He Lv

1.7k total citations
68 papers, 850 citations indexed

About

He Lv is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, He Lv has authored 68 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 22 papers in Neurology. Recurrent topics in He Lv's work include Hereditary Neurological Disorders (24 papers), Genetic Neurodegenerative Diseases (17 papers) and Peripheral Neuropathies and Disorders (13 papers). He Lv is often cited by papers focused on Hereditary Neurological Disorders (24 papers), Genetic Neurodegenerative Diseases (17 papers) and Peripheral Neuropathies and Disorders (13 papers). He Lv collaborates with scholars based in China, United States and Romania. He Lv's co-authors include Yun Yuan, Zhaoxia Wang, Wei Zhang, Lingchao Meng, Yiming Zheng, Suqin Jin, Jiangxi Xiao, Meng Yu, Daojun Hong and Hong-Jun Hao and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Human Molecular Genetics.

In The Last Decade

He Lv

62 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Lv China 17 396 263 221 183 147 68 850
Hans‐Hilmar Goebel Germany 17 375 0.9× 111 0.4× 144 0.7× 353 1.9× 117 0.8× 44 769
Jie Lin China 17 470 1.2× 191 0.7× 95 0.4× 85 0.5× 52 0.4× 66 827
Miquel Navas‐Madroñal Spain 11 143 0.4× 335 1.3× 217 1.0× 76 0.4× 68 0.5× 13 650
Yalda Nilipour Iran 12 219 0.6× 41 0.2× 73 0.3× 51 0.3× 90 0.6× 61 426
Junichi Murata Japan 17 133 0.3× 493 1.9× 274 1.2× 130 0.7× 39 0.3× 46 928
Shantel Weinsheimer United States 15 165 0.4× 339 1.3× 39 0.2× 48 0.3× 144 1.0× 28 701
Drorit Luria Israel 19 393 1.0× 195 0.7× 122 0.6× 39 0.2× 39 0.3× 40 939
Shunji Yunoue Japan 16 237 0.6× 175 0.7× 50 0.2× 150 0.8× 35 0.2× 26 733
Mei Chen United States 9 468 1.2× 230 0.9× 54 0.2× 72 0.4× 16 0.1× 12 811
Zhiyv Niu United States 14 562 1.4× 39 0.1× 86 0.4× 83 0.5× 32 0.2× 41 768

Countries citing papers authored by He Lv

Since Specialization
Citations

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

Fields of papers citing papers by He Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Lv

This figure shows the co-authorship network connecting the top 25 collaborators of He Lv. A scholar is included among the top collaborators of He Lv 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 He Lv. He Lv 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.
Sun, Peng, Meng Yu, Zhiying Xie, et al.. (2024). Mutational and clinical spectrum of myofibrillar myopathy in one center from China. Journal of Neuromuscular Diseases. 11(6). 1247–1259. 1 indexed citations
2.
Liu, Jing, Feng Gao, Hong-Jun Hao, et al.. (2023). CIDP/autoimmune nodopathies with nephropathy: a case series study. Annals of Clinical and Translational Neurology. 10(5). 706–718. 9 indexed citations
3.
Li, Zhenyu, Yize Li, Kang Du, et al.. (2023). Novel mutations in FLVCR1 cause tremors, sensory neuropathy with retinitis pigmentosa. Neuropathology. 44(2). 87–95. 3 indexed citations
4.
Zheng, Yiming, Yikang Wang, Chengli Que, et al.. (2022). Thigh MRI in antisynthetase syndrome, and comparisons with dermatomyositis and immune-mediated necrotizing myopathy. Lara D. Veeken. 62(1). 310–320. 12 indexed citations
5.
Ma, Zhixing, He Lv, Hongwei Zhang, et al.. (2022). Clinicopathological features in two families with MARS‐related Charcot–Marie–Tooth disease. Neuropathology. 42(6). 505–511. 2 indexed citations
6.
Xie, Zhiying, Chengyue Sun, Chang Liu, et al.. (2022). First Identification of Rare Exonic and Deep Intronic Splice-Altering Variants in Patients With Beta-Sarcoglycanopathy. Frontiers in Pediatrics. 10. 900280–900280. 1 indexed citations
7.
Yu, Meng, Yawen Zhao, Yiming Zheng, et al.. (2022). Circulating cell-free mtDNA release is associated with the activation of cGAS-STING pathway and inflammation in mitochondrial diseases. Journal of Neurology. 269(9). 4985–4996. 25 indexed citations
8.
Wang, Qi, Meng Yu, Zhiying Xie, et al.. (2021). Mutational and clinical spectrum of centronuclear myopathy in 9 cases and a literature review of Chinese patients. Neurological Sciences. 43(4). 2803–2811.
9.
Lv, He, et al.. (2021). The Pathological Features of Common Hereditary Mitochondrial Dynamics Neuropathy. Frontiers in Neuroscience. 15. 705277–705277. 3 indexed citations
10.
Wang, Hui, Jiaxi Yu, Meng Yu, et al.. (2021). GGC Repeat Expansion in the NOTCH2NLC Gene Is Associated With a Phenotype of Predominant Motor–Sensory and Autonomic Neuropathy. Frontiers in Genetics. 12. 694790–694790. 18 indexed citations
11.
Wang, Qi, Xingzhi Chang, Meng Yu, et al.. (2020). Mutational and clinical spectrum in a cohort of Chinese patients with hereditary nemaline myopathy. Clinical Genetics. 97(6). 878–889. 9 indexed citations
12.
Yu, Meng, Ying Zhu, Yuanyuan Lu, et al.. (2020). Clinical features and genotypes of Laing distal myopathy in a group of Chinese patients, with in-frame deletions of MYH7 as common mutations. Orphanet Journal of Rare Diseases. 15(1). 344–344. 2 indexed citations
13.
Deng, Jianwen, Wei Wu, Zhiying Xie, et al.. (2019). Novel and Recurrent Mutations in a Cohort of Chinese Patients With Young-Onset Amyotrophic Lateral Sclerosis. Frontiers in Neuroscience. 13. 1289–1289. 21 indexed citations
14.
15.
Lv, He, Lu Wang, Wei Zhang, et al.. (2015). A cohort study of Han Chinese MFN2-related Charcot–Marie–Tooth 2A. Journal of the Neurological Sciences. 358(1-2). 153–157. 18 indexed citations
16.
Zheng, Yiming, Wenzhu Li, Suqin Jin, et al.. (2015). The trefoil with single fruit sign in muscle magnetic resonance imaging is highly specific for dystrophinopathies. European Journal of Radiology. 84(10). 1992–1998. 14 indexed citations
17.
Zhao, Juan, Jing Liu, Jiangxi Xiao, et al.. (2015). Clinical and Muscle Imaging Findings in 14 Mainland Chinese Patients with Oculopharyngodistal Myopathy. PLoS ONE. 10(6). e0128629–e0128629. 16 indexed citations
18.
Wang, Zhaoxia, Daojun Hong, Wei Zhang, et al.. (2015). Severe sensory neuropathy in patients with adult-onset multiple acyl-CoA dehydrogenase deficiency. Neuromuscular Disorders. 26(2). 170–175. 31 indexed citations
19.
Liu, Xiao, Zhaoxia Wang, Weina Jin, et al.. (2014). Clinical and GAA gene mutation analysis in mainland Chinese patients with late-onset Pompe disease: identifying c.2238G > C as the most common mutation. BMC Medical Genetics. 15(1). 141–141. 38 indexed citations
20.
Zheng, Yiming, Linlin Liu, Lu Wang, et al.. (2014). Magnetic resonance imaging changes of thigh muscles in myopathy with antibodies to signal recognition particle. Lara D. Veeken. 54(6). 1017–1024. 64 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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