Shi Wei
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
- Oncology 47
- HER2/EGFR in Cancer Research 13
- Bone health and treatments 7
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- Sarcoma Diagnosis and Treatment 24
- Co-authors
- Gene P. Siegal (60 shared papers)Omar Hameed (13 shared papers)Zhiyong Ren (3 shared papers)Tiansheng Shen (8 shared papers)Margaret Brandwein‐Gensler (4 shared papers)Xiuxin Deng (1 shared paper)Li D (1 shared paper)Abha Soni (2 shared papers)
- Journals
- Human Pathology (10 papers)Clinical Breast Cancer (6 papers)Breast Cancer Research and Treatment (5 papers)American Journal of Clinical Pathology (5 papers)Applied immunohistochemistry & molecular morphology (5 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Shi Wei
135 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 590
- Oncology 690
- Pulmonary and Respiratory Medicine 561
- Oral Surgery 122
- Rheumatology 197
Countries citing papers authored by Shi Wei
This map shows the geographic impact of Shi 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 Shi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Wei more than expected).
Fields of papers citing papers by Shi Wei
This network shows the impact of papers produced by Shi 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 Shi Wei. The network helps show where Shi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 200 | |
| 2 | 2016 | 147 | |
| 3 | 2017 | 108 | |
| 4 | 2015 | 95 | |
| 5 | 2002 | 94 | |
| 6 | 2017 | 62 | |
| 7 | 2006 | 61 | |
| 8 | 2016 | 59 | |
| 9 | 2014 | 56 | |
| 10 | 2022 | 51 | |
| 11 | 2007 | 50 | |
| 12 | 2017 | 48 | |
| 13 | 2015 | 46 | |
| 14 | 2014 | 43 | |
| 15 | 2020 | 41 | |
| 16 | 2013 | 39 | |
| 17 | 2016 | 39 | |
| 18 | 2009 | 37 | |
| 19 | 2010 | 37 | |
| 20 | 2016 | 35 |
About Shi Wei
Shi Wei is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Rheumatology, having authored 148 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (24 papers), Breast Cancer Treatment Studies (20 papers), Bone Tumor Diagnosis and Treatments (18 papers), HER2/EGFR in Cancer Research (13 papers), Oral and Maxillofacial Pathology (11 papers), Soft tissue tumor case studies (7 papers), Bone health and treatments (7 papers) and Breast Lesions and Carcinomas (7 papers). The work is most often cited by research in Cancer Research (590 citations), Oncology (690 citations), Pulmonary and Respiratory Medicine (561 citations), Oral Surgery (122 citations) and Rheumatology (197 citations). Shi Wei has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Gene P. Siegal, Omar Hameed, Zhiyong Ren, Tiansheng Shen, Margaret Brandwein‐Gensler, Xiuxin Deng, Li D, Abha Soni, Diptiman Chanda and Charity J. Morgan. Their work appears in journals such as Human Pathology, Clinical Breast Cancer, Breast Cancer Research and Treatment, American Journal of Clinical Pathology and Applied immunohistochemistry & molecular morphology.
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.