Shanglei Ning
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 11
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Pancreatic function and diabetes 3
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- RNA Research and Splicing 2
- Fibroblast Growth Factor Research 2
- Co-authors
- Yunfei Xu (8 shared papers)Yuxiong Feng (1 shared paper)Geoffrey J. Markowitz (1 shared paper)Yunfei Yuan (1 shared paper)Jiang‐Sha Zhao (1 shared paper)Shan Jiang (1 shared paper)Pengyuan Yang (1 shared paper)Yuezhen Deng (1 shared paper)
- Journals
- British Journal of Pharmacology (2 papers)Frontiers in Pharmacology (1 paper)Cell Research (1 paper)Cell Metabolism (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Shanglei Ning
28 papers receiving 1.2k citations
Shanglei Ning's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 319
- Hepatology 96
- Oncology 252
- Molecular Biology 596
- Immunology 164
Countries citing papers authored by Shanglei Ning
This map shows the geographic impact of Shanglei Ning'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 Shanglei Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanglei Ning more than expected).
Fields of papers citing papers by Shanglei Ning
This network shows the impact of papers produced by Shanglei Ning. 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 Shanglei Ning. The network helps show where Shanglei Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Shanglei Ning, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TGF-β-miR-34a-CCL22 Signaling-Induced Treg Cell Recruitment Promotes Venous Metastases of HBV-Positive Hepatocellular Carcinoma Hit paper breakdown → | 2012 | 464 |
| 2 | 2014 | 81 | |
| 3 | 2016 | 75 | |
| 4 | 2014 | 68 | |
| 5 | 2018 | 66 | |
| 6 | 2017 | 56 | |
| 7 | 2022 | 43 | |
| 8 | 2018 | 36 | |
| 9 | 2012 | 34 | |
| 10 | 2015 | 33 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 32 | |
| 13 | 2013 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2014 | 29 | |
| 16 | 2010 | 25 | |
| 17 | 2020 | 13 | |
| 18 | 2016 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2023 | 10 |
About Shanglei Ning
Shanglei Ning is a scholar working on Surgery, Molecular Biology, Cancer Research, Oncology and Genetics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer-related molecular mechanisms research (3 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (2 papers), Galectins and Cancer Biology (2 papers), Diabetes and associated disorders (2 papers), RNA Research and Splicing (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (319 citations), Hepatology (96 citations), Oncology (252 citations), Molecular Biology (596 citations) and Immunology (164 citations). Shanglei Ning has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Yunfei Xu, Yuxiong Feng, Geoffrey J. Markowitz, Yunfei Yuan, Jiang‐Sha Zhao, Shan Jiang, Pengyuan Yang, Yuezhen Deng, Qi-Jing Li and Dong Xie. Their work appears in journals such as British Journal of Pharmacology, Frontiers in Pharmacology, Cell Research, Cell Metabolism and Biochemical and Biophysical Research Communications.
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.