Junyue Ge
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 7
- Physiology 11
- Alzheimer's disease research and treatments 11
- Co-authors
- Ping Li (5 shared papers)Bin Li (5 shared papers)Hua Yang (2 shared papers)Dejun Hu (1 shared paper)Wei Liu (1 shared paper)Elizabeth K. Neumann (1 shared paper)Wen Gao (1 shared paper)Jonathan V. Sweedler (1 shared paper)
- Journals
- ACS Chemical Neuroscience (2 papers)Analytical Chemistry (2 papers)Nature Communications (2 papers)Journal of Neurochemistry (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Junyue Ge
17 papers receiving 397 citations
Peers
Comparison fields: 5 of 69
- Spectroscopy 198
- Complementary and alternative medicine 45
- Molecular Biology 270
- Biological Psychiatry 6
- Analytical Chemistry 23
Countries citing papers authored by Junyue Ge
This map shows the geographic impact of Junyue Ge'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 Junyue Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyue Ge more than expected).
Fields of papers citing papers by Junyue Ge
This network shows the impact of papers produced by Junyue Ge. 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 Junyue Ge. The network helps show where Junyue Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyue Ge, 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 | 88 | |
| 2 | 2021 | 72 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 31 | |
| 6 | 2021 | 25 | |
| 7 | 2024 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2025 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Junyue Ge
Junyue Ge is a scholar working on Molecular Biology, Physiology, Spectroscopy, Computational Theory and Mathematics and Psychiatry and Mental health, having authored 18 papers that have together received 402 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (3 papers), Dementia and Cognitive Impairment Research (3 papers), Ion-surface interactions and analysis (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Spectroscopy (198 citations), Complementary and alternative medicine (45 citations), Molecular Biology (270 citations), Biological Psychiatry (6 citations) and Analytical Chemistry (23 citations). Junyue Ge has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Ping Li, Bin Li, Hua Yang, Dejun Hu, Wei Liu, Elizabeth K. Neumann, Wen Gao, Jonathan V. Sweedler, Jörg Hanrieder and Jun Chen. Their work appears in journals such as ACS Chemical Neuroscience, Analytical Chemistry, Nature Communications, Journal of Neurochemistry and Analytical and Bioanalytical 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.