Bai‐Liang He
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 2
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- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Anskar Y.H. Leung (11 shared papers)Yuen San Chan (1 shared paper)Likun Wei (1 shared paper)Jiahai Shi (1 shared paper)Mengsu Yang (1 shared paper)Ng Shyh‐Chang (1 shared paper)Tin Chanh Pham (1 shared paper)Victor Ma (1 shared paper)
- Journals
- Experimental Hematology (2 papers)Blood (2 papers)Genes & Diseases (2 papers)Journal of Virology (2 papers)Blood Reviews (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Bai‐Liang He
21 papers receiving 873 citations
Bai‐Liang He's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 267
- Hematology 119
- Molecular Biology 636
- Immunology 123
- Cell Biology 70
Countries citing papers authored by Bai‐Liang He
This map shows the geographic impact of Bai‐Liang He'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 Bai‐Liang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai‐Liang He more than expected).
Fields of papers citing papers by Bai‐Liang He
This network shows the impact of papers produced by Bai‐Liang He. 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 Bai‐Liang He. The network helps show where Bai‐Liang He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai‐Liang He, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient RNA drug delivery using red blood cell extracellular vesicles Hit paper breakdown → | 2018 | 536 |
| 2 | 2016 | 52 | |
| 3 | 2014 | 45 | |
| 4 | 2014 | 44 | |
| 5 | 2024 | 41 | |
| 6 | 2008 | 29 | |
| 7 | 2012 | 24 | |
| 8 | 2015 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2014 | 8 | |
| 15 | 2020 | 5 | |
| 16 | 2015 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2023 | 1 |
About Bai‐Liang He
Bai‐Liang He is a scholar working on Hematology, Molecular Biology, Cell Biology, Genetics and Cancer Research, having authored 21 papers that have together received 882 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Zebrafish Biomedical Research Applications (7 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Cancer Research (267 citations), Hematology (119 citations), Molecular Biology (636 citations), Immunology (123 citations) and Cell Biology (70 citations). Bai‐Liang He has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Anskar Y.H. Leung, Yuen San Chan, Likun Wei, Jiahai Shi, Mengsu Yang, Ng Shyh‐Chang, Tin Chanh Pham, Victor Ma, Luyen Tien Vu and William C. Cho. Their work appears in journals such as Experimental Hematology, Blood, Genes & Diseases, Journal of Virology and Blood Reviews.
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.