Bingxu Tan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Jianbo Wang (27 shared papers)Yufeng Cheng (27 shared papers)Yibin Jia (23 shared papers)Qingxu Song (18 shared papers)Guangyu Zhang (3 shared papers)Nana Wang (8 shared papers)Na Shao (4 shared papers)Nana Wang (6 shared papers)
- Journals
- Annals of Surgical Oncology (3 papers)Tumor Biology (2 papers)Journal of Clinical Oncology (2 papers)Journal of Translational Medicine (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Bingxu Tan
35 papers receiving 980 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 298
- Oncology 348
- Pulmonary and Respiratory Medicine 254
- Otorhinolaryngology 32
- Molecular Biology 418
Countries citing papers authored by Bingxu Tan
This map shows the geographic impact of Bingxu 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 Bingxu Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxu Tan more than expected).
Fields of papers citing papers by Bingxu Tan
This network shows the impact of papers produced by Bingxu 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 Bingxu Tan. The network helps show where Bingxu Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxu 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2012 | 127 | |
| 3 | 2015 | 114 | |
| 4 | 2012 | 73 | |
| 5 | 2020 | 58 | |
| 6 | 2015 | 53 | |
| 7 | 2015 | 52 | |
| 8 | 2015 | 33 | |
| 9 | Cancer-associated fibroblasts are associated with poor prognosis in esophageal squamous cell carcinoma after surgery. | 2015 | 29 |
| 10 | 2014 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2013 | 26 | |
| 13 | 2015 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2014 | 11 |
About Bingxu Tan
Bingxu Tan is a scholar working on Surgery, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 36 papers that have together received 991 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (20 papers), Pancreatic and Hepatic Oncology Research (5 papers), Gastric Cancer Management and Outcomes (5 papers), Lung Cancer Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Esophageal and GI Pathology (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (298 citations), Oncology (348 citations), Pulmonary and Respiratory Medicine (254 citations), Otorhinolaryngology (32 citations) and Molecular Biology (418 citations). Bingxu Tan has collaborated with scholars based in China and United States. Frequent co-authors include Jianbo Wang, Yufeng Cheng, Yibin Jia, Qingxu Song, Guangyu Zhang, Nana Wang, Na Shao, Nana Wang, Shanghui Guan and Xiaomei Zhang. Their work appears in journals such as Annals of Surgical Oncology, Tumor Biology, Journal of Clinical Oncology, Journal of Translational Medicine and Oncotarget.
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.