Fei Xing
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 10
- Oncology 40
- Lung Cancer Research Studies 12
- Co-authors
- Kounosuke Watabe (56 shared papers)Kerui Wu (23 shared papers)Puspa R. Pandey (15 shared papers)Sambad Sharma (23 shared papers)Koji Fukuda (13 shared papers)Misako Watabe (14 shared papers)Shigeru Hirota (11 shared papers)Sudha K. Pai (13 shared papers)
- Journals
- Cancer Research (18 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)Cancers (4 papers)Oncogene (4 papers)Frontiers in Oncology (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fei Xing
158 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cancer Research 1.4k
- Oncology 1.5k
- Genetics 390
- Molecular Biology 2.2k
- Pulmonary and Respiratory Medicine 906
Countries citing papers authored by Fei Xing
This map shows the geographic impact of Fei 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 Fei Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Xing more than expected).
Fields of papers citing papers by Fei Xing
This network shows the impact of papers produced by Fei 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 Fei Xing. The network helps show where Fei Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer associated fibroblasts (CAFs) in tumor microenvironment Hit paper breakdown → | 2009 | 540 |
| 2 | 2011 | 320 | |
| 3 | 2018 | 259 | |
| 4 | 2013 | 234 | |
| 5 | 2012 | 173 | |
| 6 | 2011 | 160 | |
| 7 | 2013 | 146 | |
| 8 | 2017 | 133 | |
| 9 | 2015 | 106 | |
| 10 | 2021 | 104 | |
| 11 | 2006 | 103 | |
| 12 | 2016 | 102 | |
| 13 | 2016 | 87 | |
| 14 | 2008 | 85 | |
| 15 | 2016 | 82 | |
| 16 | 2012 | 79 | |
| 17 | 2020 | 77 | |
| 18 | 2021 | 77 | |
| 19 | 2012 | 77 | |
| 20 | 2011 | 76 |
About Fei Xing
Fei Xing is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Genetics and Electrochemistry, having authored 170 papers that have together received 4.8k indexed citations. Recurring topics across this work include Brain Metastases and Treatment (27 papers), Lung Cancer Research Studies (12 papers), Microbial Fuel Cells and Bioremediation (11 papers), RNA modifications and cancer (10 papers), Glioma Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (10 papers), Lung Cancer Treatments and Mutations (10 papers) and Electrochemical sensors and biosensors (9 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.5k citations), Genetics (390 citations), Molecular Biology (2.2k citations) and Pulmonary and Respiratory Medicine (906 citations). Fei Xing has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kounosuke Watabe, Kerui Wu, Puspa R. Pandey, Sambad Sharma, Koji Fukuda, Misako Watabe, Shigeru Hirota, Sudha K. Pai, Hiroshi Okuda and Yin‐Yuan Mo. Their work appears in journals such as Cancer Research, International Journal of Radiation Oncology*Biology*Physics, Cancers, Oncogene and Frontiers in Oncology.
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.