Su Jing Chan

1.0k total citations
21 papers, 725 citations indexed

About

Su Jing Chan is a scholar working on Neurology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Su Jing Chan has authored 21 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Su Jing Chan's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Sulfur Compounds in Biology (4 papers) and Nerve injury and regeneration (3 papers). Su Jing Chan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Sulfur Compounds in Biology (4 papers) and Nerve injury and regeneration (3 papers). Su Jing Chan collaborates with scholars based in Singapore, United States and China. Su Jing Chan's co-authors include Eng H. Lo, Peter T.‐H. Wong, Kazuhide Hayakawa, Jin‐Song Bian, W.S. Fred Wong, Ken Arai, Emiri T. Mandeville, Elga Esposito, Joan Montaner and Anna Rosell and has published in prestigious journals such as Nature Communications, Stroke and Chemical Communications.

In The Last Decade

Su Jing Chan

21 papers receiving 719 citations

Peers

Su Jing Chan

NEURO

CMN

BIOCH

Jinning Song China

Wazir Abdullahi United States

Yuwu Zhao China

Xiaoli Wang China

Yun‐Hui Chu China

Zheng Jiang China

Jesús Agulla Spain

Jingrui Pan China

Anne G. Gilg United States

Jinning Song China

Su Jing Chan

315 ×1.3

142 ×0.7

NEURO

92 ×0.8

CMN

82 ×0.8

BIOCH

20 ×0.2

Citations per year, relative to Su Jing Chan Su Jing Chan (= 1×) peers Jinning Song

Countries citing papers authored by Su Jing Chan

Since Specialization

Citations

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

Fields of papers citing papers by Su Jing Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Jing Chan. 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 Su Jing Chan. The network helps show where Su Jing Chan may publish in the future.

Co-authorship network of co-authors of Su Jing Chan

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

All Works

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20 of 20 papers shown

Deng, Wenjun, Shuzhen Guo, Susanne J. van Veluw, et al.. (2022). Effects of cerebral amyloid angiopathy on the brain vasculome. Aging Cell. 21(8). e13503–e13503. 9 indexed citations

Chan, Su Jing, Elga Esposito, Kazuhide Hayakawa, et al.. (2020). Vascular Endothelial Growth Factor 165-Binding Heparan Sulfate Promotes Functional Recovery From Cerebral Ischemia. Stroke. 51(9). 2844–2853. 29 indexed citations

Chan, Su Jing, et al.. (2019). Early and Sustained Increases in Leukotriene B4 Levels Are Associated with Poor Clinical Outcome in Ischemic Stroke Patients. Neurotherapeutics. 17(1). 282–293. 22 indexed citations

Esposito, Elga, Bum Ju Ahn, Jingfei Shi, et al.. (2019). Brain-to-cervical lymph node signaling after stroke. Nature Communications. 10(1). 80 indexed citations

Chan, Su Jing, Wanting Niu, Kazuhide Hayakawa, et al.. (2019). Promoting Neuro-Supportive Properties of Astrocytes with Epidermal Growth Factor Hydrogels. Stem Cells Translational Medicine. 8(12). 1242–1248. 26 indexed citations

Zhao, Hui, Su Jing Chan, Chong Teik Tan, et al.. (2018). Absence of Stress Response in Dorsal Raphe Nucleus in Modulator of Apoptosis 1-Deficient Mice. Molecular Neurobiology. 56(3). 2185–2201. 9 indexed citations

Chan, Su Jing, Hui Zhao, Kazuhide Hayakawa, et al.. (2018). Modulator of apoptosis-1 is a potential therapeutic target in acute ischemic injury. Journal of Cerebral Blood Flow & Metabolism. 39(12). 2406–2418. 8 indexed citations

Hayakawa, Kazuhide, Su Jing Chan, Emiri T. Mandeville, et al.. (2018). Protective Effects of Endothelial Progenitor Cell-Derived Extracellular Mitochondria in Brain Endothelium. Stem Cells. 36(9). 1404–1410. 113 indexed citations

Esposito, Elga, Kazuhide Hayakawa, Bum Ju Ahn, et al.. (2018). Effects of ischemic post‐conditioning on neuronal VEGF regulation and microglial polarization in a rat model of focal cerebral ischemia. Journal of Neurochemistry. 146(2). 160–172. 48 indexed citations

10.

Chan, Su Jing, Christopher J. Love, Myron Spector, et al.. (2017). Endogenous regeneration: Engineering growth factors for stroke. Neurochemistry International. 107. 57–65. 51 indexed citations

11.

Chan, Su Jing & Peter T.‐H. Wong. (2017). Hydrogen sulfide in stroke: Protective or deleterious?. Neurochemistry International. 105. 1–10. 30 indexed citations

12.

Chan, Su Jing & Peter T.‐H. Wong. (2017). Reprint of: Hydrogen sulfide in stroke: Protective or deleterious?. Neurochemistry International. 107. 78–87. 9 indexed citations

13.

Chan, Su Jing, Aishwarya Bandla, Nicolas Kon Kam King, et al.. (2017). Integrated treatment modality of cathodal-transcranial direct current stimulation with peripheral sensory stimulation affords neuroprotection in a rat stroke model. Neurophotonics. 4(4). 1–1. 26 indexed citations

14.

Liu, Yuhang, Lun‐De Liao, Su Jing Chan, Aishwarya Bandla, & Nitish V. Thakor. (2016). An integrated neuroprotective intervention for brain ischemia validated by ECoG-fPAM. PubMed. 2016. 4009–4012. 5 indexed citations

15.

Chan, Su Jing, Weijun Shen, Woo Jin Chung, et al.. (2016). “Zipped Synthesis” by Cross-Metathesis Provides a Cystathionine β-Synthase Inhibitor that Attenuates Cellular H₂S Levels and Reduces Neuronal Infarction in a Rat Ischemic Stroke Model. ACS Central Science. 2(4). 242–252. 45 indexed citations

16.

Cai, Xiaolei, Chong‐Jing Zhang, Su Jing Chan, et al.. (2016). Organic Nanoparticles with Aggregation‐Induced Emission for Bone Marrow Stromal Cell Tracking in a Rat PTI Model. Small. 12(47). 6576–6585. 31 indexed citations

17.

Vatner, Ralph E., Geneviève Legault, Elizabeth A. Weyman, et al.. (2015). Comparison of Endocrine Dysfunction and Dosimetry in Pediatric Patients Treated With Proton Versus Photon Radiation Therapy for Medulloblastoma. International Journal of Radiation Oncology*Biology*Physics. 93(3). S32–S33. 6 indexed citations

18.

Chan, Su Jing, et al.. (2015). Cystathionine β-Synthase Inhibition Is a Potential Therapeutic Approach to Treatment of Ischemic Injury. ASN NEURO. 7(2). 33 indexed citations

19.

Li, Kai, Su Jing Chan, Wei Qin, et al.. (2014). Organic nanoparticles with aggregation-induced emission for tracking bone marrow stromal cells in the rat ischemic stroke model. Chemical Communications. 50(96). 15136–15139. 21 indexed citations

20.

Chan, Su Jing, et al.. (2010). Neuroprotective effects of andrographolide in a rat model of permanent cerebral ischaemia. British Journal of Pharmacology. 161(3). 668–679. 108 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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