Ning Qu
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- Thyroid Cancer Diagnosis and Treatment 34
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- RNA modifications and cancer 4
- Co-authors
- Qinghai Ji (24 shared papers)Tian Liao (21 shared papers)Yongxue Zhu (15 shared papers)Qinghai Ji (22 shared papers)Rong‐Liang Shi (22 shared papers)Ling Zhang (8 shared papers)Ben Ma (18 shared papers)Rong-Liang Shi (12 shared papers)
- Journals
- Tumor Biology (6 papers)Oncotarget (4 papers)International Journal of Oncology (3 papers)Nature Communications (3 papers)Thyroid (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ning Qu
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 649
- Cancer Research 211
- Oncology 227
- Otorhinolaryngology 24
- Immunology 112
Countries citing papers authored by Ning Qu
This map shows the geographic impact of Ning Qu'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 Ning Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Qu more than expected).
Fields of papers citing papers by Ning Qu
This network shows the impact of papers produced by Ning Qu. 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 Ning Qu. The network helps show where Ning Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Qu, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2015 | 74 | |
| 3 | 2016 | 69 | |
| 4 | 2014 | 66 | |
| 5 | 2020 | 65 | |
| 6 | 2016 | 55 | |
| 7 | 2016 | 52 | |
| 8 | 2023 | 43 | |
| 9 | 2021 | 41 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 30 | |
| 12 | 2024 | 28 | |
| 13 | 2016 | 28 | |
| 14 | 2016 | 28 | |
| 15 | 2017 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 26 | |
| 18 | 2015 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2024 | 23 |
About Ning Qu
Ning Qu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Cancer Research, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (34 papers), Cancer-related Molecular Pathways (7 papers), Head and Neck Anomalies (7 papers), Thyroid and Parathyroid Surgery (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (649 citations), Cancer Research (211 citations), Oncology (227 citations), Otorhinolaryngology (24 citations) and Immunology (112 citations). Ning Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinghai Ji, Tian Liao, Yongxue Zhu, Qinghai Ji, Rong‐Liang Shi, Ling Zhang, Ben Ma, Rong-Liang Shi, Yulong Wang and Duan-Shu Li. Their work appears in journals such as Tumor Biology, Oncotarget, International Journal of Oncology, Nature Communications 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.