Dengdi Hu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
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- Ferroptosis and cancer prognosis
Papers in
-
- Kruppel-like factors research 2
- RNA modifications and cancer 2
- Metabolism, Diabetes, and Cancer 1
- Wnt/β-catenin signaling in development and cancer 1
- Oncology 3
- Cancer Cells and Metastasis 3
- Co-authors
- Linbo Wang (5 shared papers)Jichun Zhou (5 shared papers)Zhaoqing Li (4 shared papers)Wenying Zhuo (4 shared papers)Lini Chen (4 shared papers)Cong Chen (3 shared papers)Bin Zheng (1 shared paper)Yongxia Chen (5 shared papers)
- Journals
- Biomarker Research (1 paper)Cancer Communications (1 paper)Heliyon (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dengdi Hu
7 papers receiving 377 citations
Dengdi Hu's Hit Papers
Peers
Comparison fields: 5 of 57
- Cancer Research 175
- Pulmonary and Respiratory Medicine 157
- Oncology 116
- Molecular Biology 233
- Immunology 44
Countries citing papers authored by Dengdi Hu
This map shows the geographic impact of Dengdi Hu'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 Dengdi Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengdi Hu more than expected).
Fields of papers citing papers by Dengdi Hu
This network shows the impact of papers produced by Dengdi Hu. 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 Dengdi Hu. The network helps show where Dengdi Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dengdi Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cancer‐associated fibroblasts in breast cancer: Challenges and opportunities Hit paper breakdown → | 2022 | 174 |
| 2 | 2020 | 150 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 3 |
About Dengdi Hu
Dengdi Hu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Kruppel-like factors research (2 papers), RNA modifications and cancer (2 papers), Metabolism, Diabetes, and Cancer (1 paper), MicroRNA in disease regulation (1 paper), Curcumin's Biomedical Applications (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (175 citations), Pulmonary and Respiratory Medicine (157 citations), Oncology (116 citations), Molecular Biology (233 citations) and Immunology (44 citations). Dengdi Hu has collaborated with scholars based in China and United States. Frequent co-authors include Linbo Wang, Jichun Zhou, Zhaoqing Li, Wenying Zhuo, Lini Chen, Cong Chen, Bin Zheng, Yongxia Chen, Yujie Hu and Xixi Lin. Their work appears in journals such as Biomarker Research, Cancer Communications, Heliyon, Journal of Cellular and Molecular Medicine and Journal of Molecular 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.