Ling Weng

1.3k total citations
33 papers, 606 citations indexed

About

Ling Weng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Ling Weng has authored 33 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Ling Weng's work include Alzheimer's disease research and treatments (8 papers), Neurological diseases and metabolism (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Ling Weng is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Neurological diseases and metabolism (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Ling Weng collaborates with scholars based in China, United States and United Kingdom. Ling Weng's co-authors include Li J, Beisha Tang, Francesco Dazzi, Giovanna Lombardi, María P. Hernández-Fuentes, Philip D. Mason, Richard J. Baker, Philip Hornick, Qian Zhang and Richard Batchelor and has published in prestigious journals such as Circulation, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Ling Weng

32 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Weng China 15 179 120 114 109 98 33 606
J. He China 14 222 1.2× 127 1.1× 187 1.6× 88 0.8× 53 0.5× 70 854
Akila Chandrasekar Germany 13 191 1.1× 150 1.3× 35 0.3× 39 0.4× 54 0.6× 36 507
Candice Chapouly France 14 344 1.9× 57 0.5× 91 0.8× 59 0.5× 71 0.7× 29 749
Marcus Ohlsson Sweden 13 193 1.1× 275 2.3× 76 0.7× 50 0.5× 110 1.1× 29 693
Loren E. Glover United States 11 229 1.3× 90 0.8× 39 0.3× 244 2.2× 81 0.8× 13 603
Mitsutoshi Ota Japan 17 138 0.8× 38 0.3× 55 0.5× 19 0.2× 411 4.2× 53 834
Arianna Merlini Italy 12 337 1.9× 74 0.6× 245 2.1× 109 1.0× 67 0.7× 12 945
B. Schrader Germany 11 44 0.2× 331 2.8× 78 0.7× 49 0.4× 77 0.8× 32 608
Paul Kwon United States 14 112 0.6× 55 0.5× 268 2.4× 42 0.4× 58 0.6× 18 923
Ola Grimsholm Sweden 17 232 1.3× 23 0.2× 301 2.6× 29 0.3× 50 0.5× 26 737

Countries citing papers authored by Ling Weng

Since Specialization
Citations

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

Fields of papers citing papers by Ling Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Weng. A scholar is included among the top collaborators of Ling Weng 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 Ling Weng. Ling Weng 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.
Li, Pingping, et al.. (2024). Empathy ability and influencing factors among pediatric residents in China: a mixed-methods study. BMC Medical Education. 24(1). 955–955. 2 indexed citations
3.
Yang, Qijie, Bin Jiao, Weiwei Zhang, et al.. (2023). Clinical features of progressive supranuclear palsy. Frontiers in Aging Neuroscience. 15. 1229491–1229491. 5 indexed citations
4.
Chen, Yu‐Lei, Le‐Chang Sun, Ling‐Jing Zhang, et al.. (2023). Research Progresses and Applications of Fluorescent Protein Antibodies: A Review Focusing on Nanobodies. International Journal of Molecular Sciences. 24(5). 4307–4307. 14 indexed citations
5.
Jiang, Yaling, Xuewen Xiao, Xixi Liu, et al.. (2023). GSNgene frameshift mutations in Alzheimer’s disease. Journal of Neurology Neurosurgery & Psychiatry. 94(6). 436–447. 5 indexed citations
6.
Li, Shifu, et al.. (2022). Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in moyamoya disease. Frontiers in Molecular Biosciences. 9. 991425–991425. 10 indexed citations
7.
Li, Shifu, Qian Zhang, Ling Weng, Ying Han, & Jian Li. (2022). Novel insight into m6A regulator-mediated methylation modification patterns and immune characteristics in intracranial aneurysm. Frontiers in Aging Neuroscience. 14. 973258–973258. 9 indexed citations
8.
Zhang, Qian, Li J, & Ling Weng. (2022). Identification and Validation of Aging-Related Genes in Alzheimer’s Disease. Frontiers in Neuroscience. 16. 905722–905722. 27 indexed citations
9.
Li, Shifu, Qian Zhang, Ling Weng, & Jian Li. (2022). Construction of an immune-related signature for predicting the ischemic events in patients undergoing carotid endarterectomy. Frontiers in Genetics. 13. 1014264–1014264. 2 indexed citations
10.
Liu, Yingzi, Xuewen Xiao, Hui Liu, et al.. (2022). Clinical characteristics and genotype-phenotype correlation analysis of familial Alzheimer’s disease patients with pathogenic/likely pathogenic amyloid protein precursor mutations. Frontiers in Aging Neuroscience. 14. 1013295–1013295. 4 indexed citations
11.
Xiao, Xuewen, Xinxin Liao, Yafang Zhou, et al.. (2022). Variants in the Niemann-pick type C genes are not associated with Alzheimer's disease: a large case-control study in the Chinese population. Neurobiology of Aging. 116. 49–54. 2 indexed citations
12.
Zhang, Qian, Li J, & Ling Weng. (2022). A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method. Frontiers in Public Health. 10. 937008–937008. 21 indexed citations
13.
Liu, Zhen, Mengli Wang, Jie Ni, et al.. (2021). Mutation spectrum of amyotrophic lateral sclerosis in Central South China. Neurobiology of Aging. 107. 181–188. 20 indexed citations
14.
Jiao, Bin, Hui Liu, Lina Guo, et al.. (2021). The role of genetics in neurodegenerative dementia: a large cohort study in South China. npj Genomic Medicine. 6(1). 69–69. 17 indexed citations
15.
Weng, Ling, et al.. (2017). Association of folate metabolism gene polymorphisms and haplotype combination with pulmonary embolism risk in Chinese Han population. Mammalian Genome. 28(5-6). 220–226. 5 indexed citations
16.
Tang, Min, Xiaohua Gu, Jingya Wei, et al.. (2016). Analyses MAPT, GRN, and C9orf72 mutations in Chinese patients with frontotemporal dementia. Neurobiology of Aging. 46. 235.e11–235.e15. 35 indexed citations
17.
Wang, Chunyu, Qian Xu, Ling Weng, et al.. (2011). Genetic variations of Omi/HTRA2 in Chinese patients with Parkinson's disease. Brain Research. 1385. 293–297. 16 indexed citations
18.
19.
Capelli, Chiara, Elisa Gotti, Marina Morigi, et al.. (2011). Minimally manipulated whole human umbilical cord is a rich source of clinical-grade human mesenchymal stromal cells expanded in human platelet lysate. Cytotherapy. 13(7). 786–801. 100 indexed citations
20.
Hornick, Philip, Philip D. Mason, Richard J. Baker, et al.. (2000). Significant Frequencies of T Cells With Indirect Anti-Donor Specificity in Heart Graft Recipients With Chronic Rejection. Circulation. 101(20). 2405–2410. 112 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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