Feng Chi
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
-
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
Papers in
- Oncology 23
- Inflammatory Biomarkers in Disease Prognosis 4
-
- RNA modifications and cancer 4
- Co-authors
- Rui Xing (14 shared papers)Yue‐Can Zeng (9 shared papers)Rong Wu (9 shared papers)Rong Wu (4 shared papers)Yang Liu (1 shared paper)Xike Zhu (3 shared papers)Xue Ming (6 shared papers)Min Jiang (1 shared paper)
- Journals
- Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2 papers)Tumor Biology (2 papers)Frontiers in Oncology (2 papers)Journal of X-Ray Science and Technology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Feng Chi
53 papers receiving 638 citations
Peers
Comparison fields: 5 of 94
- Otorhinolaryngology 60
- Cancer Research 146
- Oncology 223
- Radiation 52
- Pulmonary and Respiratory Medicine 127
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 75 | |
| 2 | 2012 | 54 | |
| 3 | Sestrin2 expression is a favorable prognostic factor in patients with non-small cell lung cancer. | 2016 | 33 |
| 4 | 2016 | 31 | |
| 5 | 2015 | 30 | |
| 6 | 2015 | 24 | |
| 7 | 2016 | 20 | |
| 8 | 2013 | 20 | |
| 9 | 2015 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 15 | |
| 15 | 2012 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2020 | 12 |
About Feng Chi
Feng Chi is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Radiation, having authored 63 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (10 papers), Breast Cancer Treatment Studies (6 papers), Head and Neck Cancer Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Brain Metastases and Treatment (4 papers), RNA modifications and cancer (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Otorhinolaryngology (60 citations), Cancer Research (146 citations), Oncology (223 citations), Radiation (52 citations) and Pulmonary and Respiratory Medicine (127 citations). Feng Chi has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Rui Xing, Yue‐Can Zeng, Rong Wu, Rong Wu, Yang Liu, Xike Zhu, Yang Liu, Xue Ming, Min Jiang and Lina Wu. Their work appears in journals such as Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Tumor Biology, Frontiers in Oncology, Journal of X-Ray Science and Technology and Scientific Reports.
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.