Qinglan Sun
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- Microbial Community Ecology and Physiology
Papers in
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- Genomics and Phylogenetic Studies 6
- Microbial Metabolic Engineering and Bioproduction 3
- vaccines and immunoinformatics approaches 3
- Ecology 7
- Microbial Community Ecology and Physiology 4
- Bacteriophages and microbial interactions 3
- Co-authors
- Juncai Ma (14 shared papers)Linhuan Wu (15 shared papers)Guomei Fan (11 shared papers)Di Liu (4 shared papers)Shuang‐Jiang Liu (2 shared papers)Wei Li (3 shared papers)Supawadee Ingsriswang (2 shared papers)Vincent Robert (2 shared papers)
- Journals
- Nucleic Acids Research (9 papers)Molecular Neurobiology (2 papers)Scientific Reports (1 paper)Gene (1 paper)Brachytherapy (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qinglan Sun
22 papers receiving 293 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 46
- Ecology 63
- Molecular Biology 169
- Neurology 18
- Modeling and Simulation 10
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2016 | 34 | |
| 3 | 2013 | 34 | |
| 4 | 2015 | 29 | |
| 5 | 2013 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 2014 | 21 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 16 | |
| 10 | 2015 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 3 | |
| 15 | Integrated Core Facility Support and Optimization of Next Generation Sequencing Technologies | 2011 | 2 |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 1 |
About Qinglan Sun
Qinglan Sun is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 25 papers that have together received 298 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers), Bacteriophages and microbial interactions (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (46 citations), Ecology (63 citations), Molecular Biology (169 citations), Neurology (18 citations) and Modeling and Simulation (10 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, Shuang‐Jiang Liu, Wei Li, Supawadee Ingsriswang, Vincent Robert, Yu‐Guang Zhou and Hideaki Sugawara. Their work appears in journals such as Nucleic Acids Research, Molecular Neurobiology, Scientific Reports, Gene and Brachytherapy.
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.