Qing Zhao
- Molecular Biology
- Physiology top 10%
- Immunology
- Cellular and Molecular Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Dingfang CaiZhi‐Li HuangXin ZhaoChangrui ChenYing XuAiming LiuWenwei LiJun Zhao
- Topics
- Nanoplatforms for cancer theranostics (7 papers)Endoplasmic Reticulum Stress and Disease (7 papers)Nerve injury and regeneration (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaCoordination Chemistry ReviewsBrain Research
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qing Zhao
79 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 387
- Physiology 227
- Immunology 159
- Cellular and Molecular Neuroscience 138
- Pulmonary and Respiratory Medicine 137
Countries citing papers authored by Qing Zhao
This map shows the geographic impact of Qing Zhao'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 Qing Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Zhao more than expected).
Fields of papers citing papers by Qing Zhao
This network shows the impact of papers produced by Qing Zhao. 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 Qing Zhao. The network helps show where Qing Zhao may publish in the future.
Co-authorship network of co-authors of Qing Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zhao. A scholar is included among the top collaborators of Qing Zhao 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 Qing Zhao. Qing Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 43 | |
| 11 | Psychological Resilience as the Mediating Factor Between Stigma and Social Avoidance and Distress of Infertility Patients in China: A Structural Equation Modeling Analysis | 26 |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | Large-cell neuroendocrine carcinoma of nasal cavity and paranasal sinuses after successful curative therapy: a case report and literature review | 0 |
| 19 | 20 | |
| 20 | 9 |
About Qing Zhao
Qing Zhao is a scholar working on Neurology, Pharmacology and Aging, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Molecular Medicine (65 citations), Pharmacology (98 citations) and Neurology (88 citations). Qing Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dingfang Cai, Zhi‐Li Huang, Xin Zhao, Changrui Chen, Ying Xu, Aiming Liu, Wenwei Li, Jun Zhao, Zhaohui He and Xiang Xiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Coordination Chemistry Reviews and Brain Research.
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.