Deliang Fu
Impact in
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Oncology 56
- Pancreatic and Hepatic Oncology Research 46
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- Epigenetics and DNA Methylation 7
- Co-authors
- Chen Jin (40 shared papers)Feng Yang (31 shared papers)Di Yang (17 shared papers)Quanxing Ni (14 shared papers)Yongjian Jiang (17 shared papers)Ji Li (17 shared papers)Jin Chen (5 shared papers)Yishen Mao (10 shared papers)
- Journals
- World Journal of Gastroenterology (5 papers)Oncotarget (3 papers)Annals of Surgical Oncology (3 papers)OncoTargets and Therapy (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Deliang Fu
95 papers receiving 2.7k citations
Deliang Fu's Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 1.1k
- Cancer Research 500
- Biomaterials 348
- Molecular Biology 851
- Immunology 243
Countries citing papers authored by Deliang Fu
This map shows the geographic impact of Deliang Fu'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 Deliang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deliang Fu more than expected).
Fields of papers citing papers by Deliang Fu
This network shows the impact of papers produced by Deliang Fu. 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 Deliang Fu. The network helps show where Deliang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Deliang Fu, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The molecular biology of pancreatic adenocarcinoma: translational challenges and clinical perspectives Hit paper breakdown → | 2021 | 239 |
| 2 | 2021 | 183 | |
| 3 | 2021 | 145 | |
| 4 | 2011 | 143 | |
| 5 | 2011 | 134 | |
| 6 | 2009 | 124 | |
| 7 | 2012 | 103 | |
| 8 | 2020 | 93 | |
| 9 | 2014 | 90 | |
| 10 | 2009 | 50 | |
| 11 | 2013 | 50 | |
| 12 | 2014 | 50 | |
| 13 | 2019 | 47 | |
| 14 | 2016 | 44 | |
| 15 | 2009 | 44 | |
| 16 | 2008 | 41 | |
| 17 | 2013 | 40 | |
| 18 | 2020 | 38 | |
| 19 | 2014 | 35 | |
| 20 | 2017 | 33 |
About Deliang Fu
Deliang Fu is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (46 papers), Pancreatitis Pathology and Treatment (11 papers), Neuroendocrine Tumor Research Advances (8 papers), Epigenetics and DNA Methylation (7 papers), Cancer Genomics and Diagnostics (7 papers), Nanoparticle-Based Drug Delivery (7 papers), Renal cell carcinoma treatment (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (500 citations), Biomaterials (348 citations), Molecular Biology (851 citations) and Immunology (243 citations). Deliang Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chen Jin, Feng Yang, Di Yang, Quanxing Ni, Yongjian Jiang, Ji Li, Jin Chen, Yishen Mao, Zhibo Xie and Jin Xu. Their work appears in journals such as World Journal of Gastroenterology, Oncotarget, Annals of Surgical Oncology, OncoTargets and Therapy and Journal of 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.