Jun Yu
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- DNA and Nucleic Acid Chemistry 6
- Oncology 44
- Metal complexes synthesis and properties 26
- Chemokine receptors and signaling 7
- Co-authors
- Philip Beale (34 shared papers)Fazlul Huq (25 shared papers)Fazlul Huq (14 shared papers)Yi Wang (10 shared papers)Yongjian Xu (9 shared papers)Weining Xiong (10 shared papers)Qiurong Ruan (11 shared papers)Ling Feng (8 shared papers)
- Journals
- Placenta (5 papers)Gastroenterology (5 papers)Materials Letters (3 papers)Medicine (3 papers)Theranostics (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Yu
135 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 129
- Molecular Medicine 136
- Cancer Research 369
- Oncology 558
- Toxicology 63
- Pharmacology 286
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-authors
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
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 158 | |
| 2 | 2018 | 111 | |
| 3 | 2005 | 96 | |
| 4 | 2010 | 95 | |
| 5 | 2017 | 88 | |
| 6 | 2020 | 77 | |
| 7 | 2011 | 75 | |
| 8 | 2020 | 70 | |
| 9 | 2014 | 67 | |
| 10 | 2006 | 65 | |
| 11 | 2006 | 64 | |
| 12 | 2011 | 59 | |
| 13 | Synergism from sequenced combinations of curcumin and epigallocatechin-3-gallate with cisplatin in the killing of human ovarian cancer cells. | 2011 | 59 |
| 14 | 2016 | 56 | |
| 15 | 2020 | 56 | |
| 16 | 2006 | 55 | |
| 17 | 2006 | 53 | |
| 18 | Curcumin induces apoptosis involving bax/bcl-2 in human hepatoma SMMC-7721 cells. | 2011 | 53 |
| 19 | 2021 | 47 | |
| 20 | 2017 | 47 |
About Jun Yu
Jun Yu is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (26 papers), Ferrocene Chemistry and Applications (19 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), ZnO doping and properties (8 papers), Chemokine receptors and signaling (7 papers), Curcumin's Biomedical Applications (6 papers), DNA and Nucleic Acid Chemistry (6 papers) and Pregnancy and preeclampsia studies (5 papers). The work is most often cited by research in Molecular Medicine (136 citations), Cancer Research (369 citations), Oncology (558 citations), Toxicology (63 citations) and Pharmacology (286 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, Qinglong Guo and Xiaotang Wang. Their work appears in journals such as Placenta, Gastroenterology, Materials Letters, Medicine and Theranostics.
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.