Ruofei Liang

23 papers receiving 356 citations

Peers

Ruofei Liang
Comparison fields: 5 of 54
  • Genetics 161
  • Cancer Research 94
  • Neurology 56
  • Oncology 78
  • Psychiatry and Mental health 41
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Danielle Golub United States
Marta Perek‐Polnik Poland
Federica Franchino Italy
Dali Sui China
Yahya Ahmadipour Germany
Barbara O’Brien United States
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Citations per year

Countries citing papers authored by Ruofei Liang

Since Specialization
Citations

This map shows the geographic impact of Ruofei Liang'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 Ruofei Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruofei Liang more than expected).

Fields of papers citing papers by Ruofei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruofei Liang. 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 Ruofei Liang. The network helps show where Ruofei Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruofei Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruofei Liang Line = papers co-authored together Ruofei Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201638
3 201330
4
The potential risk factors for atypical and anaplastic meningiomas: clinical series of 1,239 cases.
201427
5 201721
6 201320
7 201918
8 201817
9 201617
10 201717
11 201512
12 201712
13 201911
14 201611
15 201410
16 201810
17
Role of rCBV values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating CNS lymphoma from high grade glioma: a meta-analysis.
20149
18 20178
19
Potential role of fractional anisotropy derived from diffusion tensor imaging in differentiating high-grade gliomas from low-grade gliomas: a meta-analysis.
20146
20 20215

About Ruofei Liang

Ruofei Liang is a scholar working on Genetics, Molecular Biology, Oncology, Cellular and Molecular Neuroscience and Epidemiology, having authored 23 papers that have together received 357 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Meningioma and schwannoma management (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Epilepsy research and treatment (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), MRI in cancer diagnosis (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Genetics (161 citations), Cancer Research (94 citations), Neurology (56 citations), Oncology (78 citations) and Psychiatry and Mental health (41 citations). Ruofei Liang has collaborated with scholars based in China and United States. Frequent co-authors include Liu Yanhui, Qing Mao, Yuan Yang, Li Mao, Junhong Li, Yanhui Liu, Xiang Wang, Yunhe Mao, Qing Mao and Xiang Wang. Their work appears in journals such as Clinical Neurology and Neurosurgery, Seizure, Critical Reviews in Eukaryotic Gene Expression, Epilepsy Research and Annals of Palliative 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.

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