Qi Yang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
- Cancer-related gene regulation
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 11
- Breast Cancer Treatment Studies 7
- Oncology 35
- Cancer-related Molecular Pathways 9
Qi Yang
156 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 990
- Molecular Biology 2.1k
- Oncology 739
- Immunology 377
- Pathology and Forensic Medicine 306
Countries citing papers authored by Qi Yang
This map shows the geographic impact of Qi Yang'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 Qi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yang more than expected).
Fields of papers citing papers by Qi Yang
This network shows the impact of papers produced by Qi Yang. 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 Qi Yang. The network helps show where Qi Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 9 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 4 | |
| 9 | Role of Hub Genes in the Occurrence and Development of Testicular Cancer Based on Bioinformatics | 2022 | 8 |
| 10 | 2022 | 42 | |
| 11 | Upregulation of STC2 in colorectal cancer and its clinicopathological significance | 2019 | 4 |
| 12 | 2018 | 53 | |
| 13 | Automated geographic atrophy detection in OCT volumes | 2018 | 2 |
| 14 | 2018 | 10 | |
| 15 | 2018 | 40 | |
| 16 | 2018 | 23 | |
| 17 | 2017 | 1 | |
| 18 | 2010 | 1 | |
| 19 | Expression of cytokeratin markers, ER-alpha, PR, HER-2/neu, and EGFR in pure ductal carcinoma in situ (DCIS) and DCIS with co-existing invasive ductal carcinoma (IDC) of the breast. | 2007 | 62 |
| 20 | 2005 | 2 |
About Qi Yang
Qi Yang is a scholar working on Cancer Research, Oncology, Molecular Biology, Dermatology and Pathology and Forensic Medicine, having authored 161 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (21 papers), Epigenetics and DNA Methylation (18 papers), Cancer-related molecular mechanisms research (14 papers), Cancer-related gene regulation (13 papers), MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (11 papers), Cancer-related Molecular Pathways (9 papers) and Breast Cancer Treatment Studies (7 papers). The work is most often cited by research in Cancer Research (990 citations), Molecular Biology (2.1k citations), Oncology (739 citations), Immunology (377 citations) and Pathology and Forensic Medicine (306 citations). Qi Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Peng Hou, Meiju Ji, Bingyin Shi, Patricia Bourne, Wei Jiang, Haixia Guan, Yiping Qu, Fang Sui, Bingyin Shi and Chao Zhang. Their work appears in journals such as Human Pathology, Oncotarget, Oncogene, Diagnostic Pathology and The Journal of Clinical Endocrinology & Metabolism.
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.