Weiwei Tan
Impact in
- Oncology top 2%
- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Brain Metastases and Treatment
Papers in
- Oncology 35
- Colorectal Cancer Treatments and Studies 16
- HER2/EGFR in Cancer Research 9
- Lung Cancer Research Studies 7
- Pancreatic and Hepatic Oncology Research 6
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- Lung Cancer Treatments and Mutations 32
- Advanced Breast Cancer Therapies 5
- Co-authors
- Keith D. WilnerZhongzhou ShenDaniel B. CostaWee-Lee YeoSusumu KobayashiShuchi S. PandyaBenjamin SolomonD. Ross Camidge
- Journals
- Journal of Clinical Oncology (5 papers)Clinical Cancer Research (3 papers)Journal of Thoracic Oncology (3 papers)Annals of Oncology (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Weiwei Tan
56 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 1.2k
- Cancer Research 232
- Hepatology 115
- Molecular Biology 809
Countries citing papers authored by Weiwei Tan
This map shows the geographic impact of Weiwei Tan'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 Weiwei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Tan more than expected).
Fields of papers citing papers by Weiwei Tan
This network shows the impact of papers produced by Weiwei Tan. 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 Weiwei Tan. The network helps show where Weiwei Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2016 | 20 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 40 | |
| 19 | 2016 | 2 | |
| 20 | 2014 | 36 |
About Weiwei Tan
Weiwei Tan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Toxicology, Cancer Research and Pharmacology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (32 papers), Colorectal Cancer Treatments and Studies (16 papers), HER2/EGFR in Cancer Research (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Lung Cancer Research Studies (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Oncology (1.0k citations), Pulmonary and Respiratory Medicine (1.2k citations), Cancer Research (232 citations), Hepatology (115 citations) and Molecular Biology (809 citations). Weiwei Tan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Keith D. Wilner, Zhongzhou Shen, Daniel B. Costa, Wee-Lee Yeo, Susumu Kobayashi, Shuchi S. Pandya, Benjamin Solomon, D. Ross Camidge, Sai‐Hong Ignatius Ou and Ravi Salgia. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Journal of Thoracic Oncology, Annals of Oncology and Cancer Research.
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.