Bin Miao
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
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- Mesenchymal stem cell research
Papers in
- Surgery 8
- Pancreatitis Pathology and Treatment 5
- Organ Transplantation Techniques and Outcomes 2
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- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Ning Na (14 shared papers)Liangqing Hong (5 shared papers)Zhengyu Huang (5 shared papers)Jinhua Zhang (5 shared papers)Shuwen Zhang (4 shared papers)You Luo (6 shared papers)Daqiang Zhao (3 shared papers)Jiang Qiu (3 shared papers)
- Journals
- Frontiers in Medicine (3 papers)Pancreatology (1 paper)Signal Transduction and Targeted Therapy (1 paper)Journal of Clinical Microbiology (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bin Miao
28 papers receiving 422 citations
Peers
Comparison fields: 5 of 77
- Transplantation 35
- Genetics 54
- Health Informatics 7
- Nephrology 28
- Surgery 131
Countries citing papers authored by Bin Miao
This map shows the geographic impact of Bin Miao'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 Bin Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Miao more than expected).
Fields of papers citing papers by Bin Miao
This network shows the impact of papers produced by Bin Miao. 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 Bin Miao. The network helps show where Bin Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Miao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2019 | 43 | |
| 3 | 2020 | 28 | |
| 4 | 2017 | 27 | |
| 5 | 2011 | 26 | |
| 6 | 2018 | 24 | |
| 7 | 2010 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2011 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2014 | 7 | |
| 19 | Immature CD4⁺ dendritic cells conditioned with donor kidney antigen prolong renal allograft survival in rats. | 2012 | 7 |
| 20 | 2018 | 6 |
About Bin Miao
Bin Miao is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Epidemiology, having authored 31 papers that have together received 423 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (5 papers), Organ Donation and Transplantation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Erythropoietin and Anemia Treatment (2 papers), Cancer-related molecular mechanisms research (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Transplantation (35 citations), Genetics (54 citations), Health Informatics (7 citations), Nephrology (28 citations) and Surgery (131 citations). Bin Miao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ning Na, Liangqing Hong, Zhengyu Huang, Jinhua Zhang, Shuwen Zhang, You Luo, Daqiang Zhao, Jiang Qiu, Xiao Hu and Shirong Li. Their work appears in journals such as Frontiers in Medicine, Pancreatology, Signal Transduction and Targeted Therapy, Journal of Clinical Microbiology and BioMed Research International.
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.