Jing Yi
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 16
- Retinoids in leukemia and cellular processes 6
- Mitochondrial Function and Pathology 6
- Oncology 13
- Cancer-related Molecular Pathways 5
- Co-authors
- Jie Yang (16 shared papers)Kai Yang (9 shared papers)Guiying Shi (10 shared papers)Ying Wang (6 shared papers)Yuying Chen (10 shared papers)Xuxu Sun (7 shared papers)Yi Yang (4 shared papers)Yuzheng Zhao (4 shared papers)
- Journals
- Oncogene (3 papers)PLoS ONE (2 papers)The EMBO Journal (2 papers)Oncotarget (2 papers)Neurological Research (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jing Yi
77 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 787
- Molecular Biology 2.7k
- Toxicology 88
- Oncology 646
- Geriatrics and Gerontology 67
Countries citing papers authored by Jing Yi
This map shows the geographic impact of Jing Yi'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 Jing Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yi more than expected).
Fields of papers citing papers by Jing Yi
This network shows the impact of papers produced by Jing Yi. 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 Jing Yi. The network helps show where Jing Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yi, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 324 | |
| 2 | 2011 | 244 | |
| 3 | 2012 | 243 | |
| 4 | 2012 | 202 | |
| 5 | 2018 | 194 | |
| 6 | 2020 | 189 | |
| 7 | 2009 | 176 | |
| 8 | 2011 | 153 | |
| 9 | Detection of aberrant p16 methylation in the serum of colorectal cancer patients. | 2002 | 143 |
| 10 | 2016 | 121 | |
| 11 | 2021 | 120 | |
| 12 | 2012 | 117 | |
| 13 | 2010 | 106 | |
| 14 | 2009 | 103 | |
| 15 | 2021 | 91 | |
| 16 | 2013 | 91 | |
| 17 | 2010 | 90 | |
| 18 | 2008 | 73 | |
| 19 | 2017 | 70 | |
| 20 | 2016 | 68 |
About Jing Yi
Jing Yi is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Materials Chemistry, having authored 79 papers that have together received 4.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Catalytic Processes in Materials Science (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Catalysis and Oxidation Reactions (7 papers), Retinoids in leukemia and cellular processes (6 papers), Mitochondrial Function and Pathology (6 papers), interferon and immune responses (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cancer Research (787 citations), Molecular Biology (2.7k citations), Toxicology (88 citations), Oncology (646 citations) and Geriatrics and Gerontology (67 citations). Jing Yi has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jie Yang, Kai Yang, Guiying Shi, Ying Wang, Yuying Chen, Xuxu Sun, Yi Yang, Yuzheng Zhao, Edward T.H. Yeh and Jian Wang. Their work appears in journals such as Oncogene, PLoS ONE, The EMBO Journal, Oncotarget and Neurological 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.