Jun Deng
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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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 5
- RNA modifications and cancer 5
- Gut microbiota and health 4
- Epigenetics and DNA Methylation 3
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Sichun Zhou (16 shared papers)Mei Peng (15 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
29 papers receiving 626 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 163
- Molecular Biology 359
- Neurology 37
- Oncology 93
- Pharmacology 26
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 | 159 | |
| 2 | 2018 | 71 | |
| 3 | 2018 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 31 | |
| 6 | 2022 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2015 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2019 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2019 | 7 |
About Jun Deng
Jun Deng is a scholar working on Molecular Biology, Oncology, Cancer Research, Neurology and Biochemistry, having authored 30 papers that have together received 636 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), RNA modifications and cancer (5 papers), Gut microbiota and health (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Lipids, and Metabolism (3 papers), Barrier Structure and Function Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (359 citations), Neurology (37 citations), Oncology (93 citations) and Pharmacology (26 citations). Jun Deng has collaborated with scholars based in China, Germany and Macao. Frequent co-authors include Sichun Zhou, Mei Peng, 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 Food Science & Nutrition, Food & Function, Cancer Cell International, Frontiers in Pharmacology and Journal of Pharmaceutical and Biomedical Analysis.
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.