Ganlu Deng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Cancer Cells and Metastasis
Papers in
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- TGF-β signaling in diseases 4
- RNA modifications and cancer 3
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Oncology 8
- Cancer Cells and Metastasis 4
- Co-authors
- Shan Zeng (17 shared papers)Cao Guo (12 shared papers)Hong Shen (11 shared papers)Changjing Cai (10 shared papers)Ying Han (10 shared papers)Ling Yin (10 shared papers)Yiyi Li (7 shared papers)Junli Ma (5 shared papers)
- Journals
- Cancer Letters (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)iScience (1 paper)Cancer Cell International (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ganlu Deng
24 papers receiving 790 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 220
- Oncology 189
- Hepatology 46
- Molecular Biology 399
- Pulmonary and Respiratory Medicine 105
Countries citing papers authored by Ganlu Deng
This map shows the geographic impact of Ganlu Deng'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 Ganlu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganlu Deng more than expected).
Fields of papers citing papers by Ganlu Deng
This network shows the impact of papers produced by Ganlu Deng. 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 Ganlu Deng. The network helps show where Ganlu Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganlu Deng, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 2017 | 69 | |
| 3 | 2017 | 64 | |
| 4 | Honokiol induces ferroptosis in colon cancer cells by regulating GPX4 activity. | 2021 | 59 |
| 5 | 2018 | 49 | |
| 6 | 2017 | 43 | |
| 7 | 2018 | 41 | |
| 8 | 2020 | 40 | |
| 9 | 2015 | 40 | |
| 10 | 2016 | 39 | |
| 11 | 2017 | 35 | |
| 12 | 2018 | 33 | |
| 13 | 2017 | 28 | |
| 14 | 2016 | 26 | |
| 15 | 2020 | 23 | |
| 16 | 2019 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2024 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Ganlu Deng
Ganlu Deng is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 797 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), TGF-β signaling in diseases (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Mechanisms and Therapy (3 papers), RNA modifications and cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer-related gene regulation (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (220 citations), Oncology (189 citations), Hepatology (46 citations), Molecular Biology (399 citations) and Pulmonary and Respiratory Medicine (105 citations). Ganlu Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shan Zeng, Cao Guo, Hong Shen, Changjing Cai, Ying Han, Ling Yin, Yiyi Li, Junli Ma, Yan Zhang and Yaojie Fu. Their work appears in journals such as Cancer Letters, Journal of Experimental & Clinical Cancer Research, iScience, Cancer Cell International and Molecular Carcinogenesis.
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.