Qingping Jiang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
-
- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- Kruppel-like factors research 2
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 6
- Co-authors
- Weiyi Fang (7 shared papers)Xin Li (4 shared papers)Huiling Yang (4 shared papers)Kai‐Tai Yao (2 shared papers)Zhen Liu (2 shared papers)Siming Xie (2 shared papers)Hanzhen Xiong (5 shared papers)Libo Li (2 shared papers)
- Journals
- Diagnostic Pathology (2 papers)Histopathology (2 papers)Nature Communications (1 paper)Carcinogenesis (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Qingping Jiang
23 papers receiving 684 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 150
- Clinical Biochemistry 37
- Molecular Biology 374
- Oncology 134
- Otorhinolaryngology 20
Countries citing papers authored by Qingping Jiang
This map shows the geographic impact of Qingping Jiang'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 Qingping Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingping Jiang more than expected).
Fields of papers citing papers by Qingping Jiang
This network shows the impact of papers produced by Qingping Jiang. 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 Qingping Jiang. The network helps show where Qingping Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingping Jiang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 144 | |
| 2 | 2017 | 115 | |
| 3 | 2019 | 74 | |
| 4 | 2019 | 63 | |
| 5 | 2010 | 55 | |
| 6 | 2019 | 39 | |
| 7 | 2013 | 29 | |
| 8 | 2019 | 27 | |
| 9 | 2020 | 24 | |
| 10 | 2012 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2013 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2013 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Qingping Jiang
Qingping Jiang is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Epidemiology and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), RNA modifications and cancer (3 papers), Kruppel-like factors research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), AI in cancer detection (2 papers), Autopsy Techniques and Outcomes (1 paper), Cancer Genomics and Diagnostics (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Cancer Research (150 citations), Clinical Biochemistry (37 citations), Molecular Biology (374 citations), Oncology (134 citations) and Otorhinolaryngology (20 citations). Qingping Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Weiyi Fang, Xin Li, Huiling Yang, Kai‐Tai Yao, Zhen Liu, Siming Xie, Hanzhen Xiong, Libo Li, Wei‐Bing Xie and Jing Huang. Their work appears in journals such as Diagnostic Pathology, Histopathology, Nature Communications, Carcinogenesis and Signal Transduction and Targeted Therapy.
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.