Xiaoling Su
Impact in
-
- SARS-CoV-2 and COVID-19 Research
-
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Glycosylation and Glycoproteins Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Gut microbiota and health 6
- vaccines and immunoinformatics approaches 3
- RNA modifications and cancer 3
- Epidemiology 10
- 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)Wei Xu (2 shared papers)Tao Huan (2 shared papers)
- Journals
- Frontiers in Microbiology (3 papers)Analytical Chemistry (3 papers)Analytica Chimica Acta (2 papers)Scientific Reports (2 papers)Virulence (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoling Su
38 papers receiving 637 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 90
- Molecular Biology 347
- Microbiology 29
- Spectroscopy 77
- Cancer Research 43
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 69 | |
| 2 | 2015 | 64 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 34 | |
| 6 | 2010 | 30 | |
| 7 | 2017 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2022 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 2022 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2024 | 20 | |
| 16 | 2022 | 19 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2024 | 16 | |
| 20 | 2023 | 14 |
About Xiaoling Su
Xiaoling Su is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Physiology, having authored 42 papers that have together received 642 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Gut microbiota and health (6 papers), Liver Disease Diagnosis and Treatment (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Diet and metabolism studies (5 papers), Microbial infections and disease research (3 papers), vaccines and immunoinformatics approaches (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Infectious Diseases (90 citations), Molecular Biology (347 citations), Microbiology (29 citations), Spectroscopy (77 citations) and Cancer Research (43 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, Wei Xu, Tao Huan, Jing Jiang and Chong Shen. Their work appears in journals such as Frontiers in Microbiology, Analytical Chemistry, Analytica Chimica Acta, Scientific Reports 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.