Yingjuan Ma

416 total citations
8 papers, 342 citations indexed

About

Yingjuan Ma is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry. According to data from OpenAlex, Yingjuan Ma has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Clinical Biochemistry. Recurrent topics in Yingjuan Ma's work include Alzheimer's disease research and treatments (3 papers), Medicinal Plants and Neuroprotection (2 papers) and Biochemical effects in animals (2 papers). Yingjuan Ma is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Medicinal Plants and Neuroprotection (2 papers) and Biochemical effects in animals (2 papers). Yingjuan Ma collaborates with scholars based in China and Sweden. Yingjuan Ma's co-authors include Chao Shen, Hong Yan, Xueping Liu, Xunyao Hou, Qingqing Yin, Menghan Sun, Ziling Zeng, Bin Ma, Song Xu and Dejie Wang and has published in prestigious journals such as Brain Research, Neuropharmacology and Neuroreport.

In The Last Decade

Yingjuan Ma

8 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingjuan Ma China	8	114	98	95	63	53	8	342
Nicole Steiner Australia	7	142 1.2×	157 1.6×	48 0.5×	58 0.9×	42 0.8×	15	422
Changjiang Ying China	14	76 0.7×	132 1.3×	57 0.6×	65 1.0×	136 2.6×	36	522
Diana Barrera‐Oviedo Mexico	12	96 0.8×	229 2.3×	52 0.5×	36 0.6×	34 0.6×	22	563
Haiyun Luan China	7	60 0.5×	134 1.4×	58 0.6×	65 1.0×	30 0.6×	10	354
Emma Arnal Spain	13	70 0.6×	209 2.1×	84 0.9×	66 1.0×	69 1.3×	22	671
Elisa Maggi Italy	11	207 1.8×	123 1.3×	31 0.3×	67 1.1×	60 1.1×	18	442
Rohit Saxena India	10	49 0.4×	193 2.0×	101 1.1×	54 0.9×	97 1.8×	20	544
Caixia Wu China	9	112 1.0×	175 1.8×	31 0.3×	86 1.4×	31 0.6×	18	495
Ivan Pavlov United States	5	259 2.3×	81 0.8×	54 0.6×	40 0.6×	55 1.0×	9	407

Countries citing papers authored by Yingjuan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yingjuan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjuan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjuan Ma. A scholar is included among the top collaborators of Yingjuan Ma 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 Yingjuan Ma. Yingjuan Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Sun, Menghan, Ruijun Liu, Xueman Zhao, et al.. (2022). Predictive value of machine learning in diagnosing cognitive impairment in patients with Parkinson’s disease: a systematic review and meta-analysis. Annals of Palliative Medicine. 11(12). 3775–3784. 8 indexed citations

Mao, Xuyan, Jing Zhang, Peng Sun, et al.. (2019). Oral delivery of lycopene-loaded microemulsion for brain-targeting: preparation, characterization, pharmacokinetic evaluation and tissue distribution. Drug Delivery. 26(1). 1191–1205. 36 indexed citations

Ma, Yingjuan, Bin Ma, Qingqing Yin, et al.. (2018). Flavonoid‐Rich Ethanol Extract from the Leaves of Diospyros kaki Attenuates D‐Galactose‐Induced Oxidative Stress and Neuroinflammation‐Mediated Brain Aging in Mice. Oxidative Medicine and Cellular Longevity. 2018(1). 8938207–8938207. 59 indexed citations

Ma, Yingjuan, et al.. (2018). Flavonoids extracted from leaves of Diospyros kaki regulates RhoA activity to rescue synapse loss and reverse memory impairment in APP/PS1 mice. Neuroreport. 29(7). 564–569. 7 indexed citations

Ma, Yingjuan, Bin Ma, Hong Yan, et al.. (2017). Flavonoid-rich ethanol extract from the leaves of Diospyros kaki attenuates cognitive deficits, amyloid-beta production, oxidative stress, and neuroinflammation in APP/PS1 transgenic mice. Brain Research. 1678. 85–93. 26 indexed citations

Shen, Chao, Yingjuan Ma, Ziling Zeng, et al.. (2017). RAGE-Specific Inhibitor FPS-ZM1 Attenuates AGEs-Induced Neuroinflammation and Oxidative Stress in Rat Primary Microglia. Neurochemical Research. 42(10). 2902–2911. 60 indexed citations

Yan, Hong, et al.. (2016). Effects of RAGE-Specific Inhibitor FPS-ZM1 on Amyloid-β Metabolism and AGEs-Induced Inflammation and Oxidative Stress in Rat Hippocampus. Neurochemical Research. 41(5). 1192–1199. 71 indexed citations

Yin, Qingqing, Yingjuan Ma, Hong Yan, et al.. (2014). Lycopene attenuates insulin signaling deficits, oxidative stress, neuroinflammation, and cognitive impairment in fructose-drinking insulin resistant rats. Neuropharmacology. 86. 389–396. 75 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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