Lei Dong
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- 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
- Immunology 11
- Galectins and Cancer Biology 5
- Co-authors
- Xia Qin (14 shared papers)Liqun Liu (10 shared papers)Yu Zhu (3 shared papers)Xiaobo Li (6 shared papers)Shouwei Li (2 shared papers)Pei Zhang (1 shared paper)Feng Ren (2 shared papers)Chao Gu (1 shared paper)
- Journals
- Frontiers in Oncology (3 papers)Oncotarget (2 papers)Clinical and Translational Medicine (2 papers)Scientific Reports (2 papers)Autophagy (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lei Dong
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 337
- Genetics 143
- Hematology 137
- Molecular Biology 698
- Immunology 178
Countries citing papers authored by Lei Dong
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 192 | |
| 2 | 2016 | 172 | |
| 3 | 2020 | 124 | |
| 4 | 2017 | 110 | |
| 5 | 2018 | 54 | |
| 6 | 2015 | 49 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 32 | |
| 9 | 2020 | 26 | |
| 10 | Knockdown of microRNA-127 reverses adriamycin resistance via cell cycle arrest and apoptosis sensitization in adriamycin-resistant human glioma cells. | 2015 | 25 |
| 11 | 2021 | 23 | |
| 12 | 2020 | 23 | |
| 13 | Inhibitory effect of miR-184 on the potential of proliferation and invasion in human glioma and breast cancer cells in vitro. | 2015 | 23 |
| 14 | 2021 | 21 | |
| 15 | 2021 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2023 | 14 | |
| 18 | 2025 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2016 | 12 |
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 (337 citations), Genetics (143 citations), Hematology (137 citations), Molecular Biology (698 citations) and Immunology (178 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, Chao Gu, Wensheng Yang and Ping Yang. Their work appears in journals such as Frontiers in Oncology, Oncotarget, Clinical and Translational Medicine, Scientific Reports and Autophagy.
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.