Chih‐Teng Yu
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Complementary and alternative medicine top 5%
- Experimental and Cognitive Psychology top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Meiling ChenChien‐Hui YangYue‐Cune ChangWoung‐Ru TangSien‐Hung YangHorng‐Chyuan LinSuh‐Hwa MaaMao-Feng Sun
- Topics
- Lung Cancer Treatments and Mutations (9 papers)Lung Cancer Diagnosis and Treatment (6 papers)Colorectal Cancer Treatments and Studies (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chih‐Teng Yu
30 papers receiving 522 citations
Peers
Comparison fields: 5 of 84
- Oncology 256
- Pulmonary and Respiratory Medicine 195
- Complementary and alternative medicine 82
- Experimental and Cognitive Psychology 74
- Pediatrics, Perinatology and Child Health 63
Countries citing papers authored by Chih‐Teng Yu
This map shows the geographic impact of Chih‐Teng Yu'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 Chih‐Teng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Teng Yu more than expected).
Fields of papers citing papers by Chih‐Teng Yu
This network shows the impact of papers produced by Chih‐Teng Yu. 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 Chih‐Teng Yu. The network helps show where Chih‐Teng Yu may publish in the future.
Co-authorship network of co-authors of Chih‐Teng Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Teng Yu. A scholar is included among the top collaborators of Chih‐Teng Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chih‐Teng Yu. Chih‐Teng Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | Continuous Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor Treatment May Not Hinder the Survival of Patients with Primary Lung Adenocarcinoma despite Indolent New Lesions | 1 |
| 8 | 13 | |
| 9 | 40 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 18 | |
| 14 | 0 | |
| 15 | 114 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 60 | |
| 20 | 9 |
About Chih‐Teng Yu
Chih‐Teng Yu is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine and Oncology, having authored 32 papers that have together received 536 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Complementary and alternative medicine (82 citations), Oncology (256 citations) and Pulmonary and Respiratory Medicine (195 citations). Chih‐Teng Yu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Meiling Chen, Chien‐Hui Yang, Yue‐Cune Chang, Woung‐Ru Tang, Sien‐Hung Yang, Horng‐Chyuan Lin, Suh‐Hwa Maa, Mao-Feng Sun, Kuang‐Hung Hsu and Chunhua Wang. Their work appears in journals such as Cancer Research, The Lancet Oncology and British Journal of Pharmacology.
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.