Shi Wei
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Epigenetics and DNA Methylation 21
- Oncology 71
- HER2/EGFR in Cancer Research 20
- Cancer Cells and Metastasis 11
- Co-authors
- Gene P. Siegal (51 shared papers)Thomas Haaf (2 shared papers)Omar Hameed (10 shared papers)Valeri Zakhartchenko (3 shared papers)Eckhard Wolf (3 shared papers)Reinald Fundele (13 shared papers)Zhiyong Ren (3 shared papers)Prim B. Singh (3 shared papers)
- Journals
- Human Pathology (10 papers)Clinical Breast Cancer (6 papers)World Neurosurgery (6 papers)Cancer Research (5 papers)Applied immunohistochemistry & molecular morphology (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shi Wei
251 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 976
- Oncology 1.2k
- Molecular Biology 2.5k
- Immunology 594
- Pulmonary and Respiratory Medicine 876
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 274 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 231 | |
| 2 | 2004 | 206 | |
| 3 | 2002 | 194 | |
| 4 | 2015 | 192 | |
| 5 | 2020 | 178 | |
| 6 | 2020 | 153 | |
| 7 | 2016 | 142 | |
| 8 | 2003 | 112 | |
| 9 | 2004 | 111 | |
| 10 | 2017 | 108 | |
| 11 | Anticardiolipin antibodies block the inhibition by beta 2-glycoprotein I of the factor Xa generating activity of platelets. | 1993 | 94 |
| 12 | 2015 | 92 | |
| 13 | 2008 | 85 | |
| 14 | 2013 | 85 | |
| 15 | 2002 | 83 | |
| 16 | 2023 | 77 | |
| 17 | 2003 | 73 | |
| 18 | 2022 | 69 | |
| 19 | 2011 | 67 | |
| 20 | 2016 | 63 |
About Shi Wei
Shi Wei is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 274 papers that have together received 5.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (25 papers), Epigenetics and DNA Methylation (21 papers), HER2/EGFR in Cancer Research (20 papers), Sarcoma Diagnosis and Treatment (17 papers), Bone Tumor Diagnosis and Treatments (11 papers), Cancer Cells and Metastasis (11 papers), Metastasis and carcinoma case studies (9 papers) and Glioma Diagnosis and Treatment (9 papers). The work is most often cited by research in Cancer Research (976 citations), Oncology (1.2k citations), Molecular Biology (2.5k citations), Immunology (594 citations) and Pulmonary and Respiratory Medicine (876 citations). Shi Wei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gene P. Siegal, Thomas Haaf, Omar Hameed, Valeri Zakhartchenko, Eckhard Wolf, Reinald Fundele, Zhiyong Ren, Prim B. Singh, Tiansheng Shen and David M. Gilbert. Their work appears in journals such as Human Pathology, Clinical Breast Cancer, World Neurosurgery, Cancer Research 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.