Linjun Yang
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 4
- Bacterial biofilms and quorum sensing 2
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- Cancer-related molecular mechanisms research 3
- NF-κB Signaling Pathways 2
- Co-authors
- Xiaoyan Jin (6 shared papers)Dajin Zou (1 shared paper)Jie Wu (1 shared paper)Junjie Wu (1 shared paper)Lixin Wei (1 shared paper)Wentao Yang (3 shared papers)Congcong Yu (3 shared papers)Zhijun Hu (2 shared papers)
- Journals
- Burns (2 papers)Pharmacological Research (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Frontiers in Immunology (1 paper)Bioactive Materials (1 paper)
- Partner nations
- ChinaTajikistanGermany
In The Last Decade
Linjun Yang
27 papers receiving 635 citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 86
- Cancer Research 125
- Pharmacology 88
- Pathology and Forensic Medicine 91
- Molecular Biology 275
Countries citing papers authored by Linjun Yang
This map shows the geographic impact of Linjun Yang'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 Linjun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjun Yang more than expected).
Fields of papers citing papers by Linjun Yang
This network shows the impact of papers produced by Linjun Yang. 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 Linjun Yang. The network helps show where Linjun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjun Yang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2021 | 76 | |
| 3 | 2012 | 62 | |
| 4 | 2023 | 54 | |
| 5 | 2022 | 48 | |
| 6 | 2018 | 43 | |
| 7 | 2010 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 24 | |
| 10 | 2010 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2014 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2014 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2023 | 11 | |
| 18 | Effects of GCN2/eIF2α on myocardial ischemia/hypoxia reperfusion and myocardial cells injury. | 2019 | 11 |
| 19 | 2022 | 9 | |
| 20 | 1993 | 7 |
About Linjun Yang
Linjun Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Pharmacology, having authored 27 papers that have together received 638 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial biofilms and quorum sensing (2 papers), Bone Tissue Engineering Materials (2 papers), Burn Injury Management and Outcomes (2 papers), Immune Response and Inflammation (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Molecular Medicine (86 citations), Cancer Research (125 citations), Pharmacology (88 citations), Pathology and Forensic Medicine (91 citations) and Molecular Biology (275 citations). Linjun Yang has collaborated with scholars based in China, Tajikistan and Germany. Frequent co-authors include Xiaoyan Jin, Dajin Zou, Jie Wu, Junjie Wu, Lixin Wei, Wentao Yang, Congcong Yu, Zhijun Hu, Jin Yang and Yong Liang. Their work appears in journals such as Burns, Pharmacological Research, Journal of Cancer Research and Clinical Oncology, Frontiers in Immunology and Bioactive Materials.
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.