Mei-Ching Liu
- Oncology top 1%
- Cancer Research top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Co-authors
- Tadeusz PieńkowskiLing‐Ming TsengLuca GianniPinuccia ValagussaYoung‐Hyuck ImGiulia BianchiPaolo MorandiJuan de la Haba-Rodríguez
- Topics
- HER2/EGFR in Cancer Research (4 papers)Breast Cancer Treatment Studies (3 papers)Colorectal Cancer Screening and Detection (3 papers)
In The Last Decade
Mei-Ching Liu
9 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 2.5k
- Cancer Research 1.3k
- Radiology, Nuclear Medicine and Imaging 873
- Pulmonary and Respiratory Medicine 519
- Surgery 370
Countries citing papers authored by Mei-Ching Liu
This map shows the geographic impact of Mei-Ching Liu'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 Mei-Ching Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ching Liu more than expected).
Fields of papers citing papers by Mei-Ching Liu
This network shows the impact of papers produced by Mei-Ching Liu. 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 Mei-Ching Liu. The network helps show where Mei-Ching Liu may publish in the future.
Co-authorship network of co-authors of Mei-Ching Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Ching Liu. A scholar is included among the top collaborators of Mei-Ching Liu 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 Mei-Ching Liu. Mei-Ching Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 5-year analysis of neoadjuvant pertuzumab and trastuzumab in patients with locally advanced, inflammatory, or early-stage HER2-positive breast cancer (NeoSphere): a multicentre, open-label, phase 2 randomised trialbreakdown → | 555 |
| 3 | 19 | |
| 4 | Efficacy and safety of neoadjuvant pertuzumab and trastuzumab in women with locally advanced, inflammatory, or early HER2-positive breast cancer (NeoSphere): a randomised multicentre, open-label, phase 2 trialbreakdown → | 1535 |
| 5 | 141 | |
| 6 | 465 | |
| 7 | 136 | |
| 8 | 43 | |
| 9 | 55 |
About Mei-Ching Liu
Mei-Ching Liu is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 3.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Oncology (2.5k citations), Cancer Research (1.3k citations) and Radiology, Nuclear Medicine and Imaging (873 citations). Mei-Ching Liu has collaborated with scholars based in Taiwan, Spain and Canada. Frequent co-authors include Tadeusz Pieńkowski, Ling‐Ming Tseng, Luca Gianni, Pinuccia Valagussa, Young‐Hyuck Im, Giulia Bianchi, Paolo Morandi, Juan de la Haba-Rodríguez, Brigitte Poirier and Elżbieta Starosławska. Their work appears in journals such as The Lancet Oncology, International Journal of Radiation Oncology*Biology*Physics and Annals of Surgical 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.