Binbin Lai
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Peroxisome Proliferator-Activated Receptors
- Chromatin Remodeling and Cancer
- Protein Degradation and Inhibitors
- Single-cell and spatial transcriptomics
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- IL-33, ST2, and ILC Pathways
Papers in
-
- Genomics and Chromatin Dynamics 10
- Peroxisome Proliferator-Activated Receptors 2
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
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- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Kai Ge (6 shared papers)Ji‐Eun Lee (5 shared papers)Weiqun Peng (4 shared papers)Younghoon Jang (2 shared papers)Keji Zhao (7 shared papers)Young-Kwon Park (2 shared papers)Lenan Zhuang (2 shared papers)Chaochen Wang (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Frontiers in Immunology (2 papers)Advanced Materials (2 papers)Bioinformatics (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Binbin Lai
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 801
- Immunology 128
- Physiology 133
- Cancer Research 53
- Genetics 31
Countries citing papers authored by Binbin Lai
This map shows the geographic impact of Binbin Lai'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 Binbin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Lai more than expected).
Fields of papers citing papers by Binbin Lai
This network shows the impact of papers produced by Binbin Lai. 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 Binbin Lai. The network helps show where Binbin Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Lai, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 224 | |
| 2 | 2016 | 181 | |
| 3 | 2017 | 166 | |
| 4 | 2017 | 140 | |
| 5 | 2018 | 131 | |
| 6 | 2019 | 98 | |
| 7 | 2018 | 62 | |
| 8 | 2016 | 44 | |
| 9 | 2014 | 38 | |
| 10 | 2012 | 35 | |
| 11 | 2019 | 23 | |
| 12 | 2023 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2018 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Binbin Lai
Binbin Lai is a scholar working on Molecular Biology, Immunology, Dermatology, Oncology and Physiology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Machine Learning in Materials Science (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Bone Tissue Engineering Materials (2 papers), Single-cell and spatial transcriptomics (2 papers), Adipose Tissue and Metabolism (2 papers), Genomics and Phylogenetic Studies (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Molecular Biology (801 citations), Immunology (128 citations), Physiology (133 citations), Cancer Research (53 citations) and Genetics (31 citations). Binbin Lai has collaborated with scholars based in China, United States and France. Frequent co-authors include Kai Ge, Ji‐Eun Lee, Weiqun Peng, Younghoon Jang, Keji Zhao, Young-Kwon Park, Lenan Zhuang, Chaochen Wang, Lifeng Wang and Weiwu Gao. Their work appears in journals such as Molecular and Cellular Biology, Frontiers in Immunology, Advanced Materials, Bioinformatics and Briefings in Bioinformatics.
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.