Defeng Deng
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- Melanoma and MAPK Pathways 2
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
- Oncology 11
- Pancreatic and Hepatic Oncology Research 7
- Peptidase Inhibition and Analysis 2
- Co-authors
- Craig D. Logsdon (13 shared papers)Huamin Wang (10 shared papers)Zobeida Cruz‐Monserrate (6 shared papers)Thiruvengadam Arumugam (6 shared papers)Baoan Ji (5 shared papers)Vijaya Ramachandran (4 shared papers)Christina L. Roland (2 shared papers)Jarosław Daniluk (3 shared papers)
- Journals
- PLoS ONE (4 papers)Cancer Research (4 papers)Scientific Reports (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Defeng Deng
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 362
- Oncology 476
- Immunology 280
- Molecular Biology 703
- Cell Biology 98
Countries citing papers authored by Defeng Deng
This map shows the geographic impact of Defeng 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 Defeng Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Defeng Deng more than expected).
Fields of papers citing papers by Defeng Deng
This network shows the impact of papers produced by Defeng 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 Defeng Deng. The network helps show where Defeng Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Defeng 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 268 | |
| 2 | 2012 | 208 | |
| 3 | 2011 | 119 | |
| 4 | 2017 | 114 | |
| 5 | 2014 | 77 | |
| 6 | 2015 | 56 | |
| 7 | 2011 | 54 | |
| 8 | 2009 | 47 | |
| 9 | 2016 | 47 | |
| 10 | 2005 | 43 | |
| 11 | 2005 | 39 | |
| 12 | 2015 | 36 | |
| 13 | 2013 | 33 | |
| 14 | 2018 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2014 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2010 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2022 | 14 |
About Defeng Deng
Defeng Deng is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Physiology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Cancer-related molecular mechanisms research (3 papers), Melanoma and MAPK Pathways (2 papers), Circular RNAs in diseases (2 papers), NF-κB Signaling Pathways (2 papers), Cancer-related gene regulation (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (362 citations), Oncology (476 citations), Immunology (280 citations), Molecular Biology (703 citations) and Cell Biology (98 citations). Defeng Deng has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Craig D. Logsdon, Huamin Wang, Zobeida Cruz‐Monserrate, Thiruvengadam Arumugam, Baoan Ji, Vijaya Ramachandran, Christina L. Roland, Jarosław Daniluk, Bincy Philip and William R. Burns. Their work appears in journals such as PLoS ONE, Cancer Research, Scientific Reports, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.