Xiaoling Su
Impact in
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- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Glycosylation and Glycoproteins Research
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Metabolomics and Mass Spectrometry Studies 9
- Gut microbiota and health 6
- RNA modifications and cancer 3
- vaccines and immunoinformatics approaches 3
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Deying Chen (12 shared papers)Lanjuan Li (13 shared papers)Liang Li (8 shared papers)Zeyu Sun (11 shared papers)Nan Wang (4 shared papers)Yingfeng Lu (4 shared papers)Tao Huan (2 shared papers)Wei Xu (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Frontiers in Microbiology (3 papers)Scientific Reports (2 papers)Analytica Chimica Acta (2 papers)Virulence (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoling Su
37 papers receiving 580 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 354
- Infectious Diseases 87
- Microbiology 29
- Spectroscopy 69
- Cancer Research 54
Countries citing papers authored by Xiaoling Su
This map shows the geographic impact of Xiaoling Su'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 Xiaoling Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Su more than expected).
Fields of papers citing papers by Xiaoling Su
This network shows the impact of papers produced by Xiaoling Su. 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 Xiaoling Su. The network helps show where Xiaoling Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Su, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 65 | |
| 2 | 2015 | 61 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 36 | |
| 5 | 2021 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2015 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2017 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2024 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 11 |
About Xiaoling Su
Xiaoling Su is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Immunology and Physiology, having authored 41 papers that have together received 585 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Diet and metabolism studies (6 papers), Gut microbiota and health (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Liver Disease Diagnosis and Treatment (5 papers), RNA modifications and cancer (3 papers), Microbial infections and disease research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Molecular Biology (354 citations), Infectious Diseases (87 citations), Microbiology (29 citations), Spectroscopy (69 citations) and Cancer Research (54 citations). Xiaoling Su has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Deying Chen, Lanjuan Li, Liang Li, Zeyu Sun, Nan Wang, Yingfeng Lu, Tao Huan, Wei Xu, Jing Jiang and Chong Shen. Their work appears in journals such as Analytical Chemistry, Frontiers in Microbiology, Scientific Reports, Analytica Chimica Acta and Virulence.
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.