Junjun Shen
Impact in
-
- Fatty Acid Research and Health
Papers in
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- Pharmacological Effects of Natural Compounds 2
- Co-authors
- Feijun LuoQinlu LinTao YangYing NieLimin ShiYiping TangYing LiangXinhua Li
- Journals
- Food & Function (3 papers)iScience (1 paper)Nutrients (1 paper)World Neurosurgery (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- ChinaBelgiumUnited Kingdom
In The Last Decade
Junjun Shen
23 papers receiving 626 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 39
- Nutrition and Dietetics 82
- Complementary and alternative medicine 41
- Periodontics 18
- Cancer Research 55
Countries citing papers authored by Junjun Shen
This map shows the geographic impact of Junjun Shen'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 Junjun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Shen more than expected).
Fields of papers citing papers by Junjun Shen
This network shows the impact of papers produced by Junjun Shen. 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 Junjun Shen. The network helps show where Junjun Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junjun Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 19 | |
| 3 | 2023 | 49 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 42 | |
| 12 | 2018 | 41 | |
| 13 | 2016 | 62 | |
| 14 | 2016 | 61 | |
| 15 | 2015 | 28 | |
| 16 | 2014 | 1 | |
| 17 | 2010 | 15 | |
| 18 | Delayed hepatocarcinogenesis through antiangiogenic intervention in the nuclear factor-kappa B activation pathway in rats. | 2010 | 10 |
| 19 | [The effect of thalidomine-induced NF-kappa B activation on malignant transformation of hepatocytes]. | 2009 | 1 |
| 20 | 1986 | 29 |
About Junjun Shen
Junjun Shen is a scholar working on Biochemistry, Pharmacology, Internal Medicine, Cancer Research and Developmental Neuroscience, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include Cardiovascular and Diving-Related Complications (4 papers), Ferroptosis and cancer prognosis (2 papers), Cholesterol and Lipid Metabolism (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Cancer-related molecular mechanisms research (2 papers), Aortic Disease and Treatment Approaches (2 papers), Congenital Heart Disease Studies (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Biochemistry (39 citations), Nutrition and Dietetics (82 citations), Complementary and alternative medicine (41 citations), Periodontics (18 citations) and Cancer Research (55 citations). Junjun Shen has collaborated with scholars based in China, Belgium and United Kingdom. Frequent co-authors include Feijun Luo, Qinlu Lin, Tao Yang, Ying Nie, Limin Shi, Yiping Tang, Ying Liang, Xinhua Li, Yi Luo and Ting Guo. Their work appears in journals such as Food & Function, iScience, Nutrients, World Neurosurgery and JNCI Journal of the National Cancer Institute.
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.