Jun Deng
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Metabolism, Diabetes, and Cancer
- Gut microbiota and health
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Metabolism, Diabetes, and Cancer 8
- PI3K/AKT/mTOR signaling in cancer 6
- RNA modifications and cancer 5
- Gut microbiota and health 4
- Epigenetics and DNA Methylation 3
- Metabolomics and Mass Spectrometry Studies 3
- Oncology 9
- Cancer-related Molecular Pathways 5
- Co-authors
- Mei Peng (15 shared papers)Sichun Zhou (16 shared papers)Xiaoping Yang (15 shared papers)Ting Tao (7 shared papers)Caimei He (9 shared papers)Yanjun Huang (6 shared papers)Di Xiao (11 shared papers)Qiongli Su (7 shared papers)
In The Last Decade
Jun Deng
27 papers receiving 588 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 175
- Molecular Biology 390
- Neurology 35
- Oncology 104
- Pharmacology 30
Countries citing papers authored by Jun Deng
This map shows the geographic impact of Jun 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 Jun Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Deng more than expected).
Fields of papers citing papers by Jun Deng
This network shows the impact of papers produced by Jun 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 Jun Deng. The network helps show where Jun Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2018 | 68 | |
| 3 | 2018 | 41 | |
| 4 | 2019 | 39 | |
| 5 | 2019 | 29 | |
| 6 | 2022 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2023 | 25 | |
| 10 | 2015 | 21 | |
| 11 | 2019 | 19 | |
| 12 | 2017 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2019 | 7 |
About Jun Deng
Jun Deng is a scholar working on Molecular Biology, Oncology, Cancer Research, Neurology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 597 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (5 papers), Gut microbiota and health (4 papers), Cancer, Lipids, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Cancer Research (175 citations), Molecular Biology (390 citations), Neurology (35 citations), Oncology (104 citations) and Pharmacology (30 citations). Jun Deng has collaborated with scholars based in China, Macao and Germany. Frequent co-authors include Mei Peng, Sichun Zhou, Xiaoping Yang, Ting Tao, Caimei He, Yanjun Huang, Di Xiao, Qiongli Su, Kwame Oteng Darko and Zhiren Wang. Their work appears in journals such as Cancer Cell International, Food & Function, Food Science & Nutrition, Archiv der Pharmazie and Biomedical Chromatography.
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.