Ran Deng
Impact in
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- Rheumatoid Arthritis Research and Therapies
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
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- Sphingolipid Metabolism and Signaling 4
- PI3K/AKT/mTOR signaling in cancer 3
- Natural product bioactivities and synthesis 2
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Yan Wang (4 shared papers)Hong Wu (7 shared papers)Yanhong Bu (10 shared papers)Mengdie Wang (2 shared papers)Yan Wang (2 shared papers)Hong Wu (3 shared papers)Jun Fu (2 shared papers)Ronghui Wang (2 shared papers)
- Journals
- Phytotherapy Research (2 papers)European Journal of Pharmacology (2 papers)Journal of Ethnopharmacology (2 papers)Phytomedicine (2 papers)Inflammation Research (1 paper)
- Partner nations
- China
In The Last Decade
Ran Deng
23 papers receiving 411 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 81
- Pharmacology 43
- Complementary and alternative medicine 40
- Cancer Research 50
- Molecular Biology 228
Countries citing papers authored by Ran Deng
This map shows the geographic impact of Ran 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 Ran Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Deng more than expected).
Fields of papers citing papers by Ran Deng
This network shows the impact of papers produced by Ran 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 Ran Deng. The network helps show where Ran Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2021 | 58 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 39 | |
| 6 | 2021 | 26 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 5 | |
| 17 | A Bioinformatic Analysis of Immune-Related Prognostic Genes in Clear Cell Renal Cell Carcinoma Based on TCGA and GEO Databases | 2022 | 4 |
| 18 | 2023 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2022 | 3 |
About Ran Deng
Ran Deng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Complementary and alternative medicine and Cancer Research, having authored 24 papers that have together received 416 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Flavonoids in Medical Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers), Medicinal plant effects and applications (2 papers), Natural product bioactivities and synthesis (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Rheumatology (81 citations), Pharmacology (43 citations), Complementary and alternative medicine (40 citations), Cancer Research (50 citations) and Molecular Biology (228 citations). Ran Deng has collaborated with scholars based in China. Frequent co-authors include Yan Wang, Hong Wu, Yanhong Bu, Mengdie Wang, Yan Wang, Hong Wu, Jun Fu, Ronghui Wang, Jianpeng Li and Jian Liu. Their work appears in journals such as Phytotherapy Research, European Journal of Pharmacology, Journal of Ethnopharmacology, Phytomedicine and Inflammation 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.