Yide Qin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA modifications and cancer
- Circular RNAs in diseases
- Machine Learning in Bioinformatics
Papers in
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
-
- Infant Nutrition and Health 4
- Journals
- BMC Cancer (3 papers)Oncotarget (2 papers)PLoS ONE (2 papers)Bioinformatics (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Yide Qin
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 287
- Molecular Biology 886
- Computational Theory and Mathematics 115
- Biological Psychiatry 14
- Immunology 90
Countries citing papers authored by Yide Qin
This map shows the geographic impact of Yide 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 Yide Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yide Qin more than expected).
Fields of papers citing papers by Yide Qin
This network shows the impact of papers produced by Yide 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 Yide Qin. The network helps show where Yide Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yide 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 11 | |
| 6 | 2017 | 16 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 12 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 26 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 20 | |
| 14 | 2013 | 25 | |
| 15 | 2010 | 127 | |
| 16 | 2009 | 22 | |
| 17 | 2009 | 5 | |
| 18 | Curve Fitting to Milk Components Changes in Sows | 2004 | 1 |
| 19 | [Dynamic changes of enzymes activities and growth factors contents in human colostrum]. | 2004 | 6 |
| 20 | Dynamic analyses of protein components in Erhualian sow milk | 2003 | 1 |
About Yide Qin
Yide Qin is a scholar working on Cancer Research, Nutrition and Dietetics, Molecular Biology, Pharmacy and Molecular Medicine, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (5 papers), MicroRNA in disease regulation (4 papers), Infant Nutrition and Health (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), Virus-based gene therapy research (2 papers) and Asymmetric Hydrogenation and Catalysis (2 papers). The work is most often cited by research in Cancer Research (287 citations), Molecular Biology (886 citations), Computational Theory and Mathematics (115 citations), Biological Psychiatry (14 citations) and Immunology (90 citations). Yide Qin has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Xiaochen Bo, Guangchuang Yu, Yibo Wu, Fei Li, Shengqi Wang, Hanjiang Fu, Xiaofei Zheng, Ruiyun Xing, Jie Zhu and Chengwang Xu. Their work appears in journals such as BMC Cancer, Oncotarget, PLoS ONE, Bioinformatics and Thrombosis and Haemostasis.
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.