Lida Wang
Impact in
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- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Advanced Biosensing Techniques and Applications
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- MicroRNA in disease regulation
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 3
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- Biosensors and Analytical Detection 4
- Co-authors
- Jinghong Li (7 shared papers)Ruijie Deng (4 shared papers)Kaixiang Zhang (2 shared papers)Yupeng Sun (1 shared paper)Yang Liu (2 shared papers)Weidong Xu (1 shared paper)Lei Lin (1 shared paper)Longhua Tang (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Chemical Science (2 papers)Biosensors and Bioelectronics (1 paper)PLoS ONE (1 paper)Journal of Asian Natural Products Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lida Wang
20 papers receiving 582 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 486
- Cancer Research 65
- Biomedical Engineering 202
- Filtration and Separation 6
- General Agricultural and Biological Sciences 19
Countries citing papers authored by Lida Wang
This map shows the geographic impact of Lida 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 Lida Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Wang more than expected).
Fields of papers citing papers by Lida Wang
This network shows the impact of papers produced by Lida 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 Lida Wang. The network helps show where Lida Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 167 | |
| 2 | 2015 | 122 | |
| 3 | 2014 | 37 | |
| 4 | 2015 | 37 | |
| 5 | 2014 | 37 | |
| 6 | 2022 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2014 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2018 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2013 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2023 | 1 |
About Lida Wang
Lida Wang is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Organic Chemistry and Political Science and International Relations, having authored 22 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (4 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (3 papers), Chemical synthesis and alkaloids (2 papers), Complex Network Analysis Techniques (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Ionic liquids properties and applications (1 paper). The work is most often cited by research in Molecular Biology (486 citations), Cancer Research (65 citations), Biomedical Engineering (202 citations), Filtration and Separation (6 citations) and General Agricultural and Biological Sciences (19 citations). Lida Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinghong Li, Ruijie Deng, Kaixiang Zhang, Yupeng Sun, Yang Liu, Weidong Xu, Lei Lin, Longhua Tang, Kha Tram and Yingfu Li. Their work appears in journals such as Analytical Chemistry, Chemical Science, Biosensors and Bioelectronics, PLoS ONE and Journal of Asian Natural Products Research.
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.