Yu‐Feng Wei
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- Lung Cancer Treatments and Mutations 16
- Chronic Obstructive Pulmonary Disease (COPD) Research 12
- Respiratory Support and Mechanisms 6
- Lung Cancer Diagnosis and Treatment 6
- Oncology top 10%
- Colorectal Cancer Treatments and Studies 7
- Lung Cancer Research Studies 7
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- Asthma and respiratory diseases 8
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- Tuberculosis Research and Epidemiology 6
Yu‐Feng Wei
48 papers receiving 659 citations
Peers
Comparison fields: 5 of 84
- Pulmonary and Respiratory Medicine 414
- Oncology 289
- Physiology 108
- Infectious Diseases 74
- Issues, ethics and legal aspects 5
Countries citing papers authored by Yu‐Feng Wei
This map shows the geographic impact of Yu‐Feng Wei'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 Yu‐Feng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Feng Wei more than expected).
Fields of papers citing papers by Yu‐Feng Wei
This network shows the impact of papers produced by Yu‐Feng Wei. 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 Yu‐Feng Wei. The network helps show where Yu‐Feng Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Feng Wei, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | T790M detection rate after first-line combination therapy with bevacizumab and EGFR-TKIs in advanced NSCLC (TERRA Study) | 2023 | 3 |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | Abnormal ventral attention network homogeneity in patients with right temporal lobe epilepsy | 2021 | 7 |
| 8 | 2021 | 8 | |
| 9 | Impact of Chronic Obstructive Pulmonary Disease on the Mortality of Patients with Small Cell Lung Cancer | 2021 | 5 |
| 10 | 2021 | 25 | |
| 11 | 2020 | 0 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 34 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 45 | |
| 18 | 2015 | 11 | |
| 19 | 2011 | 2 | |
| 20 | 2009 | 25 |
About Yu‐Feng Wei
Yu‐Feng Wei is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Health Informatics, having authored 52 papers that have together received 669 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Asthma and respiratory diseases (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Lung Cancer Research Studies (7 papers), Respiratory Support and Mechanisms (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (414 citations), Oncology (289 citations) and Physiology (108 citations). Yu‐Feng Wei has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ping‐Hung Kuo, Ying‐Huang Tsai, Sung Sook Lee, Gee‐Chen Chang, Barbara Collins, James Chih‐Hsin Yang, Dong‐Wan Kim, Leora Horn, Gyeong‐Won Lee and Gianluca Laus. Their work appears in journals such as International Journal of COPD, Scientific Reports, Respiratory Research, Biomedicines and Expert Review of Anti-infective 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.