Enqin Li

1.7k citations
24 papers · 1.2k indexed · 1 hit paper · h-index 15

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Mesenchymal stem cell research 11
    • Pluripotent Stem Cells Research 8
    • RNA Interference and Gene Delivery 2

Enqin Li

23 papers receiving 1.1k citations

Hit Papers

COVID-19: what has been learned and to be learned about the novel coronavirus disease 2020 · 553 citations
5532020202620222024100200300400500

Peers

Enqin Li
Comparison fields: 5 of 140
  • Genetics 262
  • Infectious Diseases 314
  • Modeling and Simulation 57
  • Neurology 130
  • General Dentistry 14
Replace James R. Black with:
James R. Black United Kingdom
Marinella Clerico Italy
Chao Sun China
Fan Feng China
Seyed Mohsen Miresmaeili Iran
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Yves‐Marie Pers France
Drake G. LeBrun United States
Enqin Li relative to James R. Black United Kingdom James R. Black's profile →
Citations per field
00.5×3.0×
James R. Black · 1×
Citations per year

Countries citing papers authored by Enqin Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20231
4 202221
5 202111
6 20216
7
COVID-19: what has been learned and to be learned about the novel coronavirus disease
Hit paper breakdown →
2020553
8 201952
9 201941
10 201943
11 201824
12 20182
13 201833
14 201834
15 201717
16 201713
17 201766
18 201420
19 20125
20 20099

About Enqin Li

Enqin Li is a scholar working on Genetics, Molecular Biology, Developmental Neuroscience, Modeling and Simulation and Surgery, 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), Biomedical Ethics and Regulation (2 papers), Multiple Sclerosis Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (262 citations), Infectious Diseases (314 citations), Modeling and Simulation (57 citations), Neurology (130 citations) and General Dentistry (14 citations). Enqin Li has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Yi Ye, Sen Ye, Ren‐He Xu, Yan Li, Bin Jiang, Xiaoyan Wang, Zhenwu Zhang, Bin Jiang, Hongxuan Wang and Ren‐He Xu. Their work appears in journals such as International Journal of Biological Sciences, Biomaterials, European Journal of Medicinal Chemistry, Theranostics and Stem Cells.

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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