Qing Guan
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
-
- Cancer-related molecular mechanisms research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 8
- RNA modifications and cancer 4
- Surgery 11
- Adrenal and Paraganglionic Tumors 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Chunhui Yuan (6 shared papers)Tuanqi Sun (8 shared papers)Huijun Li (10 shared papers)Yinlong Guo (7 shared papers)Liming Cheng (14 shared papers)Yanjing Cao (5 shared papers)Ying Shen (12 shared papers)Zhen Qu (4 shared papers)
- Journals
- Analytica Chimica Acta (6 papers)Journal of Chromatography B (4 papers)Biomedical Chromatography (3 papers)Journal of Clinical Laboratory Analysis (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Qing Guan
51 papers receiving 933 citations
Peers
Comparison fields: 5 of 116
- Spectroscopy 172
- Cancer Research 153
- Molecular Biology 440
- Periodontics 26
- Immunology 97
Countries citing papers authored by Qing Guan
This map shows the geographic impact of Qing Guan'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 Qing Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Guan more than expected).
Fields of papers citing papers by Qing Guan
This network shows the impact of papers produced by Qing Guan. 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 Qing Guan. The network helps show where Qing Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Guan, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2016 | 64 | |
| 3 | 2016 | 59 | |
| 4 | 2012 | 53 | |
| 5 | 2023 | 49 | |
| 6 | 2020 | 40 | |
| 7 | 2016 | 38 | |
| 8 | 2018 | 36 | |
| 9 | 2015 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2013 | 33 | |
| 12 | 2014 | 25 | |
| 13 | 2016 | 24 | |
| 14 | 2018 | 24 | |
| 15 | 2015 | 22 | |
| 16 | 2015 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2017 | 19 | |
| 19 | 2016 | 17 | |
| 20 | 2016 | 17 |
About Qing Guan
Qing Guan is a scholar working on Molecular Biology, Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 56 papers that have together received 948 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Analytical Chemistry and Chromatography (6 papers), Hormonal Regulation and Hypertension (5 papers), RNA modifications and cancer (4 papers), Hormonal and reproductive studies (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Spectroscopy (172 citations), Cancer Research (153 citations), Molecular Biology (440 citations), Periodontics (26 citations) and Immunology (97 citations). Qing Guan has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Chunhui Yuan, Tuanqi Sun, Huijun Li, Yinlong Guo, Liming Cheng, Yanjing Cao, Ying Shen, Zhen Qu, Changqing Yin and Jiapeng Leng. Their work appears in journals such as Analytica Chimica Acta, Journal of Chromatography B, Biomedical Chromatography, Journal of Clinical Laboratory Analysis and Frontiers in Immunology.
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.