Yinlong Guo
- Pharmaceutical Science top 0.2%
- Fluorine in Organic Chemistry 16
- Spectroscopy top 0.5%
- Mass Spectrometry Techniques and Applications 100
- Analytical Chemistry and Chromatography 65
- Advanced Proteomics Techniques and Applications 17
- Organic Chemistry top 0.5%
- Catalytic C–H Functionalization Methods 32
- Catalytic Cross-Coupling Reactions 17
- Inorganic Chemistry top 1%
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- Metabolomics and Mass Spectrometry Studies 44
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- Analytical chemistry methods development 19
- Co-authors
- Haoyang WangGuosheng LiuXin MuTao WuShifang RenJing ZhangLi ZhangShengming Ma
- Journals
- Journal of the American Chemical Society (12 papers)Journal of Biological Chemistry (2 papers)Angewandte Chemie International Edition (6 papers)
- Partner nations
- ChinaUnited StatesMontenegro
In The Last Decade
Yinlong Guo
212 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 120
- Pharmaceutical Science 969
- Spectroscopy 1.6k
- Organic Chemistry 2.6k
- Inorganic Chemistry 857
- Process Chemistry and Technology 153
Countries citing papers authored by Yinlong Guo
This map shows the geographic impact of Yinlong Guo'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 Yinlong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinlong Guo more than expected).
Fields of papers citing papers by Yinlong Guo
This network shows the impact of papers produced by Yinlong Guo. 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 Yinlong Guo. The network helps show where Yinlong Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yinlong Guo, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 57 | |
| 14 | 2021 | 31 | |
| 15 | 2020 | 47 | |
| 16 | 2019 | 21 | |
| 17 | 2017 | 19 | |
| 18 | 2014 | 5 | |
| 19 | Analysis of Volatile Compounds from Antirheumatism Analgesic Prescription by Static-Headspace-GC-MS | 2004 | 0 |
| 20 | RP-HPLC analysis of saikosaponin a,c,d in Chinese Thorowax (Bupleurum L.) | 1996 | 2 |
About Yinlong Guo
Yinlong Guo is a scholar working on Spectroscopy, Pharmaceutical Science and Organic Chemistry, having authored 218 papers that have together received 5.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (100 papers), Analytical Chemistry and Chromatography (65 papers), Metabolomics and Mass Spectrometry Studies (44 papers), Catalytic C–H Functionalization Methods (32 papers), Analytical chemistry methods development (19 papers), Advanced Proteomics Techniques and Applications (17 papers), Catalytic Cross-Coupling Reactions (17 papers) and Fluorine in Organic Chemistry (16 papers). The work is most often cited by research in Pharmaceutical Science (969 citations), Spectroscopy (1.6k citations) and Organic Chemistry (2.6k citations). Yinlong Guo has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Haoyang Wang, Guosheng Liu, Xin Mu, Tao Wu, Shifang Ren, Jing Zhang, Li Zhang, Shengming Ma, Xingang Zhang and Rong Qian. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.