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
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- Acute Myeloid Leukemia Research 5
-
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 3
- Protein Degradation and Inhibitors 2
- RNA Interference and Gene Delivery 2
- Insect Resistance and Genetics 1
- Co-authors
- Patricia Ernst (5 shared papers)Stuart H. Orkin (4 shared papers)Yuko Fujiwara (5 shared papers)Sahand Hormoz (2 shared papers)Fernando D. Camargo (2 shared papers)Sachin H Patel (2 shared papers)Maximilian Nguyen (2 shared papers)Fernando G. Osorio (2 shared papers)
- Journals
- Cell (2 papers)Experimental Hematology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Discovery (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Bin E. Li
13 papers receiving 838 citations
Peers
Comparison fields: 5 of 61
- Hematology 219
- Molecular Biology 694
- Cancer Research 79
- Biophysics 27
- Genetics 46
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 | 240 | |
| 2 | 2020 | 227 | |
| 3 | 2016 | 82 | |
| 4 | 2013 | 71 | |
| 5 | 2013 | 57 | |
| 6 | 2014 | 51 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 27 | |
| 10 | 2023 | 10 | |
| 11 | 2018 | 5 | |
| 12 | Transcription control by the ENL YEATS domain in acute leukaemia | 2017 | 1 |
| 13 | 2014 | 1 | |
| 14 | 2026 | 0 |
About Bin E. Li
Bin E. Li is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Cancer Research, having authored 14 papers that have together received 851 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Chromatin Dynamics (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers), RNA Interference and Gene Delivery (2 papers) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Hematology (219 citations), Molecular Biology (694 citations), Cancer Research (79 citations), Biophysics (27 citations) and Genetics (46 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, Sahand Hormoz, Fernando D. Camargo, Sachin H Patel, Maximilian Nguyen, Fernando G. Osorio, Wei-Chien Yuan and Sarah Bowling. Their work appears in journals such as Cell, Experimental Hematology, Proceedings of the National Academy of Sciences, Cancer Discovery and Blood Advances.
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.