Enqin Li
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Pluripotent Stem Cells Research 8
- RNA Interference and Gene Delivery 2
- Genetics 11
- Mesenchymal stem cell research 11
- Co-authors
- Sen Ye (1 shared paper)Yi Ye (1 shared paper)Ren‐He Xu (12 shared papers)Bin Jiang (3 shared papers)Xiaoyan Wang (4 shared papers)Bin Jiang (4 shared papers)Zhenwu Zhang (6 shared papers)Ren‐He Xu (5 shared papers)
- Journals
- International Journal of Biological Sciences (6 papers)Biomaterials (3 papers)European Journal of Medicinal Chemistry (2 papers)Stem Cells (2 papers)Theranostics (2 papers)
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Enqin Li
23 papers receiving 1.1k citations
Enqin Li's Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 234
- Infectious Diseases 270
- Modeling and Simulation 41
- Neurology 104
- General Dentistry 11
Countries citing papers authored by Enqin Li
This map shows the geographic impact of Enqin 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 Enqin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enqin Li more than expected).
Fields of papers citing papers by Enqin Li
This network shows the impact of papers produced by Enqin 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 Enqin Li. The network helps show where Enqin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Enqin 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19: what has been learned and to be learned about the novel coronavirus disease Hit paper breakdown → | 2020 | 555 |
| 2 | 2018 | 81 | |
| 3 | 2017 | 66 | |
| 4 | 2017 | 56 | |
| 5 | 2015 | 54 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 44 | |
| 8 | 2019 | 43 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 34 | |
| 11 | 2018 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2014 | 20 | |
| 14 | 2017 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2017 | 13 | |
| 17 | 2021 | 11 | |
| 18 | 2009 | 9 | |
| 19 | 2021 | 6 | |
| 20 | 2012 | 5 |
About Enqin Li
Enqin Li is a scholar working on Molecular Biology, Genetics, Surgery, Immunology and Infectious Diseases, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (9 papers), Pluripotent Stem Cells Research (8 papers), RNA Interference and Gene Delivery (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Biomedical Ethics and Regulation (2 papers), Multiple Sclerosis Research Studies (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Genetics (234 citations), Infectious Diseases (270 citations), Modeling and Simulation (41 citations), Neurology (104 citations) and General Dentistry (11 citations). Enqin Li has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Sen Ye, Yi Ye, Ren‐He Xu, Bin Jiang, Xiaoyan Wang, Bin Jiang, Zhenwu Zhang, Ren‐He Xu, Hongxuan Wang and Yingcui Li. Their work appears in journals such as International Journal of Biological Sciences, Biomaterials, European Journal of Medicinal Chemistry, Stem Cells and Theranostics.
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.