Wang Li
Impact in
- Electrochemistry top 2%
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
Papers in
-
- Advanced biosensing and bioanalysis techniques 60
- DNA and Nucleic Acid Chemistry 14
-
- Advanced Nanomaterials in Catalysis 16
- Carbon and Quantum Dots Applications 15
- Nanocluster Synthesis and Applications 14
- Co-authors
- Shouzhuo Yao (29 shared papers)Zhou Nie (29 shared papers)Zhuoliang Liu (7 shared papers)Xiahong Xu (10 shared papers)Yan Huang (13 shared papers)Jie Zhang (2 shared papers)Dongmei Yue (2 shared papers)Jing Tan (2 shared papers)
- Journals
- Analytical Methods (6 papers)Biosensors and Bioelectronics (5 papers)Food Chemistry (5 papers)Chemical Communications (5 papers)The Analyst (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wang Li
218 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 153
- Electrochemistry 311
- Molecular Biology 2.5k
- Materials Chemistry 1.6k
- Biological Psychiatry 65
- Bioengineering 144
Countries citing papers authored by Wang Li
This map shows the geographic impact of Wang Li'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 Wang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Li more than expected).
Fields of papers citing papers by Wang Li
This network shows the impact of papers produced by Wang Li. 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 Wang Li. The network helps show where Wang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 284 | |
| 2 | 2010 | 206 | |
| 3 | 2008 | 204 | |
| 4 | 2012 | 200 | |
| 5 | 2016 | 190 | |
| 6 | 2016 | 117 | |
| 7 | 2018 | 111 | |
| 8 | 2019 | 108 | |
| 9 | 2007 | 107 | |
| 10 | 2014 | 87 | |
| 11 | 2013 | 87 | |
| 12 | 2020 | 80 | |
| 13 | 2009 | 76 | |
| 14 | 2009 | 71 | |
| 15 | 2017 | 71 | |
| 16 | 2009 | 71 | |
| 17 | 2022 | 71 | |
| 18 | 2024 | 69 | |
| 19 | 2021 | 68 | |
| 20 | 2023 | 67 |
About Wang Li
Wang Li is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Spectroscopy, having authored 226 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (60 papers), Biosensors and Analytical Detection (16 papers), Advanced Nanomaterials in Catalysis (16 papers), Electrochemical sensors and biosensors (16 papers), Carbon and Quantum Dots Applications (15 papers), Nanocluster Synthesis and Applications (14 papers), DNA and Nucleic Acid Chemistry (14 papers) and Molecular Sensors and Ion Detection (10 papers). The work is most often cited by research in Electrochemistry (311 citations), Molecular Biology (2.5k citations), Materials Chemistry (1.6k citations), Biological Psychiatry (65 citations) and Bioengineering (144 citations). Wang Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shouzhuo Yao, Zhou Nie, Zhuoliang Liu, Xiahong Xu, Yan Huang, Jie Zhang, Dongmei Yue, Jing Tan, Liqun Zhang and Jinhua Chen. Their work appears in journals such as Analytical Methods, Biosensors and Bioelectronics, Food Chemistry, Chemical Communications and The Analyst.
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.