Jun Weng
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
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- RNA modifications and cancer 4
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 7
- Co-authors
- Yi Gao (13 shared papers)Liwei Xiong (6 shared papers)Fanhong Zeng (11 shared papers)Ruifu Zhang (2 shared papers)Qirong Shen (2 shared papers)Juan Li (1 shared paper)Yang Wang (1 shared paper)Li Su (3 shared papers)
- Journals
- International Journal of Biological Macromolecules (4 papers)BioMed Research International (3 papers)Frontiers in Cell and Developmental Biology (2 papers)International Journal of Biological Sciences (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Weng
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Hepatology 192
- Cancer Research 164
- Molecular Biology 460
- Materials Chemistry 236
- Immunology 107
Countries citing papers authored by Jun Weng
This map shows the geographic impact of Jun Weng'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 Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Weng more than expected).
Fields of papers citing papers by Jun Weng
This network shows the impact of papers produced by Jun Weng. 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 Weng. The network helps show where Jun Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Weng, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2012 | 94 | |
| 3 | 2019 | 88 | |
| 4 | 2020 | 77 | |
| 5 | 2011 | 66 | |
| 6 | 2012 | 53 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 48 | |
| 9 | 2017 | 46 | |
| 10 | 2012 | 35 | |
| 11 | 2019 | 34 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2013 | 28 | |
| 15 | 2021 | 27 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 16 |
About Jun Weng
Jun Weng is a scholar working on Molecular Biology, Cancer Research, Hepatology, Materials Chemistry and Epidemiology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Diamond and Carbon-based Materials Research (5 papers), Metal and Thin Film Mechanics (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers), RNA modifications and cancer (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Hepatology (192 citations), Cancer Research (164 citations), Molecular Biology (460 citations), Materials Chemistry (236 citations) and Immunology (107 citations). Jun Weng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi Gao, Liwei Xiong, Fanhong Zeng, Ruifu Zhang, Qirong Shen, Juan Li, Yang Wang, Li Su, Xu Han and Min Zeng. Their work appears in journals such as International Journal of Biological Macromolecules, BioMed Research International, Frontiers in Cell and Developmental Biology, International Journal of Biological Sciences and Journal of Enzyme Inhibition and Medicinal Chemistry.
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.