Bin E. Li

1.2k citations
13 papers · 869 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Genomics and Chromatin Dynamics
    • Single-cell and spatial transcriptomics
    • Protein Degradation and Inhibitors
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation

Papers in

    • Hematopoietic Stem Cell Transplantation 1
    • Chronic Myeloid Leukemia Treatments 1
    • Genomics and Chromatin Dynamics 2
    • Single-cell and spatial transcriptomics 1
    • CRISPR and Genetic Engineering 1

Bin E. Li

12 papers receiving 855 citations

Peers

Bin E. Li
Comparison fields: 5 of 32
  • Hematology 165
  • Molecular Biology 387
  • Developmental Neuroscience 5
  • Cancer Research 12
  • Immunology 17
Replace Deepak Kumar Jha with:
Deepak Kumar Jha United States
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Natalie Punt United States
Trevor Parton United States
Melissa Ann Fischer United States
Stella T. Pearson United Kingdom
Patricia Sousa United States
Dorothée Mueller Germany
Priscilla Cheung United States
Haiming Xu United States
Bin E. Li relative to Deepak Kumar Jha United States Deepak Kumar Jha's profile →
Citations per field
00.5×1.7×
Deepak Kumar Jha · 1×
Citations per year

Countries citing papers authored by Bin E. Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bin E. Li Line = papers co-authored together Bin E. Li links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017246
2 2020236
3 201682
4 201369
5 201355
6 201451
7 202050
8 202036
9 202128
10 202310
11 20185
12 20141
13 20260

About Bin E. Li

Bin E. Li is a scholar working on Hematology, Molecular Biology, Immunology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 13 papers that have together received 869 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), T-cell and B-cell Immunology (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Single-cell and spatial transcriptomics (1 paper), CRISPR and Genetic Engineering (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (165 citations), Molecular Biology (387 citations), Developmental Neuroscience (5 citations), Cancer Research (12 citations) and Immunology (17 citations). Bin E. Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stuart H. Orkin, Patricia Ernst, Yuko Fujiwara, Fernando G. Osorio, Priscilla Cheung, Wei-Chien Yuan, Maximilian Nguyen, Sahand Hormoz, Sachin H Patel and Alejo Rodriguez-Fraticelli. Their work appears in journals such as Experimental Hematology, Proceedings of the National Academy of Sciences, Cell, Blood 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.

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