Lingling Wu

7.0k citations
133 papers · 5.6k · 1 hit paper · h-index 40

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 26
    • Extracellular vesicles in disease 21
    • Single-cell and spatial transcriptomics 12
    • Microfluidic and Bio-sensing Technologies 27
    • Nanopore and Nanochannel Transport Studies 10
    • Biosensors and Analytical Detection 9

Lingling Wu

126 papers receiving 5.5k citations

Lingling Wu's Hit Papers

Aptamer-Based Detection of Circulating Targets for Precision Medicine 2021 · 562 citations
5620+1+3Years since publication100200300400500

Peers

Lingling Wu
Comparison fields: 5 of 165
  • Cancer Research 711
  • Biomedical Engineering 2.1k
  • Molecular Biology 3.0k
  • Immunology 751
  • Oncology 650
Replace Jing Gao with:
Jing Gao China
Michael Donovan United States
Youli Zu United States
Liang Zhang China
Ying Hu China
Tao Yang China
Neil O. Carragher United Kingdom
Yuan Zhang China
Tian Tian China
Qin Zhang China
Lingling Wu relative to Jing Gao China Jing Gao's profile →
Citations per field
00.5×1.7×
Jing Gao · 1×
Citations per year

Countries citing papers authored by Lingling Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lingling Wu Line = papers co-authored together Lingling Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 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 →
2021562
2 2016236
3 2013229
4 2020216
5 2020213
6 2016193
7 2018187
8 2020185
9 2013158
10 2020150
11 2021147
12 2021141
13 2003126
14 2022113
15 2019105
16 2020104
17 2016102
18 201677
19 201874
20 201672

About Lingling Wu

Lingling Wu is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Immunology and Cancer Research, having authored 133 papers that have together received 5.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (27 papers), Advanced biosensing and bioanalysis techniques (26 papers), Extracellular vesicles in disease (21 papers), Cancer Cells and Metastasis (15 papers), Single-cell and spatial transcriptomics (12 papers), Nanopore and Nanochannel Transport Studies (10 papers), Biosensors and Analytical Detection (9 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Cancer Research (711 citations), Biomedical Engineering (2.1k citations), Molecular Biology (3.0k citations), Immunology (751 citations) and Oncology (650 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, Angewandte Chemie International Edition, Lab on a Chip, Frontiers in Immunology 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.

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