Ruirui Liang

510 total citations
21 papers, 333 citations indexed

About

Ruirui Liang is a scholar working on Molecular Biology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Ruirui Liang has authored 21 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Agronomy and Crop Science and 5 papers in Infectious Diseases. Recurrent topics in Ruirui Liang's work include Animal Disease Management and Epidemiology (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Viral Infections and Vectors (5 papers). Ruirui Liang is often cited by papers focused on Animal Disease Management and Epidemiology (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Viral Infections and Vectors (5 papers). Ruirui Liang collaborates with scholars based in China and United States. Ruirui Liang's co-authors include Bing Niu, Qin Chen, Xin Cao, Huali Jin, Zhiguang Suo, Xiaosheng Qu, Baoshan He, Yi Lu, Qiang Su and Sijing Xia and has published in prestigious journals such as Food Chemistry, Analytica Chimica Acta and Medicine.

In The Last Decade

Ruirui Liang

17 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruirui Liang China 10 127 55 53 38 37 21 333
M. Rafiqul Islam Saudi Arabia 13 72 0.6× 22 0.4× 182 3.4× 16 0.4× 14 0.4× 23 469
Marielena Vogel Saivish Brazil 10 53 0.4× 11 0.2× 16 0.3× 25 0.7× 27 0.7× 27 389
Min-Han Lin Taiwan 10 156 1.2× 23 0.4× 10 0.2× 17 0.4× 6 0.2× 14 522
Mohammad Mahfuz Ali Khan Shawan Bangladesh 10 147 1.2× 8 0.1× 28 0.5× 46 1.2× 8 0.2× 19 352
Abdullah Saleh Al-wajeeh Qatar 10 76 0.6× 14 0.3× 11 0.2× 5 0.1× 5 0.1× 16 346
Yanke Shan China 13 364 2.9× 19 0.3× 280 5.3× 120 3.2× 11 0.3× 33 586
Mina Nabil Kamel Egypt 11 71 0.6× 54 1.0× 6 0.1× 7 0.2× 3 0.1× 24 350
Xiaowen Lv China 10 169 1.3× 14 0.3× 17 0.3× 29 0.8× 4 0.1× 17 345
Rasha Assiri Saudi Arabia 10 83 0.7× 6 0.1× 61 1.2× 112 2.9× 1 0.0× 32 429

Countries citing papers authored by Ruirui Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ruirui Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruirui Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruirui Liang. A scholar is included among the top collaborators of Ruirui Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruirui Liang. Ruirui Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jinmin, et al.. (2025). H-branching DNA nanostructures combined with dual-emitting carbon quantum dots for simultaneous detection of Pb2+ and Cd2+. Microchemical Journal. 209. 112635–112635. 7 indexed citations
2.
Lin, Junhao, Fangquan Chen, Hu Tang, et al.. (2025). CDC26 facilitates ferroptosis through SLC7A11 degradation and cell cycle arrest. Clinical and Experimental Medicine. 26(1). 11–11.
3.
Gan, Ling, Ruirui Liang, Yueqin Li, et al.. (2025). [Clinical and genetic characteristics analysis of two children with comorbidity of two rare genetic diseases].. PubMed. 42(10). 34–40.
4.
Zhang, Jinmin, Zhiguang Suo, Ruirui Liang, et al.. (2024). Label-free ratiometric fluorescence detection of Pb2+via structure-specific fluorescent dyes and dual signal amplification. Analytical Methods. 16(36). 6229–6240. 1 indexed citations
5.
Suo, Zhiguang, Zhen Zhang, Ruirui Liang, et al.. (2024). A bifunctional MXene@PtPd NPs cascade DNAzyme-mediated fluorescence/colorimetric dual-mode biosensor for Pb2+ determination. Food Chemistry. 464(Pt 3). 141845–141845. 17 indexed citations
6.
7.
8.
Suo, Zhiguang, Ruirui Liang, Min Wei, et al.. (2022). A convenient paper-based fluorescent aptasensor for high-throughput detection of Pb2+ in multiple real samples (water-soil-food). Analytica Chimica Acta. 1239. 340714–340714. 42 indexed citations
9.
Zhang, Hui, et al.. (2022). Assessing the export trade risk of bluetongue virus serotypes 4 and 8 in France. Risk Analysis. 43(6). 1124–1136. 4 indexed citations
10.
Liang, Ruirui, Qiaoling Yang, Hui Zhang, et al.. (2022). Epidemiologic and import risk analysis of Peste des petits ruminants between 2010 and 2018 in India. BMC Veterinary Research. 18(1). 419–419. 2 indexed citations
11.
Zhang, Shuhong, et al.. (2021). Prevalence of Antibiotic Resistance Genes, Heavy Metal Resistance Genes and the Class 1 Integron Gene in Well Water and Tap Water Samples from Four Cities in Henan Province, China. Bulletin of Environmental Contamination and Toxicology. 106(4). 700–706. 8 indexed citations
12.
Wang, Jianying, Jiahui Chen, Minjia Wang, et al.. (2021). Risk assessment and integrated surveillance of foot-and-mouth disease outbreaks in Russia based on Monte Carlo simulation. BMC Veterinary Research. 17(1). 268–268. 3 indexed citations
13.
Niu, Bing, Ruirui Liang, Qiang Zhang, et al.. (2021). Prediction for Global Peste des Petits Ruminants Outbreaks Based on a Combination of Random Forest Algorithms and Meteorological Data. Frontiers in Veterinary Science. 7. 570829–570829. 19 indexed citations
14.
Niu, Bing, Ruirui Liang, Xiaodong Sun, et al.. (2021). Spatiotemporal characteristics analysis and potential distribution prediction of peste des petits ruminants (PPR) in China from 2007–2018. Transboundary and Emerging Diseases. 69(5). 2747–2763. 13 indexed citations
15.
Niu, Bing, Ruirui Liang, Hui Zhang, et al.. (2020). Epidemic analysis of COVID‐19 in Italy based on spatiotemporal geographic information and Google Trends. Transboundary and Emerging Diseases. 68(4). 2384–2400. 18 indexed citations
16.
Chen, Jiahui, Jianying Wang, Minjia Wang, et al.. (2020). Retrospect and Risk Analysis of Foot-and-Mouth Disease in China Based on Integrated Surveillance and Spatial Analysis Tools. Frontiers in Veterinary Science. 6. 511–511. 18 indexed citations
17.
Liang, Ruirui, Chi Zhang, Mengying Zhang, et al.. (2019). Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components. Current Topics in Medicinal Chemistry. 19(25). 2301–2317. 27 indexed citations
18.
Zhao, Manman, Ruirui Liang, Qin Chen, et al.. (2019). A Study of the Mechanism of Binding between Neratinib and MAD2L1 Based on Molecular Simulation and Multi-spectroscopy Methods. Current Pharmaceutical Design. 25(40). 4287–4295. 3 indexed citations
19.
Liang, Ruirui, Yi Lu, Xiaosheng Qu, et al.. (2019). Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data. Transboundary and Emerging Diseases. 67(2). 935–946. 73 indexed citations
20.
Liang, Ruirui, et al.. (2019). Progress in Target Drug Molecules for Alzheimer's Disease. Current Topics in Medicinal Chemistry. 20(1). 4–36. 38 indexed citations

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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