Chien‐Feng Li
Impact in
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 1%
- Cancer-related Molecular Pathways
Papers in
- Oncology 117
- Cancer-related Molecular Pathways 31
- Peptidase Inhibition and Analysis 24
- Co-authors
- Hsuan-Ying HuangHsuan‐Ying HuangChia‐Hsin ChanChung‐Hsi HsingWen‐Jeng WuHui‐Kuan LinTzu‐Ju ChenMien‐Chie Hung
- Journals
- Tumor Biology (16 papers)Oncotarget (15 papers)Journal of Cancer (13 papers)Clinical Cancer Research (12 papers)Journal of Clinical Pathology (11 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chien‐Feng Li
314 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 1.9k
- Oncology 2.2k
- Molecular Biology 4.4k
- Pulmonary and Respiratory Medicine 1.7k
- Rheumatology 748
Countries citing papers authored by Chien‐Feng Li
This map shows the geographic impact of Chien‐Feng Li'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 Chien‐Feng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Feng Li more than expected).
Fields of papers citing papers by Chien‐Feng Li
This network shows the impact of papers produced by Chien‐Feng Li. 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 Chien‐Feng Li. The network helps show where Chien‐Feng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Feng Li, 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 | 11 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 26 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 27 | |
| 9 | 2016 | 51 | |
| 10 | 2016 | 54 | |
| 11 | 2015 | 17 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 118 | |
| 15 | 2012 | 52 | |
| 16 | 2011 | 55 | |
| 17 | 2010 | 40 | |
| 18 | 2009 | 41 | |
| 19 | 2009 | 47 | |
| 20 | 2008 | 33 |
About Chien‐Feng Li
Chien‐Feng Li is a scholar working on Oncology, Gastroenterology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 322 papers that have together received 8.2k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (50 papers), Sarcoma Diagnosis and Treatment (40 papers), Epigenetics and DNA Methylation (36 papers), Cancer-related Molecular Pathways (31 papers), Genetic factors in colorectal cancer (25 papers), Peptidase Inhibition and Analysis (24 papers), Ferroptosis and cancer prognosis (22 papers) and Cancer, Hypoxia, and Metabolism (22 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (2.2k citations), Molecular Biology (4.4k citations), Pulmonary and Respiratory Medicine (1.7k citations) and Rheumatology (748 citations). Chien‐Feng Li has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsuan-Ying Huang, Hsuan‐Ying Huang, Chia‐Hsin Chan, Chung‐Hsi Hsing, Wen‐Jeng Wu, Hui‐Kuan Lin, Tzu‐Ju Chen, Mien‐Chie Hung, Guoxiang Jin and Jui Lan. Their work appears in journals such as Tumor Biology, Oncotarget, Journal of Cancer, Clinical Cancer Research and Journal of Clinical Pathology.
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.