Jun Weng
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Liver physiology and pathology 3
- Liver Disease and Transplantation 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Yi Gao (13 shared papers)Fanhong Zeng (12 shared papers)Min Zeng (4 shared papers)Xu Han (3 shared papers)Li Su (2 shared papers)Gongbo Fu (4 shared papers)Xu Han (5 shared papers)Kangyan Liang (5 shared papers)
- Journals
- BioMed Research International (3 papers)Frontiers in Cell and Developmental Biology (2 papers)International Journal of Biological Sciences (2 papers)Molecular Therapy — Nucleic Acids (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Weng
37 papers receiving 792 citations
Peers
Comparison fields: 5 of 70
- Hepatology 153
- Cancer Research 92
- Immunology 76
- Oncology 87
- Molecular Biology 214
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 137 | |
| 2 | 2020 | 96 | |
| 3 | 2012 | 58 | |
| 4 | 2019 | 51 | |
| 5 | 2019 | 39 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 13 |
About Jun Weng
Jun Weng is a scholar working on Hepatology, Cancer Research, Epidemiology, Surgery and Genetics, having authored 41 papers that have together received 804 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cancer-related molecular mechanisms research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cardiac Imaging and Diagnostics (3 papers), Liver physiology and pathology (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Hepatology (153 citations), Cancer Research (92 citations), Immunology (76 citations), Oncology (87 citations) and Molecular Biology (214 citations). Jun Weng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Gao, Fanhong Zeng, Min Zeng, Xu Han, Li Su, Gongbo Fu, Xu Han, Kangyan Liang, Rui Sun and Xianglin Yuan. Their work appears in journals such as BioMed Research International, Frontiers in Cell and Developmental Biology, International Journal of Biological Sciences, Molecular Therapy — Nucleic Acids and Frontiers in Bioengineering and Biotechnology.
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.