Feng Chi
Impact in
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- Cancer-related molecular mechanisms research
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- Inflammatory Biomarkers in Disease Prognosis
- Cancer Risks and Factors
Papers in
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- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 2
- Oncology 12
- Cancer Cells and Metastasis 3
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Rui Xing (11 shared papers)Yue‐Can Zeng (6 shared papers)Rong Wu (6 shared papers)Rong Wu (4 shared papers)Yang Liu (1 shared paper)Xike Zhu (3 shared papers)Min Jiang (1 shared paper)Zhibin Guo (2 shared papers)
- Journals
- Tumor Biology (2 papers)Frontiers in Oncology (2 papers)Applied Sciences (1 paper)PLoS ONE (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Chi
44 papers receiving 568 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 93
- Oncology 154
- Otorhinolaryngology 23
- Pathology and Forensic Medicine 55
- Geriatrics and Gerontology 10
Countries citing papers authored by Feng Chi
This map shows the geographic impact of Feng Chi'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 Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chi more than expected).
Fields of papers citing papers by Feng Chi
This network shows the impact of papers produced by Feng Chi. 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 Chi. The network helps show where Feng Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Chi, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2012 | 55 | |
| 3 | Sestrin2 expression is a favorable prognostic factor in patients with non-small cell lung cancer. | 2016 | 35 |
| 4 | 2016 | 31 | |
| 5 | 2015 | 30 | |
| 6 | 2015 | 26 | |
| 7 | 2022 | 20 | |
| 8 | 2016 | 20 | |
| 9 | 2013 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2015 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2013 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2022 | 11 |
About Feng Chi
Feng Chi is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 49 papers that have together received 581 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Breast Cancer Treatment Studies (3 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), Gastric Cancer Management and Outcomes (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Genomics and Chromatin Dynamics (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (93 citations), Oncology (154 citations), Otorhinolaryngology (23 citations), Pathology and Forensic Medicine (55 citations) and Geriatrics and Gerontology (10 citations). Feng Chi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rui Xing, Yue‐Can Zeng, Rong Wu, Rong Wu, Yang Liu, Xike Zhu, Yang Liu, Min Jiang, Zhibin Guo and Lina Wu. Their work appears in journals such as Tumor Biology, Frontiers in Oncology, Applied Sciences, PLoS ONE and BMJ Open.
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.