Mei Ni

1.4k total citations
70 papers, 1.1k citations indexed

About

Mei Ni is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Surgery. According to data from OpenAlex, Mei Ni has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 15 papers in Immunology and 13 papers in Surgery. Recurrent topics in Mei Ni's work include Atherosclerosis and Cardiovascular Diseases (8 papers), Coronary Interventions and Diagnostics (7 papers) and Lipid metabolism and disorders (5 papers). Mei Ni is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (8 papers), Coronary Interventions and Diagnostics (7 papers) and Lipid metabolism and disorders (5 papers). Mei Ni collaborates with scholars based in China, South Korea and Thailand. Mei Ni's co-authors include Yun Zhang, Xiaoling Gao, Xinguo Jiang, Jun Chen, Mei Zhang, Mei Dong, Qizhi Zhang, Songlei Zhou, Jun Chen and Xiaoling Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Mei Ni

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Ni China 19 339 271 172 155 109 70 1.1k
Gianluca Grassia Italy 25 557 1.6× 550 2.0× 100 0.6× 153 1.0× 177 1.6× 38 1.4k
Suli Zhang China 21 427 1.3× 154 0.6× 229 1.3× 181 1.2× 123 1.1× 85 1.2k
Yumiko Hori Japan 20 505 1.5× 141 0.5× 63 0.4× 257 1.7× 91 0.8× 91 1.4k
Yuan Du China 24 781 2.3× 180 0.7× 237 1.4× 171 1.1× 71 0.7× 68 1.5k
Qiunong Guan Canada 22 442 1.3× 294 1.1× 43 0.3× 249 1.6× 97 0.9× 61 1.3k
Kengo Tomita Japan 25 444 1.3× 302 1.1× 113 0.7× 99 0.6× 222 2.0× 64 1.2k
Kentaro Kajiya Japan 21 784 2.3× 167 0.6× 71 0.4× 369 2.4× 60 0.6× 33 2.3k
Litai Jin China 23 1.0k 3.0× 109 0.4× 168 1.0× 160 1.0× 230 2.1× 81 1.8k
Weitao Cong China 24 1.0k 3.0× 127 0.5× 138 0.8× 163 1.1× 233 2.1× 79 1.8k
Linghong Shen China 22 451 1.3× 227 0.8× 168 1.0× 193 1.2× 142 1.3× 73 1.2k

Countries citing papers authored by Mei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Mei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Ni. A scholar is included among the top collaborators of Mei 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 Mei Ni. Mei 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.
Zhou, Songlei, Yukun Huang, Yu Chen, et al.. (2023). Reprogramming systemic and local immune function to empower immunotherapy against glioblastoma. Nature Communications. 14(1). 435–435. 49 indexed citations
3.
Huang, Yukun, Yu Chen, Songlei Zhou, et al.. (2023). Synthetically Lethal Biomimetic Nutri-hijacker Hitchhikes and Reprograms KRAS Mutation-Driven Metabolic Addictions for Pancreatic Ductal Adenocarcinoma Treatment. ACS Nano. 17(14). 14014–14031. 9 indexed citations
4.
Chen, Wenqiang, Mei Ni, He Huang, et al.. (2023). Chinese expert consensus on the diagnosis and treatment of coronary microvascular diseases (2023 Edition). SHILAP Revista de lepidopterología. 4(6). e438–e438. 24 indexed citations
5.
Jiang, Tianze, Songlei Zhou, Yipu Liu, et al.. (2022). Metformin and histone deacetylase inhibitor based anti-inflammatory nanoplatform for epithelial-mesenchymal transition suppression and metastatic tumor treatment. Journal of Nanobiotechnology. 20(1). 394–394. 15 indexed citations
6.
Liu, Xiaoling, Jing Ma, Lianyue Ma, et al.. (2018). Overexpression of tissue factor induced atherothrombosis in apolipoprotein E−/− mice via both enhanced plaque thrombogenicity and plaque instability. Journal of Molecular and Cellular Cardiology. 127. 1–10. 12 indexed citations
7.
Zhang, Jing, et al.. (2018). High-risk pulmonary embolism assessed by transthoracic echocardiography. Medicine. 97(18). e0545–e0545. 2 indexed citations
8.
Wen, Hao, Minghao Liu, Zhaoqiang Liu, et al.. (2017). PEDF improves atherosclerotic plaque stability by inhibiting macrophage inflammation response. International Journal of Cardiology. 235. 37–41. 35 indexed citations
9.
Zhang, Xue, Minghao Liu, Lei Qiao, et al.. (2017). Ginsenoside Rb1 enhances atherosclerotic plaque stability by skewing macrophages to the M2 phenotype. Journal of Cellular and Molecular Medicine. 22(1). 409–416. 86 indexed citations
10.
Ni, Mei, et al.. (2015). [Molecular Detection of Giardia lamblia and Cryptosporidium Species in Pet Dogs].. PubMed. 33(5). 362–7. 10 indexed citations
11.
Liu, Xiaoling, Mei Ni, Lianyue Ma, et al.. (2015). Targeting blood thrombogenicity precipitates atherothrombotic events in a mouse model of plaque destabilization. Scientific Reports. 5(1). 10225–10225. 14 indexed citations
12.
Hou, Nan, Di Zhao, Ying Liu, et al.. (2012). Increased expression of T cell immunoglobulin- and mucin domain-containing molecule-3 on natural killer cells in atherogenesis. Atherosclerosis. 222(1). 67–73. 33 indexed citations
13.
Hu, Qing, et al.. (2010). Survey of Cancer Pain and Its Treatment. Zhongliu fangzhi yanjiu. 37(12). 1433–1435. 2 indexed citations
14.
Yang, Jian, Yan Wang, Ying Wang, et al.. (2010). Combinatorial interference of toll-like receptor 2 and 4 synergistically stabilizes atherosclerotic plaque in apolipoprotein E-knockout mice. Journal of Cellular and Molecular Medicine. 15(3). 602–611. 14 indexed citations
15.
Wang, Ying, Fei Gao, Cheng Zhang, et al.. (2009). Enhanced Stabilization of Atherosclerotic Plaques in Apolipoprotein E-Knockout Mice by Combinatorial Toll-like Receptor-1 and -2 Gene Silencing. Human Gene Therapy. 20(7). 739–750. 14 indexed citations
16.
Jiang, Shi-liang, Xiaoping Ji, Yong Wang, et al.. (2008). [Impact of gender on in-hospital death in hospitalized patients with acute myocardial infarction].. PubMed. 36(7). 590–3. 3 indexed citations
17.
Ni, Mei, et al.. (2007). Micro-ultrasound imaging assessment of carotid plaque characteristics in apolipoprotein-E knockout mice. Atherosclerosis. 197(1). 64–71. 34 indexed citations
18.
19.
Chen, Jun, Xinguo Jiang, Wenming Jiang, et al.. (2004). High-performance liquid chromatographic analysis of zolmitriptan in human plasma using fluorescence detection. Journal of Pharmaceutical and Biomedical Analysis. 35(3). 639–645. 41 indexed citations
20.
Chen, Jun, Xinguo Jiang, Wenming Jiang, et al.. (2004). Liquid chromatographic method for the determination of rizatriptan in human plasma. Journal of Chromatography B. 805(1). 169–173. 36 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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