Yiling Si
Impact in
Papers in
-
- TGF-β signaling in diseases 3
- Metabolism, Diabetes, and Cancer 2
- Genetics 7
- Mesenchymal stem cell research 7
- Co-authors
- Weidong Han (11 shared papers)Xiaobing Fu (6 shared papers)Yali Zhao (6 shared papers)Jiejie Liu (6 shared papers)Yiming Mu (3 shared papers)Haojie Hao (2 shared papers)Yu Cheng (2 shared papers)Zihui Deng (7 shared papers)
- Journals
- Stem Cells (1 paper)Cellular and Molecular Neurobiology (1 paper)Diabetes (1 paper)Nature Communications (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Yiling Si
19 papers receiving 981 citations
Peers
Comparison fields: 5 of 80
- Genetics 446
- Surgery 353
- Neurology 63
- Rehabilitation 40
- Cancer Research 86
Countries citing papers authored by Yiling Si
This map shows the geographic impact of Yiling Si'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 Yiling Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Si more than expected).
Fields of papers citing papers by Yiling Si
This network shows the impact of papers produced by Yiling Si. 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 Yiling Si. The network helps show where Yiling Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 208 | |
| 2 | 2010 | 194 | |
| 3 | 2015 | 125 | |
| 4 | 2016 | 109 | |
| 5 | 2019 | 81 | |
| 6 | 2020 | 52 | |
| 7 | 2013 | 35 | |
| 8 | 2011 | 33 | |
| 9 | 2012 | 27 | |
| 10 | 2013 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2018 | 18 | |
| 13 | FHL2 inhibits the Id3-promoted proliferation and invasive growth of human MCF-7 breast cancer cells. | 2012 | 17 |
| 14 | 2017 | 15 | |
| 15 | 2009 | 15 | |
| 16 | 2009 | 12 | |
| 17 | 2007 | 11 | |
| 18 | [Protective effect of leptin against cerebral ischemia/reperfusion injury in mice]. | 2009 | 2 |
| 19 | [The role of Leptin on neuron apoptosis in mice with cerebral ischemia/reperfusion injury]. | 2011 | 1 |
| 20 | 2016 | 0 |
About Yiling Si
Yiling Si is a scholar working on Molecular Biology, Genetics, Surgery, Neurology and Oncology, having authored 20 papers that have together received 994 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Neurological Disease Mechanisms and Treatments (4 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), TGF-β signaling in diseases (3 papers), Cancer Cells and Metastasis (3 papers), Neurological Disorders and Treatments (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Genetics (446 citations), Surgery (353 citations), Neurology (63 citations), Rehabilitation (40 citations) and Cancer Research (86 citations). Yiling Si has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Weidong Han, Xiaobing Fu, Yali Zhao, Jiejie Liu, Yiming Mu, Haojie Hao, Yu Cheng, Zihui Deng, Jinying Zhang and Yelei Guo. Their work appears in journals such as Stem Cells, Cellular and Molecular Neurobiology, Diabetes, Nature Communications and BMC Cancer.
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.