Xing Ma

974 total citations
12 papers, 789 citations indexed

About

Xing Ma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Xing Ma has authored 12 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Biological Psychiatry. Recurrent topics in Xing Ma's work include Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (2 papers) and Curcumin's Biomedical Applications (2 papers). Xing Ma is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (2 papers) and Curcumin's Biomedical Applications (2 papers). Xing Ma collaborates with scholars based in China and United States. Xing Ma's co-authors include Ying Xu, Yao Haiyan, Bao‐Shan Ku, Yonghe Zhang, Yanhua Lin, Xue-Jun Li, Wengao Jiang, Lu Tie, Xuejun Li and Tengfei Ma and has published in prestigious journals such as Brain Research, European Journal of Pharmacology and Behavioural Brain Research.

In The Last Decade

Xing Ma

12 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Ma China 10 270 267 204 166 161 12 789
Yao Haiyan China 7 253 0.9× 266 1.0× 195 1.0× 159 1.0× 153 1.0× 12 775
Philip A. Barish United States 8 159 0.6× 152 0.6× 158 0.8× 112 0.7× 148 0.9× 8 619
Bao‐Shan Ku China 12 332 1.2× 367 1.4× 261 1.3× 199 1.2× 227 1.4× 18 1.2k
Majid Motaghinejad Iran 24 361 1.3× 140 0.5× 236 1.2× 103 0.6× 228 1.4× 59 1.3k
Luli R. Akinfiresoye United States 10 314 1.2× 79 0.3× 282 1.4× 126 0.8× 122 0.8× 19 737
MK Bhutani India 5 118 0.4× 219 0.8× 141 0.7× 64 0.4× 101 0.6× 13 557
Laraib Liaquat Pakistan 13 187 0.7× 80 0.3× 112 0.5× 69 0.4× 296 1.8× 26 878
Sadia Sadir Pakistan 13 175 0.6× 73 0.3× 102 0.5× 66 0.4× 259 1.6× 23 805
Puneet Rinwa India 14 213 0.8× 55 0.2× 121 0.6× 97 0.6× 295 1.8× 22 879
Jogender Mehla India 21 303 1.1× 132 0.5× 75 0.4× 52 0.3× 331 2.1× 39 1.3k

Countries citing papers authored by Xing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Ma

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

All Works

12 of 12 papers shown
1.
Zhang, Hong, et al.. (2024). MEAG-YOLO: A Novel Approach for the Accurate Detection of Personal Protective Equipment in Substations. Applied Sciences. 14(11). 4766–4766. 9 indexed citations
3.
Chen, Xi, et al.. (2024). Investigation of the Causal Relationship Between Autoimmune Diseases and Premature Ovarian Insufficiency. Reproductive Sciences. 32(1). 176–186. 5 indexed citations
5.
Li, Mei, Xin Gao, Yun Wang, et al.. (2016). The antidepressant-like effect of alarin is related to TrkB-mTOR signaling and synaptic plasticity. Behavioural Brain Research. 313. 158–171. 20 indexed citations
6.
Zhou, Li, Xin Gao, Bin Hu, et al.. (2015). Dexmedetomidine prevents post-ischemic LTP via presynaptic and postsynaptic mechanisms. Brain Research. 1622. 308–320. 14 indexed citations
7.
Ma, Tengfei, Li Zhou, Yun Wang, et al.. (2013). A selective M1and M3receptor antagonist, penehyclidine hydrochloride, prevents postischemic LTP: Involvement of NMDA receptors. Synapse. 67(12). 865–874. 16 indexed citations
8.
Ma, Xing, Rui Wang, Xin Zhao, et al.. (2012). Antidepressant-like effect of flaxseed secoisolariciresinol diglycoside in ovariectomized mice subjected to unpredictable chronic stress. Metabolic Brain Disease. 28(1). 77–84. 28 indexed citations
9.
Ma, Xiangdong, et al.. (2009). Differentially expressed genes in diabetes-induced embryopathy. Hereditas (Beijing). 31(3). 280–284. 1 indexed citations
10.
Xu, Ying, Bao‐Shan Ku, Lu Tie, et al.. (2006). Curcumin reverses the effects of chronic stress on behavior, the HPA axis, BDNF expression and phosphorylation of CREB. Brain Research. 1122(1). 56–64. 247 indexed citations
11.
Xu, Ying, Bao‐Shan Ku, Yao Haiyan, et al.. (2005). Antidepressant effects of curcumin in the forced swim test and olfactory bulbectomy models of depression in rats. Pharmacology Biochemistry and Behavior. 82(1). 200–206. 226 indexed citations
12.
Xu, Ying, Bao‐Shan Ku, Yao Haiyan, et al.. (2005). The effects of curcumin on depressive-like behaviors in mice. European Journal of Pharmacology. 518(1). 40–46. 198 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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