Feng Xing
Impact in
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- Cancer-related molecular mechanisms research
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- Cytokine Signaling Pathways and Interactions
- Cutaneous Melanoma Detection and Management
- HER2/EGFR in Cancer Research
- Colorectal Cancer Treatments and Studies
Papers in
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- Circular RNAs in diseases 4
- Melanoma and MAPK Pathways 2
- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Co-authors
- David B. Solit (2 shared papers)Christine A. Pratilas (2 shared papers)Eric W. Joseph (1 shared paper)Poulikos I. Poulikakos (1 shared paper)James Tsai (1 shared paper)Madhavi Tadi (1 shared paper)Agnès Viale (1 shared paper)Barry S. Taylor (1 shared paper)
- Journals
- Oncology Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Cardiovascular Research (1 paper)Bioinformatics (1 paper)Cancer Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feng Xing
20 papers receiving 635 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 124
- Oncology 199
- Molecular Biology 492
- Computational Theory and Mathematics 74
- Pathology and Forensic Medicine 83
Countries citing papers authored by Feng Xing
This map shows the geographic impact of Feng Xing'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 Feng Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Xing more than expected).
Fields of papers citing papers by Feng Xing
This network shows the impact of papers produced by Feng Xing. 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 Feng Xing. The network helps show where Feng Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Xing, 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 | 2010 | 349 | |
| 2 | 2010 | 50 | |
| 3 | 2019 | 31 | |
| 4 | 2019 | 25 | |
| 5 | 2023 | 24 | |
| 6 | 2017 | 23 | |
| 7 | CBX8, a novel DNA repair protein, promotes tumorigenesis in human esophageal carcinoma. | 2014 | 22 |
| 8 | 2018 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2015 | 17 | |
| 11 | 2020 | 14 | |
| 12 | A novel sphingosine kinase 1 inhibitor (SKI-5C) induces cell death of Wilms' tumor cells in vitro and in vivo. | 2016 | 11 |
| 13 | 2022 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2007 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2020 | 1 |
About Feng Xing
Feng Xing is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 644 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Genetic and phenotypic traits in livestock (2 papers), Melanoma and MAPK Pathways (2 papers), Neonatal and fetal brain pathology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (124 citations), Oncology (199 citations), Molecular Biology (492 citations), Computational Theory and Mathematics (74 citations) and Pathology and Forensic Medicine (83 citations). Feng Xing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David B. Solit, Christine A. Pratilas, Eric W. Joseph, Poulikos I. Poulikakos, James Tsai, Madhavi Tadi, Agnès Viale, Barry S. Taylor, Gideon Bollag and Weiqing Wang. Their work appears in journals such as Oncology Reports, Frontiers in Cell and Developmental Biology, Cardiovascular Research, Bioinformatics and Cancer Gene 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.