Ting Bei
Impact in
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 3
- PARP inhibition in cancer therapy 2
- Pancreatic and Hepatic Oncology Research 2
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- Lung Cancer Treatments and Mutations 3
- Advanced Breast Cancer Therapies 2
- Co-authors
- Yuezong Bai (6 shared papers)Xiaochen Zhao (6 shared papers)Bei Zhang (3 shared papers)Yuchen Ma (1 shared paper)Bin Zhang (1 shared paper)Shiqing Chen (5 shared papers)Chen Chen (1 shared paper)Dongsheng Yue (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Frontiers in Immunology (3 papers)International Journal of Cancer (2 papers)Clinical Cancer Research (1 paper)Journal of Translational Medicine (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Ting Bei
13 papers receiving 154 citations
Peers
Comparison fields: 5 of 27
- Oncology 101
- Cancer Research 53
- Pulmonary and Respiratory Medicine 97
- Immunology 19
- Pathology and Forensic Medicine 14
Countries citing papers authored by Ting Bei
This map shows the geographic impact of Ting Bei'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 Ting Bei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Bei more than expected).
Fields of papers citing papers by Ting Bei
This network shows the impact of papers produced by Ting Bei. 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 Ting Bei. The network helps show where Ting Bei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Bei, 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 | 2022 | 63 | |
| 2 | 2021 | 31 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 0 |
About Ting Bei
Ting Bei is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Cancer Research, having authored 14 papers that have together received 155 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), PARP inhibition in cancer therapy (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), DNA Repair Mechanisms (2 papers), Advanced Breast Cancer Therapies (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Oncology (101 citations), Cancer Research (53 citations), Pulmonary and Respiratory Medicine (97 citations), Immunology (19 citations) and Pathology and Forensic Medicine (14 citations). Ting Bei has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Yuezong Bai, Xiaochen Zhao, Bei Zhang, Yuchen Ma, Bin Zhang, Shiqing Chen, Chen Chen, Dongsheng Yue, Longgang Cui and Changli Wang. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Immunology, International Journal of Cancer, Clinical Cancer Research and Journal of Translational 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.