Juan Wang
Impact in
- Biomedical Engineering top 1%
- Biosensors and Analytical Detection
- Nonlinear Optical Materials Studies
- Endocrinology top 5%
Papers in
-
- Biosensors and Analytical Detection 44
- Nonlinear Optical Materials Studies 5
-
- Advanced biosensing and bioanalysis techniques 53
- CRISPR and Genetic Engineering 5
- Co-authors
- Chao Zhao (43 shared papers)Kun Xu (33 shared papers)Xiu ling Song (31 shared papers)Xiurong Yang (5 shared papers)Juan Li (18 shared papers)Hong‐Bo Sun (6 shared papers)Qi-dai Chen (6 shared papers)Kui Jiao (2 shared papers)
- Journals
- Microchimica Acta (8 papers)Biosensors and Bioelectronics (5 papers)Sensors and Actuators B Chemical (5 papers)Analytical Chemistry (4 papers)Frontiers in Microbiology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Juan Wang
134 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 146
- Biomedical Engineering 2.0k
- Endocrinology 162
- Molecular Biology 2.1k
- Electrochemistry 176
- Materials Chemistry 1.1k
Countries citing papers authored by Juan Wang
This map shows the geographic impact of Juan 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 Juan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Wang more than expected).
Fields of papers citing papers by Juan Wang
This network shows the impact of papers produced by Juan 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 Juan Wang. The network helps show where Juan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Wang, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 235 | |
| 2 | 2009 | 214 | |
| 3 | 2017 | 194 | |
| 4 | 2009 | 152 | |
| 5 | 2018 | 131 | |
| 6 | 2020 | 122 | |
| 7 | 2012 | 96 | |
| 8 | 2009 | 87 | |
| 9 | 2018 | 83 | |
| 10 | 2015 | 81 | |
| 11 | 2016 | 80 | |
| 12 | 2013 | 76 | |
| 13 | 2009 | 75 | |
| 14 | 2009 | 72 | |
| 15 | 2018 | 68 | |
| 16 | 2010 | 67 | |
| 17 | 2022 | 66 | |
| 18 | 2020 | 66 | |
| 19 | 2018 | 65 | |
| 20 | 2018 | 64 |
About Juan Wang
Juan Wang is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Materials Chemistry and Infectious Diseases, having authored 138 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (53 papers), Biosensors and Analytical Detection (44 papers), Advanced Nanomaterials in Catalysis (23 papers), Vibrio bacteria research studies (10 papers), Electrochemical sensors and biosensors (6 papers), Aquaculture disease management and microbiota (6 papers), Nonlinear Optical Materials Studies (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Endocrinology (162 citations), Molecular Biology (2.1k citations), Electrochemistry (176 citations) and Materials Chemistry (1.1k citations). Juan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao Zhao, Kun Xu, Xiu ling Song, Xiurong Yang, Juan Li, Hong‐Bo Sun, Qi-dai Chen, Kui Jiao, Xiaowen Xu and Hong Xia. Their work appears in journals such as Microchimica Acta, Biosensors and Bioelectronics, Sensors and Actuators B Chemical, Analytical Chemistry and Frontiers in Microbiology.
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.