Lei Dong

1.5k citations
43 papers · 1.1k · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Protein Tyrosine Phosphatases 6
    • PI3K/AKT/mTOR signaling in cancer 6
    • Ubiquitin and proteasome pathways 5
    • Circular RNAs in diseases 4
    • Galectins and Cancer Biology 5

Lei Dong

39 papers receiving 1.1k citations

Peers

Lei Dong
Comparison fields: 5 of 78
  • Cancer Research 333
  • Genetics 139
  • Hematology 135
  • Molecular Biology 689
  • Immunology 175
Replace Claire Fabre with:
Claire Fabre France
Lars Anders United States
Mirjam T. Epping Netherlands
Ling Cen United States
Marco Cirò Italy
Nino Keshelava United States
Karl X. Knaup Germany
Timothy P. Heffernan United States
Tiziana Ottone Italy
Niranjan Yanamandra United States
Lei Dong relative to Claire Fabre France Claire Fabre's profile →
Citations per field
00.5×1.5×2.4×
Claire Fabre · 1×
Citations per year

Countries citing papers authored by Lei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016190
2 2016172
3 2020120
4 2017109
5 201854
6 201549
7 202032
8 202032
9
Knockdown of microRNA-127 reverses adriamycin resistance via cell cycle arrest and apoptosis sensitization in adriamycin-resistant human glioma cells.
201525
10 202025
11 202023
12 202122
13
Inhibitory effect of miR-184 on the potential of proliferation and invasion in human glioma and breast cancer cells in vitro.
201522
14 202121
15 202117
16 202317
17 202314
18 202514
19 201714
20 201612

About Lei Dong

Lei Dong is a scholar working on Molecular Biology, Immunology, Cancer Research, Epidemiology and Genetics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (6 papers), Autophagy in Disease and Therapy (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Ubiquitin and proteasome pathways (5 papers), Galectins and Cancer Biology (5 papers), Cancer-related molecular mechanisms research (5 papers), Glioma Diagnosis and Treatment (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (333 citations), Genetics (139 citations), Hematology (135 citations), Molecular Biology (689 citations) and Immunology (175 citations). Lei Dong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xia Qin, Liqun Liu, Yu Zhu, Xiaobo Li, Shouwei Li, Pei Zhang, Feng Ren, Guang Li, Wensheng Yang and Zhijun Qiu. Their work appears in journals such as Frontiers in Oncology, Scientific Reports, Oncotarget, Autophagy and Clinical and Translational Medicine.

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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