Bing Han
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Hematopoietic Stem Cell Transplantation
- Iron Metabolism and Disorders
- Genetics top 10%
Papers in
- Hematology 50
- Hematopoietic Stem Cell Transplantation 20
- Blood groups and transfusion 16
- Platelet Disorders and Treatments 13
- Multiple Myeloma Research and Treatments 6
- Co-authors
- Jian‐Shuang Jiang (6 shared papers)Ya‐Nan Yang (6 shared papers)Zi‐Ming Feng (6 shared papers)Pei‐Cheng Zhang (6 shared papers)Miao Chen (22 shared papers)Junling Zhuang (17 shared papers)Zhangbiao Long (7 shared papers)Chen Yang (12 shared papers)
- Journals
- Annals of Hematology (13 papers)Blood (12 papers)Scientific Reports (5 papers)Leukemia Research (4 papers)European Journal of Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Han
108 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Hematology 250
- Genetics 85
- Complementary and alternative medicine 57
- Immunology 124
- Pharmacology 46
Countries citing papers authored by Bing Han
This map shows the geographic impact of Bing Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Han more than expected).
Fields of papers citing papers by Bing Han
This network shows the impact of papers produced by Bing Han. 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 Han. The network helps show where Bing Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Han, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 58 | |
| 2 | 2017 | 50 | |
| 3 | 2020 | 45 | |
| 4 | 2009 | 43 | |
| 5 | 2017 | 34 | |
| 6 | 2018 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2018 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2015 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2019 | 24 | |
| 15 | 2002 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 1999 | 22 | |
| 18 | 2018 | 20 | |
| 19 | 2005 | 19 | |
| 20 | 2022 | 18 |
About Bing Han
Bing Han is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Genetics, having authored 126 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Blood groups and transfusion (16 papers), Platelet Disorders and Treatments (13 papers), Blood disorders and treatments (11 papers), Complement system in diseases (10 papers), Erythrocyte Function and Pathophysiology (9 papers), Phytochemistry and Biological Activities (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (250 citations), Genetics (85 citations), Complementary and alternative medicine (57 citations), Immunology (124 citations) and Pharmacology (46 citations). Bing Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian‐Shuang Jiang, Ya‐Nan Yang, Zi‐Ming Feng, Pei‐Cheng Zhang, Miao Chen, Junling Zhuang, Zhangbiao Long, Chen Yang, Wenrong Li and Hong Huang. Their work appears in journals such as Annals of Hematology, Blood, Scientific Reports, Leukemia Research and European Journal of Medicinal Chemistry.
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.