Bin E. Li
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
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- Protein Degradation and Inhibitors
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
Papers in
-
- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Protein Degradation and Inhibitors 2
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
-
- Acute Myeloid Leukemia Research 6
- Co-authors
- Patricia Ernst (5 shared papers)Stuart H. Orkin (4 shared papers)Yuko Fujiwara (5 shared papers)Maximilian Nguyen (2 shared papers)Sahand Hormoz (2 shared papers)Fernando G. Osorio (2 shared papers)Sarah Bowling (2 shared papers)Duluxan Sritharan (2 shared papers)
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Experimental Hematology (2 papers)Blood (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Bin E. Li
13 papers receiving 724 citations
Peers
Comparison fields: 5 of 57
- Hematology 199
- Molecular Biology 630
- Cancer Research 75
- Biophysics 27
- Genetics 38
Countries citing papers authored by Bin E. Li
This map shows the geographic impact of Bin E. Li'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 E. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin E. Li more than expected).
Fields of papers citing papers by Bin E. Li
This network shows the impact of papers produced by Bin E. Li. 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 E. Li. The network helps show where Bin E. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin E. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 204 | |
| 2 | 2020 | 194 | |
| 3 | 2016 | 73 | |
| 4 | 2013 | 61 | |
| 5 | 2013 | 51 | |
| 6 | 2020 | 39 | |
| 7 | 2014 | 36 | |
| 8 | 2020 | 31 | |
| 9 | 2021 | 25 | |
| 10 | 2023 | 7 | |
| 11 | 2018 | 5 | |
| 12 | Transcription control by the ENL YEATS domain in acute leukaemia | 2017 | 1 |
| 13 | 2014 | 1 |
About Bin E. Li
Bin E. Li is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Plant Science, having authored 13 papers that have together received 728 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Protein Degradation and Inhibitors (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), RNA Interference and Gene Delivery (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Hematology (199 citations), Molecular Biology (630 citations), Cancer Research (75 citations), Biophysics (27 citations) and Genetics (38 citations). Bin E. Li has collaborated with scholars based in United States, France and China. Frequent co-authors include Patricia Ernst, Stuart H. Orkin, Yuko Fujiwara, Maximilian Nguyen, Sahand Hormoz, Fernando G. Osorio, Sarah Bowling, Duluxan Sritharan, Priscilla Cheung and Alejo Rodriguez-Fraticelli. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Experimental Hematology, Blood and The Journal of Immunology.
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.