Lingling Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Biomedical Engineering top 1%
- Biosensors and Analytical Detection
- Microfluidic and Bio-sensing Technologies
Papers in ⓘ
-
- Advanced biosensing and bioanalysis techniques 25
- Extracellular vesicles in disease 20
- Single-cell and spatial transcriptomics 13
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- Microfluidic and Bio-sensing Technologies 27
- Nanopore and Nanochannel Transport Studies 10
- Biosensors and Analytical Detection 9
- Co-authors
- Chaoyong Yang (39 shared papers)Dai‐Wen Pang (18 shared papers)Zhiling Zhang (17 shared papers)Jiao Hu (15 shared papers)Man Tang (16 shared papers)Yanling Song (21 shared papers)Cong‐Ying Wen (10 shared papers)Bingqian Lin (6 shared papers)
- Journals
- Analytical Chemistry (12 papers)Frontiers in Immunology (5 papers)Angewandte Chemie International Edition (5 papers)Lab on a Chip (5 papers)Advanced Science (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lingling Wu
123 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cancer Research 779
- Biomedical Engineering 2.0k
- Molecular Biology 3.0k
- Immunology 784
- Oncology 682
Countries citing papers authored by Lingling Wu
This map shows the geographic impact of Lingling Wu'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 Lingling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Wu more than expected).
Fields of papers citing papers by Lingling Wu
This network shows the impact of papers produced by Lingling Wu. 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 Lingling Wu. The network helps show where Lingling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Wu, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aptamer-Based Detection of Circulating Targets for Precision Medicine Hit paper breakdown → | 2021 | 519 |
| 2 | 2016 | 232 | |
| 3 | 2013 | 223 | |
| 4 | 2020 | 208 | |
| 5 | 2020 | 203 | |
| 6 | 2016 | 190 | |
| 7 | 2020 | 177 | |
| 8 | 2018 | 174 | |
| 9 | 2013 | 143 | |
| 10 | 2020 | 140 | |
| 11 | 2021 | 137 | |
| 12 | 2021 | 128 | |
| 13 | 2003 | 122 | |
| 14 | 2019 | 105 | |
| 15 | 2022 | 104 | |
| 16 | 2020 | 99 | |
| 17 | 2016 | 93 | |
| 18 | 2016 | 76 | |
| 19 | 2016 | 72 | |
| 20 | 2018 | 71 |
About Lingling Wu
Lingling Wu is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Immunology and Cancer Research, having authored 131 papers that have together received 5.2k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (27 papers), Advanced biosensing and bioanalysis techniques (25 papers), Extracellular vesicles in disease (20 papers), Cancer Cells and Metastasis (16 papers), Single-cell and spatial transcriptomics (13 papers), Nanopore and Nanochannel Transport Studies (10 papers), Biosensors and Analytical Detection (9 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Cancer Research (779 citations), Biomedical Engineering (2.0k citations), Molecular Biology (3.0k citations), Immunology (784 citations) and Oncology (682 citations). Lingling Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chaoyong Yang, Dai‐Wen Pang, Zhiling Zhang, Jiao Hu, Man Tang, Yanling Song, Cong‐Ying Wen, Bingqian Lin, Jialü Zhang and Jia Song. Their work appears in journals such as Analytical Chemistry, Frontiers in Immunology, Angewandte Chemie International Edition, Lab on a Chip and Advanced Science.
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.