Ling Hu

807 total citations
32 papers, 587 citations indexed

About

Ling Hu is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Ling Hu has authored 32 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Ling Hu's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Polysaccharides Composition and Applications (3 papers). Ling Hu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Polysaccharides Composition and Applications (3 papers). Ling Hu collaborates with scholars based in China, United Kingdom and United States. Ling Hu's co-authors include Mei-Xue Dong, Lingan Kong, Youdong Wei, Bo Feng, Shengdong Li, Yan Xie, Bin Li, Yanyan Ren, Xiaomin Xu and Jing Li and has published in prestigious journals such as Scientific Reports, Free Radical Biology and Medicine and Food Hydrocolloids.

In The Last Decade

Ling Hu

31 papers receiving 582 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 Hu China 14 208 106 96 96 83 32 587
Hongying Li China 17 248 1.2× 221 2.1× 42 0.4× 64 0.7× 52 0.6× 41 708
Yuxian Zhang China 17 371 1.8× 237 2.2× 39 0.4× 42 0.4× 80 1.0× 57 769
Elisa Revilla Spain 18 122 0.6× 277 2.6× 92 1.0× 61 0.6× 171 2.1× 35 872
Rafael Calixto Bortolin Brazil 19 164 0.8× 213 2.0× 93 1.0× 52 0.5× 214 2.6× 37 909
Ewa Żebrowska Poland 11 106 0.5× 132 1.2× 44 0.5× 10 0.1× 188 2.3× 20 520
Narayanappa Amruta India 16 142 0.7× 159 1.5× 16 0.2× 40 0.4× 44 0.5× 29 578
Paramita Basu United States 10 192 0.9× 154 1.5× 23 0.2× 31 0.3× 97 1.2× 35 531
Swapnil Pandey India 12 105 0.5× 98 0.9× 19 0.2× 32 0.3× 27 0.3× 25 379
Michał Majewski Poland 17 113 0.5× 180 1.7× 160 1.7× 35 0.4× 127 1.5× 86 914
Miaomiao Song China 15 55 0.3× 144 1.4× 24 0.3× 14 0.1× 52 0.6× 34 465

Countries citing papers authored by Ling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Hu. A scholar is included among the top collaborators of Ling Hu 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 Hu. Ling Hu 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.
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Hu, Ling, et al.. (2024). Analysis of factors influencing the recurrence of diabetic foot ulcers. Skin Research and Technology. 30(7). e13826–e13826. 2 indexed citations
3.
Hu, Ling, et al.. (2024). Plasma metabolomics profiles indicate sex differences of lipid metabolism in patients with Parkinson’s disease. Scientific Reports. 14(1). 31262–31262. 2 indexed citations
4.
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Hu, Ling, et al.. (2021). Prediction of prognosis in sepsis patients by the SOFA score combined with miR-150. Advances in Clinical and Experimental Medicine. 31(1). 9–15. 7 indexed citations
7.
Hu, Ling, et al.. (2021). The Clinical Value of the RA-Adjusted Fracture Risk Assessment Tool in the Fracture Risk Prediction of Patients with Type 2 Diabetes Mellitus in China. International Journal of General Medicine. Volume 14. 327–333. 8 indexed citations
8.
Dong, Mei-Xue, Ling Hu, Youdong Wei, & Guang‐Hui Chen. (2021). Metabolomics profiling reveals altered lipid metabolism and identifies a panel of lipid metabolites as biomarkers for Parkinson’s disease related anxiety disorder. Neuroscience Letters. 745. 135626–135626. 28 indexed citations
9.
Dong, Mei-Xue, Youdong Wei, & Ling Hu. (2021). Lipid metabolic dysregulation is involved in Parkinson’s disease dementia. Metabolic Brain Disease. 36(3). 463–470. 24 indexed citations
10.
Shang, Longchen, Yi Wang, Yanyan Ren, et al.. (2020). In vitro gastric emptying characteristics of konjac glucomannan with different viscosity and its effects on appetite regulation. Food & Function. 11(9). 7596–7610. 54 indexed citations
11.
Dong, Mei-Xue, Guanghui Chen, & Ling Hu. (2020). Dopaminergic System Alteration in Anxiety and Compulsive Disorders: A Systematic Review of Neuroimaging Studies. Frontiers in Neuroscience. 14. 608520–608520. 24 indexed citations
12.
Dai, Xiayun, Qifei Deng, Jichao Li, et al.. (2019). Association of urinary metal profiles with serum uric acid: a cross-sectional study of traffic policemen in Wuhan, China. BMJ Open. 9(5). e022542–e022542. 8 indexed citations
13.
Dong, Mei-Xue, Xia Feng, Xiaomin Xu, et al.. (2018). Integrated Analysis Reveals Altered Lipid and Glucose Metabolism and Identifies NOTCH2 as a Biomarker for Parkinson's Disease Related Depression. Frontiers in Molecular Neuroscience. 11. 257–257. 38 indexed citations
14.
Han, Bing, Xiaojin Wang, Ningjian Wang, et al.. (2017). Investigation of vitamin D status and its correlation with insulin resistance in a Chinese population. Public Health Nutrition. 20(9). 1602–1608. 17 indexed citations
15.
Hu, Ling, et al.. (2017). [Value of Procalcitonin, High Sensitivity C-reactive Protein and Pancreatic Stone Protein in Predicting Prognosis of Children with Sepsis].. PubMed. 48(3). 422–426. 2 indexed citations
16.
Lin, Wensheng, Ling Hu, Long Xiang, et al.. (2016). Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis. Japanese Journal of Radiology. 34(12). 795–808. 6 indexed citations
17.
Xing, Xiaoyan, Minxiang Lei, Yongquan Shi, et al.. (2014). Biphasic insulin aspart 30 improved glycemic control in Chinese patients with type 2 diabetes poorly controlled on oral glucose-lowering drugs: a subgroup analysis of the A1chieve study. Chinese Medical Journal. 127(2). 208–212. 2 indexed citations
18.
Hu, Ling, Yang Liu, Jiangping Ma, & Dian‐Shun Guo. (2009). 5,11,17,23-Tetra-tert-butyl-25,26,27,28-tetrakis[2-(2-chloroethoxy)ethoxy]-2,8,14,20-tetrasulfonylcalix[4]arene. Acta Crystallographica Section E Structure Reports Online. 65(2). o385–o386. 3 indexed citations
19.
Hu, Ling. (2007). Effect of Herba Hedyotis Diffusae on Expression of Heat Shock Protein 70 in Hepatoma Cell Line H22. Traditional Chinese Medicine.
20.
Li, Wei-Gen, Lynn L. Stoll, Francis J. Miller, et al.. (2003). Activation of NAD(P)H oxidase by lipid hydroperoxides: mechanism of oxidant-mediated smooth muscle cytotoxicity. Free Radical Biology and Medicine. 34(7). 937–946. 35 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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