Wei Wei
Impact in
- Oncology top 1%
- Cancer Research top 2%
- Breast Cancer Treatment Studies
Papers in
- Oncology 86
- Cancer Immunotherapy and Biomarkers 21
- Co-authors
- James L. Abbruzzese (2 shared papers)Gauri R. Varadhachary (1 shared paper)Kenneth R. Hess (1 shared paper)Renato Lenzi (1 shared paper)Sarah Taylor (1 shared paper)Martin N. Raber (1 shared paper)Vikas Kundra (10 shared papers)Brian P. Hobbs (13 shared papers)
- Journals
- Journal of Clinical Oncology (26 papers)American Journal of Roentgenology (14 papers)Blood (9 papers)Annals of Surgical Oncology (8 papers)Journal of Computer Assisted Tomography (8 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wei Wei
230 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Oncology 1.8k
- Cancer Research 900
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 1.5k
- Pathology and Forensic Medicine 801
Countries citing papers authored by Wei Wei
This map shows the geographic impact of Wei 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 Wei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wei more than expected).
Fields of papers citing papers by Wei Wei
This network shows the impact of papers produced by Wei 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 Wei Wei. The network helps show where Wei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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
Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metastatic patterns in adenocarcinoma Hit paper breakdown → | 2006 | 636 |
| 2 | Systematic analysis of telomere length and somatic alterations in 31 cancer types Hit paper breakdown → | 2017 | 416 |
| 3 | 2019 | 211 | |
| 4 | 2012 | 203 | |
| 5 | 2014 | 170 | |
| 6 | 2007 | 130 | |
| 7 | 2010 | 124 | |
| 8 | 2012 | 114 | |
| 9 | 2010 | 107 | |
| 10 | 2015 | 90 | |
| 11 | 2021 | 84 | |
| 12 | 2014 | 84 | |
| 13 | 2016 | 79 | |
| 14 | 2018 | 67 | |
| 15 | 2008 | 59 | |
| 16 | 2015 | 53 | |
| 17 | 2015 | 52 | |
| 18 | 2011 | 49 | |
| 19 | 2015 | 46 | |
| 20 | 2011 | 44 |
About Wei Wei
Wei Wei is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery, having authored 243 papers that have together received 5.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (40 papers), MRI in cancer diagnosis (35 papers), Breast Lesions and Carcinomas (26 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (23 papers), Cancer Immunotherapy and Biomarkers (21 papers), Glioma Diagnosis and Treatment (14 papers) and Advanced MRI Techniques and Applications (13 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (900 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Pulmonary and Respiratory Medicine (1.5k citations) and Pathology and Forensic Medicine (801 citations). Wei Wei has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James L. Abbruzzese, Gauri R. Varadhachary, Kenneth R. Hess, Renato Lenzi, Sarah Taylor, Martin N. Raber, Vikas Kundra, Brian P. Hobbs, Cher Heng Tan and Chaan S. Ng. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Roentgenology, Blood, Annals of Surgical Oncology and Journal of Computer Assisted Tomography.
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.