Tingting Qiao
- Molecular Biology
- Physiology
- Genetics
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Xiaqing YuXiaoying GuoDemin LiSimin LiuZhongwei LvQiong LuoLan MaDan Li
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Nuclear Medicine and Molecular ImagingThyroid
- Partner nations
- ChinaIndiaSaudi Arabia
In The Last Decade
Tingting Qiao
20 papers receiving 337 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 180
- Physiology 64
- Genetics 61
- Radiology, Nuclear Medicine and Imaging 52
- Endocrinology, Diabetes and Metabolism 51
Countries citing papers authored by Tingting Qiao
This map shows the geographic impact of Tingting Qiao'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 Tingting Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Qiao more than expected).
Fields of papers citing papers by Tingting Qiao
This network shows the impact of papers produced by Tingting Qiao. 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 Tingting Qiao. The network helps show where Tingting Qiao may publish in the future.
Co-authorship network of co-authors of Tingting Qiao
This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Qiao. A scholar is included among the top collaborators of Tingting Qiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingting Qiao. Tingting Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams | 28 |
| 12 | 3 | |
| 13 | 30 | |
| 14 | 7 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 70 | |
| 18 | 65 | |
| 19 | 64 | |
| 20 | 9 |
About Tingting Qiao
Tingting Qiao is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Otorhinolaryngology, having authored 24 papers that have together received 344 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Health Informatics (16 citations), Endocrinology, Diabetes and Metabolism (51 citations) and Molecular Biology (180 citations). Tingting Qiao has collaborated with scholars based in China, India and Saudi Arabia. Frequent co-authors include Xiaqing Yu, Xiaoying Guo, Demin Li, Simin Liu, Zhongwei Lv, Qiong Luo, Lan Ma, Dan Li, Ruixue Zhang and Yingchun Song. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Nuclear Medicine and Molecular Imaging and Thyroid.
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.