Jinru Wei
Impact in
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- Immunotherapy and Immune Responses
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- Cancer-related molecular mechanisms research
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
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- Cardiovascular Function and Risk Factors 2
- Antiplatelet Therapy and Cardiovascular Diseases 2
- Co-authors
- Guangnan Liu (1 shared paper)Minchao Duan (1 shared paper)Xiaoning Zhong (1 shared paper)Donghua Zou (3 shared papers)Guo‐Xiong Deng (6 shared papers)Jieming Mao (2 shared papers)Xian Wang (2 shared papers)Guang Wang (2 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (2 papers)Aging (1 paper)Clinical Interventions in Aging (1 paper)PPAR Research (1 paper)Infectious Diseases of Poverty (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jinru Wei
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 70
- Immunology 76
- Cancer Research 45
- Infectious Diseases 39
- Neurology 31
- Molecular Biology 123
Countries citing papers authored by Jinru Wei
This map shows the geographic impact of Jinru Wei'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 Jinru Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinru Wei more than expected).
Fields of papers citing papers by Jinru Wei
This network shows the impact of papers produced by Jinru Wei. 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 Jinru Wei. The network helps show where Jinru Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinru Wei, 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 | 2014 | 73 | |
| 2 | 2005 | 53 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2013 | 13 | |
| 8 | 2013 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2016 | 5 | |
| 13 | RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis | 2022 | 3 |
| 14 | 2008 | 3 | |
| 15 | 2025 | 1 |
About Jinru Wei
Jinru Wei is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Ferroptosis and cancer prognosis (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), MicroRNA in disease regulation (2 papers), Cardiovascular Function and Risk Factors (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Immunology (76 citations), Cancer Research (45 citations), Infectious Diseases (39 citations), Neurology (31 citations) and Molecular Biology (123 citations). Jinru Wei has collaborated with scholars based in China and United States. Frequent co-authors include Guangnan Liu, Minchao Duan, Xiaoning Zhong, Donghua Zou, Guo‐Xiong Deng, Jieming Mao, Xian Wang, Guang Wang, Youfei Guan and Nan Jin. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Aging, Clinical Interventions in Aging, PPAR Research and Infectious Diseases of Poverty.
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.