Bei Wang
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 20
- HER2/EGFR in Cancer Research 17
- Peptidase Inhibition and Analysis 9
- CAR-T cell therapy research 2
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- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Sandhya Girish (14 shared papers)Yu‐Waye Chu (3 shared papers)Patricia LoRusso (3 shared papers)Ola M. Saad (3 shared papers)Chunze Li (9 shared papers)Amita Joshi (3 shared papers)Joo‐Hee Yi (2 shared papers)Qin Yue (1 shared paper)
- Journals
- Cancer Chemotherapy and Pharmacology (5 papers)Journal of Clinical Oncology (3 papers)The Journal of Clinical Pharmacology (2 papers)Medicine (1 paper)Current Drug Metabolism (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Bei Wang
26 papers receiving 332 citations
Peers
Comparison fields: 5 of 64
- Oncology 261
- Radiology, Nuclear Medicine and Imaging 219
- Statistics and Probability 21
- Immunology and Allergy 14
- Immunology 47
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2011 | 56 | |
| 3 | 2013 | 32 | |
| 4 | 2018 | 28 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2020 | 3 |
About Bei Wang
Bei Wang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Ecology and Pathology and Forensic Medicine, having authored 32 papers that have together received 349 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (17 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Peptidase Inhibition and Analysis (9 papers), Breast Cancer Treatment Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cell Adhesion Molecules Research (2 papers), Wildlife Ecology and Conservation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (261 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Statistics and Probability (21 citations), Immunology and Allergy (14 citations) and Immunology (47 citations). Bei Wang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Sandhya Girish, Yu‐Waye Chu, Patricia LoRusso, Ola M. Saad, Chunze Li, Amita Joshi, Joo‐Hee Yi, Qin Yue, Ben‐Quan Shen and Jay Tibbitts. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, The Journal of Clinical Pharmacology, Medicine and Current Drug Metabolism.
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.