Yang Bi
- Molecular Biology top 10%
- Surgery
- Cancer Research top 10%
- Genetics top 5%
- Epidemiology
- Co-authors
- Tong‐Chuan HeYun HeTingyu LiMin GongRex C. HaydonHue H. LuuYouxue LiuWei Jiang
- Topics
- Retinoids in leukemia and cellular processes (16 papers)Mesenchymal stem cell research (14 papers)Liver physiology and pathology (9 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Yang Bi
94 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 762
- Surgery 211
- Cancer Research 208
- Genetics 189
- Epidemiology 164
Countries citing papers authored by Yang Bi
This map shows the geographic impact of Yang Bi'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 Yang Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Bi more than expected).
Fields of papers citing papers by Yang Bi
This network shows the impact of papers produced by Yang Bi. 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 Yang Bi. The network helps show where Yang Bi may publish in the future.
Co-authorship network of co-authors of Yang Bi
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Bi. A scholar is included among the top collaborators of Yang Bi 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 Yang Bi. Yang Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | FTO Polymorphisms are Associated with Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) Susceptibility in the Older Chinese Han Population | 0 |
| 15 | 7 | |
| 16 | 3 | |
| 17 | Advance on researches of production, toxicity and detoxification of T-2 toxin. | 3 |
| 18 | Laser Doppler flowmetry optimized the rat model of global cerebral ischemia-reperfusion | 1 |
| 19 | Effects of Nd:YAG laser treatment on recovery of periodontal pockets and clinical attachment level of chronic periodontitis patients | 1 |
| 20 | A proteomic approach to study defense-related proteins responses to GSH treatment in pea (Pisum sativum). | 0 |
About Yang Bi
Yang Bi is a scholar working on Developmental Neuroscience, Genetics and Hepatology, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (16 papers), Mesenchymal stem cell research (14 papers) and Liver physiology and pathology (9 papers). The work is most often cited by research in Genetics (189 citations), Developmental Neuroscience (68 citations) and Hepatology (111 citations). Yang Bi has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Tong‐Chuan He, Yun He, Tingyu Li, Min Gong, Rex C. Haydon, Hue H. Luu, Youxue Liu, Wei Jiang, Guoxin Nan and Yan Gu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.
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.