Lingjue Wang
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Advanced Biosensing Techniques and Applications
Papers in
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- Metabolomics and Mass Spectrometry Studies 5
- Glutathione Transferases and Polymorphisms 1
- Peroxisome Proliferator-Activated Receptors 1
- Ubiquitin and proteasome pathways 1
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
- Analytical Chemistry and Chromatography 3
- Co-authors
- Gary J. Patti (8 shared papers)Fuad J. Naser (3 shared papers)Elizabeth M. Llufrio (1 shared paper)Ruijun Tian (3 shared papers)Wendong Chen (2 shared papers)Mi Ke (2 shared papers)Shuai Wang (1 shared paper)Pengyuan Yang (1 shared paper)
- Journals
- Analytical Chemistry (4 papers)Journal of Nuclear Medicine (1 paper)Nature Chemical Biology (1 paper)EMBO Reports (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Lingjue Wang
13 papers receiving 403 citations
Peers
Comparison fields: 5 of 78
- Spectroscopy 145
- Molecular Biology 256
- Cancer Research 40
- Aging 5
- Immunology 51
Countries citing papers authored by Lingjue Wang
This map shows the geographic impact of Lingjue 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 Lingjue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjue Wang more than expected).
Fields of papers citing papers by Lingjue Wang
This network shows the impact of papers produced by Lingjue 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 Lingjue Wang. The network helps show where Lingjue Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjue 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 137 | |
| 2 | 2016 | 111 | |
| 3 | 2019 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2017 | 25 | |
| 6 | 2018 | 20 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2024 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2025 | 1 |
About Lingjue Wang
Lingjue Wang is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Biochemistry and Biomedical Engineering, having authored 13 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (3 papers), Analytical Chemistry and Chromatography (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glutathione Transferases and Polymorphisms (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Spectroscopy (145 citations), Molecular Biology (256 citations), Cancer Research (40 citations), Aging (5 citations) and Immunology (51 citations). Lingjue Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gary J. Patti, Fuad J. Naser, Elizabeth M. Llufrio, Ruijun Tian, Wendong Chen, Mi Ke, Shuai Wang, Pengyuan Yang, Subash Adhikari and Ethan Stancliffe. Their work appears in journals such as Analytical Chemistry, Journal of Nuclear Medicine, Nature Chemical Biology, EMBO Reports and Journal of Lipid 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.