Liang Ni

607 total citations
32 papers, 335 citations indexed

About

Liang Ni is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Liang Ni has authored 32 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Liang Ni's work include HIV-related health complications and treatments (6 papers), Blood Pressure and Hypertension Studies (4 papers) and HIV/AIDS Research and Interventions (4 papers). Liang Ni is often cited by papers focused on HIV-related health complications and treatments (6 papers), Blood Pressure and Hypertension Studies (4 papers) and HIV/AIDS Research and Interventions (4 papers). Liang Ni collaborates with scholars based in China, United States and Philippines. Liang Ni's co-authors include Hu Y, Lingfei Jiang, Lin Wu, Wei Chen, Lulu Tan, Hongling Qin, Lin Wu, Xingfeng Li, Minghui Liang and Wei Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Liang Ni

28 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Ni China 10 119 82 64 49 41 32 335
Zhiheng Sun China 13 201 1.7× 65 0.8× 58 0.9× 42 0.9× 18 0.4× 22 405
Lin Song China 10 198 1.7× 70 0.9× 34 0.5× 17 0.3× 31 0.8× 28 421
Xuejiao Wang China 13 125 1.1× 43 0.5× 59 0.9× 15 0.3× 34 0.8× 56 379
Lili Yu China 13 174 1.5× 52 0.6× 47 0.7× 34 0.7× 18 0.4× 27 398
Charlotte Jouvène United States 9 90 0.8× 19 0.2× 40 0.6× 36 0.7× 29 0.7× 11 339
David R. Price United States 6 219 1.8× 39 0.5× 64 1.0× 16 0.3× 66 1.6× 8 427
Jin Dong China 12 177 1.5× 51 0.6× 61 1.0× 10 0.2× 26 0.6× 30 414

Countries citing papers authored by Liang Ni

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ni. A scholar is included among the top collaborators of Liang 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 Liang Ni. Liang 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.
An, Jaejin, Heidi Fischer, Liang Ni, et al.. (2025). Development and Validation of an Incident Hypertension Risk Prediction Model for Young Adults. Journal of the American Heart Association. 14(14). e040769–e040769.
2.
3.
An, Jaejin, Teresa N. Harrison, Liang Ni, et al.. (2025). Factors Associated with Treatment Intensification for Uncontrolled Hypertension in a US Health System. Journal of General Internal Medicine. 1 indexed citations
4.
Li, Jialu, Liang Wu, Hongyuan Liang, et al.. (2024). Exploration of common pathogenesis and candidate hub genes between HIV and monkeypox co-infection using bioinformatics and machine learning. Scientific Reports. 14(1). 26701–26701. 1 indexed citations
5.
An, Jaejin, Heidi Fischer, Liang Ni, et al.. (2024). Association Between Young Adult Characteristics and Blood Pressure Trajectories. Journal of the American Heart Association. 13(8). e033053–e033053. 3 indexed citations
6.
Ni, Liang, Zhihai Cao, Wei Zhang, et al.. (2024). Evaluating Drug Interactions between Ritonavir and Opioid Analgesics: Implications from Physiologically Based Pharmacokinetic Simulation. Pharmaceuticals. 17(5). 640–640. 3 indexed citations
7.
Li, Jialu, Ying Liu, Liang Wu, et al.. (2024). Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study. Frontiers in Public Health. 11. 1282324–1282324. 4 indexed citations
8.
Ni, Liang, Zekun Li, Jie Sun, et al.. (2024). A systematic review on heavy metals in indoor air: Occurrence, spatial variation, and health risk. Building and Environment. 269. 112357–112357. 2 indexed citations
9.
Zheng, Liang, Wei Zhang, Klaus T. Olkkola, et al.. (2024). Physiologically based pharmacokinetic modeling of ritonavir-oxycodone drug interactions and its implication for dosing strategy. European Journal of Pharmaceutical Sciences. 194. 106697–106697. 6 indexed citations
10.
Chen, Wei, et al.. (2023). Association of C‐reactive protein gene polymorphisms with the risk of ischemic stroke: A systematic review and meta‐analysis. Brain and Behavior. 13(6). e2976–e2976. 2 indexed citations
11.
Ni, Liang, Liang Zheng, Yueyue Liu, et al.. (2023). Physiologically Based Pharmacokinetic Modeling to Simulate CYP3A4-Mediated Drug-Drug Interactions for Pyrotinib. Advances in Therapy. 40(10). 4310–4320. 3 indexed citations
12.
Y, Hu, Lin Wu, Lingfei Jiang, et al.. (2021). Notoginsenoside R2 reduces Aβ25-35-induced neuronal apoptosis and inflammation via miR-27a/SOX8/β-catenin axis. Human & Experimental Toxicology. 40(12_suppl). S347–S358. 14 indexed citations
13.
Wang, Fang, Xiang Pan, Hongxin Zhao, et al.. (2021). A retrospective study of distribution of HIV associated malignancies among inpatients from 2007 to 2020 in China. Scientific Reports. 11(1). 24353–24353. 8 indexed citations
14.
Chen, Wei, Lin Wu, Hu Y, et al.. (2020). MicroRNA-107 Ameliorates Damage in a Cell Model of Alzheimer’s Disease by Mediating the FGF7/FGFR2/PI3K/Akt Pathway. Journal of Molecular Neuroscience. 70(10). 1589–1597. 31 indexed citations
15.
Alese, Olatunji B., Renjian Jiang, Walid L. Shaib, et al.. (2020). Young Adults With Pancreatic Cancer. Pancreas. 49(3). 341–354. 15 indexed citations
16.
Chen, Wei, Lingfei Jiang, Hu Y, et al.. (2020). Ferritin reduction is essential for cerebral ischemia-induced hippocampal neuronal death through p53/SLC7A11-mediated ferroptosis. Brain Research. 1752. 147216–147216. 65 indexed citations
17.
Y, Hu, Wei Chen, Lin Wu, et al.. (2018). TGF-β1 Restores Hippocampal Synaptic Plasticity and Memory in Alzheimer Model via the PI3K/Akt/Wnt/β-Catenin Signaling Pathway. Journal of Molecular Neuroscience. 67(1). 142–149. 58 indexed citations
18.
Liu, Tai, et al.. (2016). A meta‐analysis of three identified single nucleotide polymorphisms at 1p13.3 and 1q41 and their associations with lipid levels and coronary artery disease. The Kaohsiung Journal of Medical Sciences. 33(1). 1–10. 4 indexed citations
19.
Ni, Liang, Xue Yu, Qiaoling Yu, Xijing Chen, & Lee Jia. (2008). Effects of Cyclosporine A and Itraconazole on Permeability, Biliary Excretion and Pharmacokinetics of Amlidipine. Drug Metabolism Letters. 2(3). 163–168. 10 indexed citations
20.
Chen, Xijing, Bing Yang, Liang Ni, & Guangji Wang. (2006). Simultaneous analysis of thiamphenicol and its prodrug thiamphenicol glycinate in human plasma and urine by high performance liquid chromatography: Application to pharmacokinetic study. Journal of Pharmaceutical and Biomedical Analysis. 41(3). 943–949. 9 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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