Li Ni

5.9k total citations
137 papers, 3.7k citations indexed

About

Li Ni is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Li Ni has authored 137 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Pathology and Forensic Medicine and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Li Ni's work include Spine and Intervertebral Disc Pathology (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Parathyroid Disorders and Treatments (8 papers). Li Ni is often cited by papers focused on Spine and Intervertebral Disc Pathology (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Parathyroid Disorders and Treatments (8 papers). Li Ni collaborates with scholars based in China, United States and Poland. Li Ni's co-authors include Dao Wen Wang, G. Miller Jonakait, Quanlu Duan, Chen Chen, Kalpana Joshi, William R. Brown, J.E. Butler, Jeong Ho Chang, Burton J. Rosenberg and Ronald P. Hart and has published in prestigious journals such as Circulation, Neuron and PLoS ONE.

In The Last Decade

Li Ni

134 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Ni China 35 1.4k 479 385 371 324 137 3.7k
Bob Olsson Sweden 38 1.7k 1.2× 319 0.7× 621 1.6× 234 0.6× 385 1.2× 91 5.4k
Jie Liu China 38 1.4k 0.9× 381 0.8× 261 0.7× 625 1.7× 370 1.1× 170 4.1k
Dong Zhou China 44 2.2k 1.5× 538 1.1× 340 0.9× 309 0.8× 211 0.7× 107 5.5k
Kazem Zibara Lebanon 35 1.9k 1.3× 276 0.6× 243 0.6× 340 0.9× 376 1.2× 147 3.9k
Mark Dallas United Kingdom 37 2.9k 2.0× 423 0.9× 229 0.6× 192 0.5× 217 0.7× 101 5.5k
Mei Zhao China 40 1.9k 1.3× 320 0.7× 288 0.7× 282 0.8× 281 0.9× 134 4.5k
Takayuki Maruyama Japan 41 2.3k 1.6× 472 1.0× 250 0.6× 287 0.8× 275 0.8× 171 6.4k
Lucia Formigli Italy 41 3.9k 2.7× 629 1.3× 212 0.6× 289 0.8× 300 0.9× 113 6.7k
Yoshitaka Hayashi Japan 41 2.2k 1.5× 733 1.5× 229 0.6× 430 1.2× 287 0.9× 251 5.2k
Wenying Wang China 31 1.9k 1.3× 405 0.8× 156 0.4× 206 0.6× 316 1.0× 191 4.7k

Countries citing papers authored by Li Ni

Since Specialization
Citations

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

Fields of papers citing papers by Li Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Li Ni. A scholar is included among the top collaborators of Li 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 Li Ni. Li 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.
2.
Keefe, Joshua A., Jian Wang, Jiangping Song, Li Ni, & Xander H.T. Wehrens. (2025). Immune cells and arrhythmias. Cardiovascular Research. 121(3). 382–395. 3 indexed citations
3.
Ni, Li, Xin Tian, Yujie Shen, et al.. (2025). Esterase-responsive kartogenin composite hydrogel microspheres boost nucleus pulposus regeneration in intervertebral disc degeneration. Acta Biomaterialia. 198. 131–150. 2 indexed citations
4.
Ni, Li & Yinshui Xia. (2024). Movie recommendation based on ALS collaborative filtering recommendation algorithm with deep learning model. Entertainment Computing. 51. 100715–100715. 6 indexed citations
5.
6.
Sibrian‐Vazquez, Martha, José Alberto Navarro‐García, Satadru K. Lahiri, et al.. (2024). Structure-activity optimization of ryanodine receptor modulators for the treatment of catecholaminergic polymorphic ventricular tachycardia. Heart Rhythm. 22(7). e192–e204. 2 indexed citations
7.
Zhu, Can, Yuanyuan Zhao, Huan Zhao, et al.. (2023). TIL-Derived CAR T Cells Improve Immune Cell Infiltration and Survival in the Treatment of CD19-Humanized Mouse Colorectal Cancer. Cancers. 15(23). 5567–5567. 4 indexed citations
8.
Ni, Li, Huaizhou You, Mengjing Wang, Jing Qian, & Jing Chen. (2022). Bromodeoxyuridine Methodology for Labeling Renal Stem Cells During Kidney Development of Mice. Stem Cells and Development. 31(7-8). 195–206.
9.
Ni, Li, Satadru K. Lahiri, Jiali Nie, et al.. (2021). Genetic inhibition of nuclear factor of activated T-cell c2 prevents atrial fibrillation in CREM transgenic mice. Cardiovascular Research. 118(13). 2805–2818. 18 indexed citations
10.
Chitturi, Jyothsna, Basavaraju G. Sanganahalli, Péter Hermán, et al.. (2020). Association Between Magnetic Resonance Imaging-Based Spinal Morphometry and Sensorimotor Behavior in a Hemicontusion Model of Incomplete Cervical Spinal Cord Injury in Rats. Brain Connectivity. 10(9). 479–489. 5 indexed citations
11.
Chen, Song, Qin Yin, Dunfeng Du, et al.. (2020). A familial cluster, including a kidney transplant recipient, of Coronavirus Disease 2019 (COVID-19) in Wuhan, China. American Journal of Transplantation. 20(7). 1869–1874. 43 indexed citations
12.
Veronese, Giacomo, Enrico Ammirati, Chen Chen, et al.. (2020). Management perspectives from the 2019 Wuhan international workshop on fulminant myocarditis. International Journal of Cardiology. 324. 131–138. 18 indexed citations
13.
Li, Kun, Jun Du, Lixin Huang, et al.. (2017). The diagnostic accuracy of magnetic resonance imaging for anterior cruciate ligament injury in comparison to arthroscopy: a meta-analysis. Scientific Reports. 7(1). 7583–7583. 37 indexed citations
14.
Ni, Li, Xiaochen Liu, Kyle R. Sochacki, et al.. (2014). Effects of hypoxia on differentiation from human placenta-derived mesenchymal stem cells to nucleus pulposus-like cells. The Spine Journal. 14(10). 2451–2458. 27 indexed citations
15.
Duan, Quanlu, Xingxu Wang, Wei Gong, et al.. (2012). ER Stress Negatively Modulates the Expression of the miR-199a/214 Cluster to Regulates Tumor Survival and Progression in Human Hepatocellular Cancer. PLoS ONE. 7(2). e31518–e31518. 129 indexed citations
16.
Ni, Li, et al.. (2011). Effects of PIK3CB gene expression downregulation by RNA interference on the proliferation and apoptosis of colon cancer cell line HCT116. Tumori. 31(1). 22–27. 1 indexed citations
17.
Zhou, Qi, et al.. (2011). Clinical and genetic analysis for two Chinese siblings with 17α-hydroxylase/17,20-lyase deficiency. Gynecological Endocrinology. 28(6). 455–459. 5 indexed citations
18.
Wu, Chaoming, Qi Zhou, Lian Wan, et al.. (2010). Novel homozygous p.R454C mutation in the CYP11B1 gene leads to 11β-hydroxylase deficiency in a Chinese patient. Fertility and Sterility. 95(3). 1122.e3–1122.e6. 13 indexed citations
19.
Fukushima, Kikuro, A. Ramesh, C. R. Srikumari Srisailapathy, et al.. (1995). An autosomal recessive nonsyndromic form of sensorineural hearing loss maps to 3p-DFNB6.. Genome Research. 5(3). 305–308. 42 indexed citations
20.
Ni, Li & G. Miller Jonakait. (1989). Ontogeny of substance P-containing neurons in relation to serotonin-containing neurons in the central nervous system of the mouse. Neuroscience. 30(1). 257–269. 23 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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