Lingjun Sha
Impact in
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- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- CRISPR and Genetic Engineering
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- Biosensors and Analytical Detection
- Nanoplatforms for cancer theranostics
Papers in
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- Advanced biosensing and bioanalysis techniques 17
- RNA Interference and Gene Delivery 3
- Extracellular vesicles in disease 3
- CRISPR and Genetic Engineering 2
- Lipid Membrane Structure and Behavior 2
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- Biosensors and Analytical Detection 5
- Nanopore and Nanochannel Transport Studies 4
- Co-authors
- Jing Tai Zhao (12 shared papers)Ya Cao (8 shared papers)Genxi Li (11 shared papers)Xiaomeng Yu (5 shared papers)Jie An Yang (3 shared papers)Bing Han (4 shared papers)Minghui Wang (3 shared papers)Yuxin Lin (1 shared paper)
- Journals
- Biosensors and Bioelectronics (6 papers)Journal of Materials Chemistry B (3 papers)Analytica Chimica Acta (2 papers)Analytical Chemistry (2 papers)Critical Reviews in Analytical Chemistry (1 paper)
- Partner nations
- ChinaSaudi ArabiaEgypt
In The Last Decade
Lingjun Sha
21 papers receiving 458 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 322
- Biomedical Engineering 183
- Inorganic Chemistry 56
- Materials Chemistry 144
- Electrochemistry 18
Countries citing papers authored by Lingjun Sha
This map shows the geographic impact of Lingjun Sha'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 Lingjun Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Sha more than expected).
Fields of papers citing papers by Lingjun Sha
This network shows the impact of papers produced by Lingjun Sha. 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 Lingjun Sha. The network helps show where Lingjun Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjun Sha, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 89 | |
| 2 | 2022 | 50 | |
| 3 | 2021 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 45 | |
| 6 | 2024 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2024 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2020 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2025 | 2 |
About Lingjun Sha
Lingjun Sha is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Cancer Research and Inorganic Chemistry, having authored 23 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Biosensors and Analytical Detection (5 papers), Nanopore and Nanochannel Transport Studies (4 papers), Advanced Nanomaterials in Catalysis (3 papers), RNA Interference and Gene Delivery (3 papers), Extracellular vesicles in disease (3 papers), CRISPR and Genetic Engineering (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Molecular Biology (322 citations), Biomedical Engineering (183 citations), Inorganic Chemistry (56 citations), Materials Chemistry (144 citations) and Electrochemistry (18 citations). Lingjun Sha has collaborated with scholars based in China, Saudi Arabia and Egypt. Frequent co-authors include Jing Tai Zhao, Ya Cao, Genxi Li, Xiaomeng Yu, Jie An Yang, Bing Han, Minghui Wang, Yuxin Lin, Lin Wang and Minghui Wang. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Materials Chemistry B, Analytica Chimica Acta, Analytical Chemistry and Critical Reviews in Analytical Chemistry.
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.