Ting Xiao
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 8
- Cancer-related molecular mechanisms research 7
- Cancer Genomics and Diagnostics 6
- Oncology top 10%
- Peptidase Inhibition and Analysis 6
- Immunology top 10%
- Molecular Biology top 10%
- RNA modifications and cancer 13
- Glycosylation and Glycoproteins Research 7
- Cell Biology top 10%
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- Ferroptosis and cancer prognosis 14
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- Thyroid Cancer Diagnosis and Treatment 7
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (5 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ting Xiao
83 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 372
- Oncology 352
- Immunology 235
- Molecular Biology 693
- Cell Biology 155
Countries citing papers authored by Ting Xiao
This map shows the geographic impact of Ting Xiao'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 Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Xiao more than expected).
Fields of papers citing papers by Ting Xiao
This network shows the impact of papers produced by Ting Xiao. 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 Xiao. The network helps show where Ting Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting Xiao, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 133 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 24 | |
| 13 | 2016 | 14 | |
| 14 | [Comparison of histopathologic changes and expression of biomarkers in breast carcinoma before and after neoadjuvant chemotherapy]. | 2011 | 5 |
| 15 | ENO1 Protein Levels in the Tumor Tissues and Circulating Plasma Samples of Non-small Cell Lung Cancer Patients | 2010 | 6 |
| 16 | 2010 | 49 | |
| 17 | Fhit protein expression in lung cancer studied by high-throughput tissue microarray. | 2007 | 3 |
| 18 | Effect of Freeze-thaw on the Structure of Hardened Cement Paste and Concrete | 2007 | 1 |
| 19 | 2007 | 51 | |
| 20 | Influence of Flexural Load on the Carbonation Processes of Cement Paste and Mortar | 2004 | 1 |
About Ting Xiao
Ting Xiao is a scholar working on Cancer Research, Metals and Alloys and Oncology, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (14 papers), RNA modifications and cancer (13 papers), Cancer, Hypoxia, and Metabolism (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Glycosylation and Glycoproteins Research (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Cancer Research (372 citations), Oncology (352 citations) and Immunology (235 citations). Ting Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yanning Gao, Shujun Cheng, Xuebing Di, Naijun Han, Kaitai Zhang, Lin Feng, Wei Gao, Jinfang Ma, Wenyue Sun and Shujun Cheng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.