Jun Yu
- Cancer Research top 5%
- MicroRNA in disease regulation 7
- Molecular Medicine top 5%
- Oncology top 5%
- Metal complexes synthesis and properties 30
- Chemokine receptors and signaling 9
- Toxicology top 5%
- Pharmacology top 5%
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- Ferrocene Chemistry and Applications 20
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 12
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- Pregnancy and preeclampsia studies 8
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- ZnO doping and properties 8
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- DNA and Nucleic Acid Chemistry 6
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Yu
135 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 442
- Molecular Medicine 141
- Oncology 625
- Toxicology 73
- Pharmacology 334
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Yu. The network helps show where Jun Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 1 | |
| 8 | 2020 | 67 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 45 | |
| 11 | 2013 | 21 | |
| 12 | Studies on combination of platinum drugs cisplatin and oxaliplatin with phytochemicals anethole and curcumin in ovarian tumour models. | 2012 | 38 |
| 13 | 2012 | 20 | |
| 14 | 2011 | 12 | |
| 15 | 2010 | 20 | |
| 16 | 2010 | 12 | |
| 17 | [Effect of silencing myocardin gene expression on differentiation of mouse bone mesenchymal stem cells into smooth muscle-like cells induced by PDGF-BB]. | 2009 | 1 |
| 18 | [Filtrating smooth muscle progenitor cells from mouse bone marrow mesenchymal stem cells by recombinant Psm22alpha-EGFP-1]. | 2007 | 1 |
| 19 | 2007 | 2 | |
| 20 | 2007 | 2 |
About Jun Yu
Jun Yu is a scholar working on Oncology, Molecular Medicine and Obstetrics and Gynecology, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (30 papers), Ferrocene Chemistry and Applications (20 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Chemokine receptors and signaling (9 papers), Pregnancy and preeclampsia studies (8 papers), ZnO doping and properties (8 papers), MicroRNA in disease regulation (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Cancer Research (442 citations), Molecular Medicine (141 citations) and Oncology (625 citations). Jun Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Philip Beale, Fazlul Huq, Fazlul Huq, Yi Wang, Yongjian Xu, Weining Xiong, Qiurong Ruan, Ling Feng, Qidong You and Zhiling Qu. Their work appears in journals such as Gastroenterology, Placenta, Anti-Cancer Drugs, Biomedicine & Pharmacotherapy and Materials Letters.
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.