Bing Yi
- Oncology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Toshiyuki YonedaPaul J. WilliamsMaria NiewolnaToshimi MichigamiToru HiragaYakun WangJianxin SunEdibaldo Silva
- Topics
- Bone health and treatments (3 papers)Radiopharmaceutical Chemistry and Applications (2 papers)Cancer Research and Treatments (2 papers)
- Journals
- CancerJournal of Dairy ScienceAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bing Yi
12 papers receiving 453 citations
Peers
Comparison fields: 5 of 67
- Oncology 290
- Molecular Biology 144
- Radiology, Nuclear Medicine and Imaging 121
- Pulmonary and Respiratory Medicine 117
- Surgery 55
Countries citing papers authored by Bing Yi
This map shows the geographic impact of Bing Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yi more than expected).
Fields of papers citing papers by Bing Yi
This network shows the impact of papers produced by Bing Yi. 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 Yi. The network helps show where Bing Yi may publish in the future.
Co-authorship network of co-authors of Bing Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Yi. A scholar is included among the top collaborators of Bing Yi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Yi. Bing Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | [Histocompatibility of a polypropylene matrix for hair follicle transplantation in rabbits]. | 0 |
| 9 | 19 | |
| 10 | Spontaneous complete necrosis of hepatocellular carcinoma: a case report. | 17 |
| 11 | Tumor-derived platelet-derived growth factor-BB plays a critical role in osteosclerotic bone metastasis in an animal model of human breast cancer. | 130 |
| 12 | 163 | |
| 13 | 41 |
About Bing Yi
Bing Yi is a scholar working on Biotechnology, Oncology and Endocrinology, having authored 13 papers that have together received 463 indexed citations. Recurring topics across this work include Bone health and treatments (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (290 citations), Radiology, Nuclear Medicine and Imaging (121 citations) and Pulmonary and Respiratory Medicine (117 citations). Bing Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Toshiyuki Yoneda, Paul J. Williams, Maria Niewolna, Toshimi Michigami, Toru Hiraga, Yakun Wang, Jianxin Sun, Edibaldo Silva, Jian Gao and Litian Yin. Their work appears in journals such as Cancer, Journal of Dairy Science and American Journal of Physiology-Heart and Circulatory Physiology.
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.