Ting Qin
Impact in
-
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
- Genetics 8
- Hemoglobinopathies and Related Disorders 8
-
- Protein purification and stability 3
- Co-authors
- Famei Li (4 shared papers)Feng Qin (4 shared papers)Weizhu Qian (4 shared papers)Jin Xu (4 shared papers)Boning Liu (4 shared papers)Jianxin Dai (4 shared papers)Qingcheng Guo (4 shared papers)Huaizu Guo (4 shared papers)
- Journals
- mAbs (2 papers)Frontiers in Genetics (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Journal of Chromatography B (2 papers)Neural Processing Letters (2 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ting Qin
28 papers receiving 304 citations
Peers
Comparison fields: 5 of 81
- Immunology 80
- Analytical Chemistry 31
- Genetics 26
- Radiology, Nuclear Medicine and Imaging 46
- Oncology 43
Countries citing papers authored by Ting Qin
This map shows the geographic impact of Ting Qin'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 Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Qin more than expected).
Fields of papers citing papers by Ting Qin
This network shows the impact of papers produced by Ting Qin. 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 Qin. The network helps show where Ting Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Qin, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2016 | 44 | |
| 3 | 2010 | 31 | |
| 4 | 2005 | 28 | |
| 5 | 2010 | 18 | |
| 6 | 2023 | 16 | |
| 7 | 2004 | 14 | |
| 8 | 2009 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2005 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Ting Qin
Ting Qin is a scholar working on Genetics, Molecular Biology, Control and Systems Engineering, Computer Vision and Pattern Recognition and Oncology, having authored 40 papers that have together received 330 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Fault Detection and Control Systems (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Advanced Control Systems Optimization (3 papers), UAV Applications and Optimization (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Immunology (80 citations), Analytical Chemistry (31 citations), Genetics (26 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Oncology (43 citations). Ting Qin has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Famei Li, Feng Qin, Weizhu Qian, Jin Xu, Boning Liu, Jianxin Dai, Qingcheng Guo, Huaizu Guo, Sheng Hou and Zonghai Chen. Their work appears in journals such as mAbs, Frontiers in Genetics, Journal of Clinical Laboratory Analysis, Journal of Chromatography B and Neural Processing Letters.
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.