Chen Lei

739 citations
26 papers · 583 indexed · h-index 11

Impact in

Papers in

    • Mesenchymal stem cell research 6
    • Electrospun Nanofibers in Biomedical Applications 5

Chen Lei

24 papers receiving 569 citations

Peers

Chen Lei
Comparison fields: 5 of 94
  • Cancer Research 171
  • Cellular and Molecular Neuroscience 142
  • Genetics 82
  • Biomaterials 87
  • Developmental Neuroscience 20
Replace Yuanyuan Xie with:
Yuanyuan Xie China
Lingchi Kong China
Chikako Hayashi Japan
Feng Rao China
Abdullkhaleg Ali Albashari China
Zemin Ling China
Hengzhu Zhang China
Panpan Chang China
Chen Lei relative to Yuanyuan Xie China Yuanyuan Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chen Lei

Since Specialization
Citations

This map shows the geographic impact of Chen Lei'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 Chen Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Lei more than expected).

Fields of papers citing papers by Chen Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Lei. 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 Chen Lei. The network helps show where Chen Lei may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen Lei, 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 Chen Lei Line = papers co-authored together Chen Lei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 201259
3 201356
4 201346
5 201340
6 201737
7 201335
8 201531
9 201323
10 200919
11 201611
12
Spectroscopic studies on Co(II), Ni(II), Zn(II) complexes with 4,4′-bipyridine
20108
13 20257
14 20176
15 20215
16 20195
17 20205
18 20244
19 20083
20 20202

About Chen Lei

Chen Lei is a scholar working on Genetics, Biomaterials, Cancer Research, Urology and Surgery, having authored 26 papers that have together received 583 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (8 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), Reconstructive Facial Surgery Techniques (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Cancer Research (171 citations), Cellular and Molecular Neuroscience (142 citations), Genetics (82 citations), Biomaterials (87 citations) and Developmental Neuroscience (20 citations). Chen Lei has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Laijin Lu, Zhigang Liu, Zhixin Zhang, Ruijun Li, Xiangrong Chen, Xiaodan Jiang, Run Zhang, Ke Yan, Li Peng and Shuyun Huang. Their work appears in journals such as Journal of Materials Chemistry B, Cellular and Molecular Neurobiology, Tissue Engineering Part C Methods, Regenerative Medicine and Brain Research.

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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