Peilong Lai
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 8
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- Extracellular vesicles in disease 6
- Epigenetics and DNA Methylation 5
- Co-authors
- Jianyu Weng (41 shared papers)Xin Du (25 shared papers)Chang He (8 shared papers)Tian Zhou (4 shared papers)Duanqing Pei (3 shared papers)Zenan Yuan (1 shared paper)Suxia Geng (31 shared papers)Liyan Guo (6 shared papers)
- Journals
- Blood (6 papers)Journal of Hematology & Oncology (5 papers)International Immunopharmacology (4 papers)DNA and Cell Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peilong Lai
49 papers receiving 1.5k citations
Peilong Lai's Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 428
- Cancer Research 224
- Hematology 148
- Immunology 236
- Oncology 281
Countries citing papers authored by Peilong Lai
This map shows the geographic impact of Peilong 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 Peilong Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peilong Lai more than expected).
Fields of papers citing papers by Peilong Lai
This network shows the impact of papers produced by Peilong 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 Peilong Lai. The network helps show where Peilong Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Peilong 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Challenges and advances in clinical applications of mesenchymal stromal cells Hit paper breakdown → | 2021 | 520 |
| 2 | 2018 | 147 | |
| 3 | 2019 | 117 | |
| 4 | 2017 | 81 | |
| 5 | 2017 | 81 | |
| 6 | 2012 | 72 | |
| 7 | 2022 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2020 | 45 | |
| 10 | 2024 | 44 | |
| 11 | 2020 | 31 | |
| 12 | 2022 | 30 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 15 | |
| 17 | Toll-like receptor 2-mediated NF-κB inflammatory responses in dry eye associated with cGVHD. | 2011 | 15 |
| 18 | 2016 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2012 | 11 |
About Peilong Lai
Peilong Lai is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Oncology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (7 papers), Mesenchymal stem cell research (7 papers), Extracellular vesicles in disease (6 papers), T-cell and B-cell Immunology (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Genetics (428 citations), Cancer Research (224 citations), Hematology (148 citations), Immunology (236 citations) and Oncology (281 citations). Peilong Lai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianyu Weng, Xin Du, Chang He, Tian Zhou, Duanqing Pei, Zenan Yuan, Suxia Geng, Liyan Guo, Xiaomei Chen and Suijing Wu. Their work appears in journals such as Blood, Journal of Hematology & Oncology, International Immunopharmacology, DNA and Cell Biology and Scientific Reports.
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.