Ying Feng
- Oncology top 5%
- PARP inhibition in cancer therapy 3
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer 7
- Cancer-related gene regulation 5
- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
- Reproductive Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 6
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- Gastric Cancer Management and Outcomes 4
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- Virus-based gene therapy research 2
- Co-authors
- Yuqiao ShenEric R. FearonChristopher J. LordJulia BoshuizenRichard ElliottAlan AshworthIlirjana BajramiBing Wang
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying Feng
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Oncology 797
- Molecular Biology 951
- Cancer Research 130
- Reproductive Medicine 62
- Pathology and Forensic Medicine 131
Countries citing papers authored by Ying Feng
This map shows the geographic impact of Ying Feng'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 Ying Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Feng more than expected).
Fields of papers citing papers by Ying Feng
This network shows the impact of papers produced by Ying Feng. 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 Ying Feng. The network helps show where Ying Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Feng, 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 | 2024 | 9 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 1 | |
| 4 | MDM2-P53 Signaling Pathway-Mediated Upregulation of CDC20 Promotes Progression of Human Diffuse Large B-Cell Lymphoma | 2020 | 1 |
| 5 | 2019 | 3 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 74 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 65 | |
| 10 | 2015 | 17 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 378 | |
| 13 | 2013 | 71 | |
| 14 | 2013 | 17 | |
| 15 | 2012 | 6 | |
| 16 | 2011 | 64 | |
| 17 | 2009 | 89 | |
| 18 | 2009 | 43 | |
| 19 | 2004 | 6 | |
| 20 | 2002 | 125 |
About Ying Feng
Ying Feng is a scholar working on Applied Microbiology and Biotechnology, Pathology and Forensic Medicine and Gastroenterology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Genetic factors in colorectal cancer (6 papers), Cancer-related gene regulation (5 papers), Gastric Cancer Management and Outcomes (4 papers), Ubiquitin and proteasome pathways (3 papers), PARP inhibition in cancer therapy (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (797 citations), Molecular Biology (951 citations) and Cancer Research (130 citations). Ying Feng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuqiao Shen, Eric R. Fearon, Christopher J. Lord, Julia Boshuizen, Richard Elliott, Alan Ashworth, Ilirjana Bajrami, Bing Wang, Farah Rehman and Leonard Post. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.