Ningna Weng
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Hepatitis Viruses Studies and Epidemiology
- Hepatocellular Carcinoma Treatment and Prognosis
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- Liver Disease Diagnosis and Treatment
Papers in
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- Liver Disease Diagnosis and Treatment 4
- Autophagy in Disease and Therapy 4
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- Epigenetics and DNA Methylation 3
- Hedgehog Signaling Pathway Studies 2
- Co-authors
- Mingshan Jiang (4 shared papers)Xiao Li (1 shared paper)Xuefeng Luo (1 shared paper)Zhu Wang (1 shared paper)Hailong Zhang (1 shared paper)Li Yang (1 shared paper)Qing Zhu (7 shared papers)He Zhao (6 shared papers)
- Journals
- Liver International (2 papers)Journal of Vascular and Interventional Radiology (2 papers)Molecular Oncology (1 paper)Acta Pharmaceutica Sinica B (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ningna Weng
21 papers receiving 267 citations
Peers
Comparison fields: 5 of 68
- Hepatology 138
- Epidemiology 134
- Internal Medicine 7
- Surgery 75
- Cancer Research 21
Countries citing papers authored by Ningna Weng
This map shows the geographic impact of Ningna 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 Ningna Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningna Weng more than expected).
Fields of papers citing papers by Ningna Weng
This network shows the impact of papers produced by Ningna 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 Ningna Weng. The network helps show where Ningna Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningna 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2022 | 32 | |
| 3 | 2015 | 24 | |
| 4 | 2019 | 16 | |
| 5 | 2018 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2012 | 3 | |
| 20 | 2018 | 3 |
About Ningna Weng
Ningna Weng is a scholar working on Epidemiology, Molecular Biology, Hepatology, Oncology and Surgery, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Autophagy in Disease and Therapy (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Hepatology (138 citations), Epidemiology (134 citations), Internal Medicine (7 citations), Surgery (75 citations) and Cancer Research (21 citations). Ningna Weng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mingshan Jiang, Xiao Li, Xuefeng Luo, Zhu Wang, Hailong Zhang, Li Yang, Qing Zhu, He Zhao, Jiaywei Tsauo and Zhe Zhang. Their work appears in journals such as Liver International, Journal of Vascular and Interventional Radiology, Molecular Oncology, Acta Pharmaceutica Sinica B and Journal of Clinical Medicine.
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.