Liyan Ni

596 total citations
34 papers, 411 citations indexed

About

Liyan Ni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Ecology. According to data from OpenAlex, Liyan Ni has authored 34 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Ecology. Recurrent topics in Liyan Ni's work include Vasculitis and related conditions (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Renal Diseases and Glomerulopathies (5 papers). Liyan Ni is often cited by papers focused on Vasculitis and related conditions (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Renal Diseases and Glomerulopathies (5 papers). Liyan Ni collaborates with scholars based in China, United States and Switzerland. Liyan Ni's co-authors include Xiaoxia Pan, Yongxi Chen, Xiaonong Chen, Nan Chen, Hong Ren, Pingyan Shen, Jing Xu, Yaowen Xu, Wen Zhang and Weiming Wang and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Gene.

In The Last Decade

Liyan Ni

31 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyan Ni China 12 185 117 92 91 78 34 411
Katarzyna Jobin Germany 8 19 0.1× 35 0.3× 37 0.4× 111 1.2× 22 0.3× 9 305
Alexander Hoffmann Austria 9 41 0.2× 24 0.2× 6 0.1× 62 0.7× 66 0.8× 14 310
Huub Jorna Netherlands 9 324 1.8× 52 0.4× 5 0.1× 225 2.5× 28 0.4× 9 517
Yinghua Su China 13 30 0.2× 15 0.1× 52 0.6× 281 3.1× 32 0.4× 25 650
Jingping Yang China 12 54 0.3× 87 0.7× 4 0.0× 87 1.0× 17 0.2× 28 371
Marianna Truman-Rosentsvit Israel 6 48 0.3× 23 0.2× 4 0.0× 139 1.5× 73 0.9× 7 425
Neusa Pereira da Silva Brazil 10 41 0.2× 21 0.2× 22 0.2× 66 0.7× 17 0.2× 20 338
Daniel S. Oppenheim United States 11 20 0.1× 24 0.2× 19 0.2× 406 4.5× 25 0.3× 14 815
Fawaz Awad France 8 31 0.2× 28 0.2× 32 0.3× 290 3.2× 9 0.1× 10 472
Fariel Dif France 9 88 0.5× 32 0.3× 4 0.0× 118 1.3× 18 0.2× 9 362

Countries citing papers authored by Liyan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Liyan Ni. A scholar is included among the top collaborators of Liyan Ni 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 Liyan Ni. Liyan Ni 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.
Xie, Yinyin, Yan Shen, Liyan Ni, et al.. (2025). NLRP3 inflammasome activity and pyroptosis are involved in CD206<sup>+</sup> macrophage activation by MPO anti-neutrophil cytoplasmic antibodies. Acta Biochimica et Biophysica Sinica. 57(11). 1791–1802.
2.
Wang, Xinlu, et al.. (2023). The Role of Renal PLA2R Staining Combined with Serum PLA2R Antibody in Membranous Nephropathy Risk Stratification. Journal of Clinical Medicine. 13(1). 68–68. 1 indexed citations
3.
Ma, Hongkun, Chongjian Wang, Kexin Jin, et al.. (2023). Persistently elevated sFlt-1 and recovery of reduced ADAMTS13 activity in malignant hypertension. Journal of Hypertension. 42(3). 410–419.
4.
5.
Xie, Yinyin, Jing Xu, Yan Shen, et al.. (2022). CD206+CD68+ mono-macrophages and serum soluble CD206 level are increased in antineutrophil cytoplasmic antibodies associated glomerulonephritis. BMC Immunology. 23(1). 55–55. 6 indexed citations
6.
Hu, Binbin, et al.. (2021). Effect of parasympathetic inhibition on expression of ILC2 cells in a mouse model of allergic rhinitis. World Allergy Organization Journal. 14(9). 100582–100582. 9 indexed citations
7.
Wu, Fei, Qing Chen, Yiyi Jiang, et al.. (2019). Comparative genomics analysis of Raoultella planticola S25 isolated from duck in China, with florfenicol resistance. Comparative Immunology Microbiology and Infectious Diseases. 68. 101398–101398. 6 indexed citations
8.
Xu, Lei, Min Yin, Junwan Lu, et al.. (2018). Comparative Genomics Analysis of Plasmid pPV989-94 from a Clinical Isolate ofPantoea vagansPV989. International Journal of Genomics. 2018. 1–9. 3 indexed citations
9.
Lu, Junwan, Jinfang Zhang, Lei Xu, et al.. (2018). Spread of the florfenicol resistance floR gene among clinical Klebsiella pneumoniae isolates in China. Antimicrobial Resistance and Infection Control. 7(1). 127–127. 42 indexed citations
10.
Liu, Xuejun, et al.. (2017). Comparative analysis of cluster versus conventional immunotherapy in patients with allergic rhinitis. Experimental and Therapeutic Medicine. 13(2). 717–722. 4 indexed citations
11.
Pan, Xiaoxia, Yan Ouyang, Zhaohui Wang, et al.. (2016). Genotype: A Crucial but Not Unique Factor Affecting the Clinical Phenotypes in Fabry Disease. PLoS ONE. 11(8). e0161330–e0161330. 31 indexed citations
12.
Chen, Yongxi, Jing Xu, Xiaoxia Pan, et al.. (2016). Histopathological Classification and Renal Outcome in Patients with Antineutrophil Cytoplasmic Antibodies-associated Renal Vasculitis: A Study of 186 Patients and Metaanalysis. The Journal of Rheumatology. 44(3). 304–313. 62 indexed citations
13.
Ying, Jianchao, Songquan Wu, Kaibo Zhang, et al.. (2015). Comparative genomics analysis of pKF3-94 in Klebsiella pneumoniae reveals plasmid compatibility and horizontal gene transfer. Frontiers in Microbiology. 6. 831–831. 11 indexed citations
14.
15.
Ying, Jianchao, Bokan Bao, Ying Zhang, et al.. (2014). Molecular Variation and Horizontal Gene Transfer of the Homocysteine Methyltransferase Gene mmuM and its Distribution in Clinical Pathogens. International Journal of Biological Sciences. 11(1). 11–21. 7 indexed citations
16.
Bai, Jie, Qi Liu, Yang Yang, et al.. (2013). Insights into the evolution of gene organization and multidrug resistance from Klebsiella pneumoniae plasmid pKF3-140. Gene. 519(1). 60–66. 8 indexed citations
17.
Xu, Teng, Jun Ying, Yulong Song, et al.. (2012). Identification and Characterization of Two Novel blaKLUC Resistance Genes through Large-Scale Resistance Plasmids Sequencing. PLoS ONE. 7(10). e47197–e47197. 5 indexed citations
18.
Chen, Yongxi, Wen Zhang, Xiaonong Chen, et al.. (2012). Propylthiouracil-induced Antineutrophil Cytoplasmic Antibody (ANCA)-associated Renal Vasculitis Versus Primary ANCA-associated Renal Vasculitis: A Comparative Study. The Journal of Rheumatology. 39(3). 558–563. 28 indexed citations
19.
Chen, Yongxi, Wen Zhang, Hong Ren, et al.. (2008). Analyzing Fatal Cases of Chinese Patients with Primary Antineutrophil Cytoplasmic Antibodies-Associated Renal Vasculitis: A 10-Year Retrospective Study. Kidney & Blood Pressure Research. 31(5). 343–349. 34 indexed citations
20.
Ni, Liyan. (2007). Analysis of the single nucleotide polymorphisms (SNPs) of the human Toll-like receptor 4 (TLR4) gene and CD_(14) gene in Chinese Han children in Wenzhou. 1 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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