feng Xu, Jane Ru Choi, Yan Gong, Ting Bin Wen, Hui Yang, Belinda Pingguan‐Murphy, Shangsheng Feng, Jie Hu, Qibing Mei and Wan Abu Bakar Wan Abas and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Carbohydrate Polymers.

In The Last Decade

Ruihua Tang

36 papers receiving 1.7k citations

Peers

Ruihua Tang
Comparison fields: 5 of 116
  • Biomedical Engineering 1.2k
  • Molecular Biology 940
  • Infectious Diseases 412
  • Biomaterials 149
  • Materials Chemistry 134
Replace Qiaoli Yang with:
Qiaoli Yang China
Mariusz Grinholc Poland
Xiuling Song China
Bruno Veigas Portugal
Leina Dou China
Jyoti Bhardwaj India
Zhiyong Song China
Suzannah M. Schmidt-Malan United States
Qiaoli Yang China View profile →
Citations per field, relative to Ruihua Tang
Ruihua Tang · 1×
Citations per year, relative to Ruihua Tang
Ruihua Tang · 1×

Countries citing papers authored by Ruihua Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ruihua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihua Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruihua Tang. A scholar is included among the top collaborators of Ruihua 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 Ruihua Tang. Ruihua 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 2
2 1
3 3
4 8
5 48
6 9
7 17
8 33
9 28
10 17
11 17
12 108
13 81
14
Chemical constituents of Piper wallichii (Miq.) Hand.-Mazz. and inhibitory effects on Tca83 cells.
3
15 86
16 102
17 8
18 114
19 5
20 1

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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