Bing Tu
Impact in
- Toxicology top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Kruppel-like factors research 5
- Surgery 15
- Organ Transplantation Techniques and Outcomes 5
- Co-authors
- Tingting Tang (12 shared papers)Qiming Fan (7 shared papers)Lin Du (6 shared papers)Cunyi Fan (15 shared papers)Ze Tang (1 shared paper)Shen Liu (4 shared papers)Jianping Gong (9 shared papers)Zhaoxiang Peng (2 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (3 papers)Cell Death and Disease (3 papers)The American Surgeon (2 papers)Cancer Letters (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Bing Tu
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Toxicology 68
- Cancer Research 232
- Oncology 357
- Rheumatology 162
- Orthopedics and Sports Medicine 86
Countries citing papers authored by Bing Tu
This map shows the geographic impact of Bing Tu'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 Bing Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Tu more than expected).
Fields of papers citing papers by Bing Tu
This network shows the impact of papers produced by Bing Tu. 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 Bing Tu. The network helps show where Bing Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Tu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 166 | |
| 2 | 2017 | 102 | |
| 3 | 2010 | 91 | |
| 4 | 2017 | 81 | |
| 5 | 2016 | 77 | |
| 6 | 2013 | 72 | |
| 7 | 2013 | 60 | |
| 8 | 2018 | 59 | |
| 9 | 2019 | 54 | |
| 10 | 2013 | 50 | |
| 11 | 2015 | 36 | |
| 12 | 2016 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2023 | 28 | |
| 16 | 2012 | 26 | |
| 17 | 2019 | 24 | |
| 18 | 2012 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2004 | 15 |
About Bing Tu
Bing Tu is a scholar working on Molecular Biology, Surgery, Rheumatology, Oncology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (13 papers), Cancer Cells and Metastasis (5 papers), Kruppel-like factors research (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Genetic Syndromes and Imprinting (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (4 papers) and Gallbladder and Bile Duct Disorders (3 papers). The work is most often cited by research in Toxicology (68 citations), Cancer Research (232 citations), Oncology (357 citations), Rheumatology (162 citations) and Orthopedics and Sports Medicine (86 citations). Bing Tu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Tingting Tang, Qiming Fan, Lin Du, Cunyi Fan, Ze Tang, Shen Liu, Jianping Gong, Zhaoxiang Peng, Hongjiang Ruan and Wei Yan. Their work appears in journals such as Cochrane Database of Systematic Reviews, Cell Death and Disease, The American Surgeon, Cancer Letters and Experimental Cell 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.