Ting Xue
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 12
-
- Antibiotic Resistance in Bacteria 13
- Co-authors
- Baolin SunHaipeng SunLiping ZhaoFei ShangDan YuXiaolin ChenHui WangQiu Jiang
- Journals
- Food Research International (5 papers)Poultry Science (4 papers)Academic Radiology (4 papers)Journal of Dairy Science (4 papers)Infection and Immunity (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ting Xue
117 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Endocrinology 289
- Molecular Medicine 244
- Infectious Diseases 613
- Microbiology 203
- Molecular Biology 1.3k
Countries citing papers authored by Ting Xue
This map shows the geographic impact of Ting Xue'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 Ting Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Xue more than expected).
Fields of papers citing papers by Ting Xue
This network shows the impact of papers produced by Ting Xue. 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 Ting Xue. The network helps show where Ting Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 7 | |
| 10 | A paper-based assay for the colorimetric detection of SARS-CoV-2 variants at single-nucleotide resolution Hit paper breakdown → | 2022 | 152 |
| 11 | 2022 | 42 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 26 | |
| 16 | 2019 | 21 | |
| 17 | 2016 | 8 | |
| 18 | 2015 | 39 | |
| 19 | 2014 | 84 | |
| 20 | 2014 | 49 |
About Ting Xue
Ting Xue is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Microbiology and Research and Theory, having authored 127 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (37 papers), Antimicrobial Resistance in Staphylococcus (28 papers), Bacterial Genetics and Biotechnology (24 papers), Antibiotic Resistance in Bacteria (13 papers), Escherichia coli research studies (12 papers), Antimicrobial Peptides and Activities (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Surgical Treatments (7 papers). The work is most often cited by research in Endocrinology (289 citations), Molecular Medicine (244 citations), Infectious Diseases (613 citations), Microbiology (203 citations) and Molecular Biology (1.3k citations). Ting Xue has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Baolin Sun, Haipeng Sun, Liping Zhao, Fei Shang, Fei Shang, Dan Yu, Xiaolin Chen, Hui Wang, Qiu Jiang and Kezong Qi. Their work appears in journals such as Food Research International, Poultry Science, Academic Radiology, Journal of Dairy Science and Infection and Immunity.
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.