Qinglan Sun
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Prion Diseases and Protein Misfolding
Papers in
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- Genomics and Phylogenetic Studies 5
- Microbial Metabolic Engineering and Bioproduction 3
- vaccines and immunoinformatics approaches 3
- Gene expression and cancer classification 2
- Ecology 7
- Microbial Community Ecology and Physiology 4
- Bacteriophages and microbial interactions 3
- Co-authors
- Juncai Ma (15 shared papers)Linhuan Wu (16 shared papers)Guomei Fan (12 shared papers)Di Liu (4 shared papers)Yu‐Guang Zhou (2 shared papers)Wei Li (3 shared papers)Vincent Robert (2 shared papers)Kevin McCluskey (2 shared papers)
- Journals
- Nucleic Acids Research (9 papers)Molecular Neurobiology (2 papers)Genomics Proteomics & Bioinformatics (1 paper)Gene (1 paper)Journal of Biomolecular Techniques JBT (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qinglan Sun
23 papers receiving 329 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 47
- Molecular Biology 174
- Ecology 66
- Neurology 15
- Modeling and Simulation 8
Countries citing papers authored by Qinglan Sun
This map shows the geographic impact of Qinglan Sun'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 Qinglan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinglan Sun more than expected).
Fields of papers citing papers by Qinglan Sun
This network shows the impact of papers produced by Qinglan Sun. 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 Qinglan Sun. The network helps show where Qinglan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinglan Sun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2013 | 40 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 29 | |
| 5 | 2013 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2023 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2014 | 21 | |
| 10 | 2015 | 12 | |
| 11 | 2023 | 8 | |
| 12 | 2015 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | Integrated Core Facility Support and Optimization of Next Generation Sequencing Technologies | 2011 | 2 |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Qinglan Sun
Qinglan Sun is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 335 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), vaccines and immunoinformatics approaches (3 papers), Bacteriophages and microbial interactions (3 papers), Gene expression and cancer classification (2 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Infectious Diseases (47 citations), Molecular Biology (174 citations), Ecology (66 citations), Neurology (15 citations) and Modeling and Simulation (8 citations). Qinglan Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Juncai Ma, Linhuan Wu, Guomei Fan, Di Liu, Yu‐Guang Zhou, Wei Li, Vincent Robert, Kevin McCluskey, Moriya Ohkuma and Supawadee Ingsriswang. Their work appears in journals such as Nucleic Acids Research, Molecular Neurobiology, Genomics Proteomics & Bioinformatics, Gene and Journal of Biomolecular Techniques JBT.
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.