Wei Wei
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Oncology top 2%
Papers in
- Oncology 45
- Colorectal Cancer Treatments and Studies 7
-
- Breast Cancer Treatment Studies 25
- Co-authors
- James L. Abbruzzese (2 shared papers)Renato Lenzi (1 shared paper)Martin N. Raber (1 shared paper)Gauri Rajani Varadhachary (1 shared paper)Kenneth R. Hess (1 shared paper)Sarah H. Taylor (1 shared paper)Vikas Kundra (10 shared papers)Brian Paul Hobbs (11 shared papers)
- Journals
- American Journal of Roentgenology (14 papers)Blood (9 papers)Annals of Surgical Oncology (9 papers)Journal of Computer Assisted Tomography (8 papers)PLoS ONE (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Wei Wei
222 papers receiving 6.0k citations
Wei Wei's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 831
- Oncology 1.5k
- Dermatology 406
- Pulmonary and Respiratory Medicine 1.4k
- Pathology and Forensic Medicine 680
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 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metastatic patterns in adenocarcinoma Hit paper breakdown → | 2006 | 666 |
| 2 | Systematic analysis of telomere length and somatic alterations in 31 cancer types Hit paper breakdown → | 2017 | 481 |
| 3 | 2019 | 247 | |
| 4 | 2012 | 238 | |
| 5 | 2014 | 227 | |
| 6 | 2010 | 147 | |
| 7 | 2007 | 130 | |
| 8 | 2010 | 124 | |
| 9 | 2012 | 117 | |
| 10 | 2016 | 114 | |
| 11 | 2014 | 94 | |
| 12 | 2021 | 92 | |
| 13 | 2015 | 90 | |
| 14 | 2016 | 85 | |
| 15 | 2016 | 75 | |
| 16 | 2018 | 72 | |
| 17 | 2015 | 65 | |
| 18 | 2008 | 62 | |
| 19 | 2015 | 55 | |
| 20 | 2015 | 54 |
About Wei Wei
Wei Wei is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 233 papers that have together received 6.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (25 papers), MRI in cancer diagnosis (23 papers), Breast Lesions and Carcinomas (14 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Lymphoma Diagnosis and Treatment (8 papers), Glioma Diagnosis and Treatment (8 papers), Prostate Cancer Treatment and Research (8 papers) and Colorectal Cancer Treatments and Studies (7 papers). The work is most often cited by research in Cancer Research (831 citations), Oncology (1.5k citations), Dermatology (406 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Pathology and Forensic Medicine (680 citations). Wei Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include James L. Abbruzzese, Renato Lenzi, Martin N. Raber, Gauri Rajani Varadhachary, Kenneth R. Hess, Sarah H. Taylor, Vikas Kundra, Brian Paul Hobbs, Cher Heng Tan and Madeleine Duvic. Their work appears in journals such as American Journal of Roentgenology, Blood, Annals of Surgical Oncology, Journal of Computer Assisted Tomography and PLoS ONE.
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.