Bei Wang
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 20
- HER2/EGFR in Cancer Research 17
- Peptidase Inhibition and Analysis 4
- CAR-T cell therapy research 3
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Sandhya Girish (14 shared papers)Patricia LoRusso (3 shared papers)Yu‐Waye Chu (3 shared papers)Ola M. Saad (3 shared papers)Chunze Li (10 shared papers)Amita Joshi (3 shared papers)Cinthia V. Pastuskovas (1 shared paper)Surinder Kaur (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (5 papers)Journal of Clinical Oncology (3 papers)Clinical and Translational Science (2 papers)The Journal of Clinical Pharmacology (2 papers)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bei Wang
26 papers receiving 347 citations
Peers
Comparison fields: 5 of 60
- Oncology 249
- Radiology, Nuclear Medicine and Imaging 159
- Statistics and Probability 20
- Immunology 43
- Genetics 18
Countries citing papers authored by Bei Wang
This map shows the geographic impact of Bei Wang'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 Bei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wang more than expected).
Fields of papers citing papers by Bei Wang
This network shows the impact of papers produced by Bei Wang. 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 Bei Wang. The network helps show where Bei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Wang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 93 | |
| 2 | 2011 | 57 | |
| 3 | 2013 | 32 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2019 | 3 |
About Bei Wang
Bei Wang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Ecology and Surgery, having authored 35 papers that have together received 363 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (17 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Peptidase Inhibition and Analysis (4 papers), CAR-T cell therapy research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Coral and Marine Ecosystems Studies (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Oncology (249 citations), Radiology, Nuclear Medicine and Imaging (159 citations), Statistics and Probability (20 citations), Immunology (43 citations) and Genetics (18 citations). Bei Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Sandhya Girish, Patricia LoRusso, Yu‐Waye Chu, Ola M. Saad, Chunze Li, Amita Joshi, Cinthia V. Pastuskovas, Surinder Kaur, Daniela Bumbaca and Joo‐Hee Yi. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Clinical and Translational Science, The Journal of Clinical Pharmacology and Medicine.
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.