Da Qi
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
-
- Barrier Structure and Function Studies
Papers in
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 10
-
- Mechanisms of cancer metastasis 5
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Huinan Qu (12 shared papers)Chengshi Quan (12 shared papers)Andrew R. Jones (10 shared papers)Yuan Dong (10 shared papers)Xinqi Wang (5 shared papers)Yiyang Jia (4 shared papers)Wenhong Xu (5 shared papers)Peiye Song (4 shared papers)
- Journals
- PROTEOMICS (4 papers)Journal of Experimental & Clinical Cancer Research (3 papers)Molecular & Cellular Proteomics (2 papers)Cellular Signalling (2 papers)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Da Qi
27 papers receiving 719 citations
Peers
Comparison fields: 5 of 80
- Spectroscopy 159
- Neurology 46
- Cancer Research 69
- Genetics 32
- Molecular Biology 211
Countries citing papers authored by Da Qi
This map shows the geographic impact of Da Qi'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 Da Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Qi more than expected).
Fields of papers citing papers by Da Qi
This network shows the impact of papers produced by Da Qi. 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 Da Qi. The network helps show where Da Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Qi, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2013 | 58 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 52 | |
| 5 | 2014 | 48 | |
| 6 | 2019 | 48 | |
| 7 | 2020 | 46 | |
| 8 | 2012 | 43 | |
| 9 | 2010 | 30 | |
| 10 | 2019 | 27 | |
| 11 | 2023 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2018 | 22 | |
| 14 | 2017 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2024 | 17 | |
| 18 | 2022 | 14 | |
| 19 | 2014 | 8 | |
| 20 | 2013 | 6 |
About Da Qi
Da Qi is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Oncology and Neurology, having authored 27 papers that have together received 722 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Mechanisms of cancer metastasis (5 papers), Barrier Structure and Function Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers), Estrogen and related hormone effects (2 papers), Cancer Immunotherapy and Biomarkers (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Spectroscopy (159 citations), Neurology (46 citations), Cancer Research (69 citations), Genetics (32 citations) and Molecular Biology (211 citations). Da Qi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Huinan Qu, Chengshi Quan, Andrew R. Jones, Yuan Dong, Xinqi Wang, Yiyang Jia, Wenhong Xu, Peiye Song, Yantong Guo and Xiangshu Jin. Their work appears in journals such as PROTEOMICS, Journal of Experimental & Clinical Cancer Research, Molecular & Cellular Proteomics, Cellular Signalling and Stem Cell Research & Therapy.
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.