Yang V. Li

1.3k total citations
31 papers, 1.0k citations indexed

About

Yang V. Li is a scholar working on Nutrition and Dietetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yang V. Li has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nutrition and Dietetics, 10 papers in Molecular Biology and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yang V. Li's work include Trace Elements in Health (20 papers), Heavy Metal Exposure and Toxicity (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). Yang V. Li is often cited by papers focused on Trace Elements in Health (20 papers), Heavy Metal Exposure and Toxicity (10 papers) and Neuroscience and Neuropharmacology Research (5 papers). Yang V. Li collaborates with scholars based in United States and China. Yang V. Li's co-authors include Christian J. Stork, Qiping Lu, Jean‐Nicolas Vauthey, Georgios Georgakis, Paolo Fiumara, Antonino Carbone, Virginia Snell, Bei Zheng, Mamoun Younes and Anas Younes and has published in prestigious journals such as Journal of Neuroscience, Blood and Brain Research.

In The Last Decade

Yang V. Li

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang V. Li United States 17 449 320 187 121 120 31 1.0k
Claire L. Davies United Kingdom 18 165 0.4× 381 1.2× 68 0.4× 77 0.6× 90 0.8× 28 1.1k
Haiqing Hua China 16 228 0.5× 510 1.6× 175 0.9× 90 0.7× 178 1.5× 32 1.1k
Pauline Chabosseau United Kingdom 20 409 0.9× 550 1.7× 137 0.7× 100 0.8× 394 3.3× 32 1.2k
Ronald E. Cannon United States 25 107 0.2× 783 2.4× 156 0.8× 101 0.8× 72 0.6× 49 1.5k
Cristiano Farace Italy 16 117 0.3× 253 0.8× 156 0.8× 77 0.6× 28 0.2× 26 941
Adam Southon Australia 18 297 0.7× 401 1.3× 180 1.0× 139 1.1× 30 0.3× 25 926
M. Christine McGahan United States 25 211 0.5× 636 2.0× 43 0.2× 141 1.2× 43 0.4× 70 1.3k
Eiko Yoshida Japan 20 140 0.3× 257 0.8× 171 0.9× 111 0.9× 54 0.5× 58 945
Yoshikazu Yoshino Japan 18 97 0.2× 208 0.7× 217 1.2× 96 0.8× 83 0.7× 75 1.1k
Maria A. Burnatowska-Hledin United States 18 119 0.3× 418 1.3× 87 0.5× 64 0.5× 48 0.4× 37 751

Countries citing papers authored by Yang V. Li

Since Specialization
Citations

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

Fields of papers citing papers by Yang V. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang V. Li. 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 Yang V. Li. The network helps show where Yang V. Li may publish in the future.

Co-authorship network of co-authors of Yang V. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yang V. Li. A scholar is included among the top collaborators of Yang V. Li 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 Yang V. Li. Yang V. Li 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.
Li, Yang V., et al.. (2021). Metal ion chelation enhances tissue plasminogen activator (tPA)-induced thrombolysis: an in vitro and in vivo study. Journal of Thrombosis and Thrombolysis. 53(2). 291–301. 6 indexed citations
2.
Li, Yang V., et al.. (2021). Expression of SSEA-4 and Oct-4 from somatic cells in primary mouse gastric cell culture induced by brief strong acid. Molecular and Cellular Biochemistry. 476(7). 2813–2821. 2 indexed citations
3.
Shen, Zhijun, et al.. (2020). Zinc modulates synaptic transmission by differentially regulating synaptic glutamate homeostasis in hippocampus. European Journal of Neuroscience. 52(7). 3710–3722. 13 indexed citations
4.
Holub, Justin M., et al.. (2018). Intracellular zinc increase affects phosphorylation state and subcellular localization of protein kinase C delta (δ). Cellular Signalling. 44. 148–157. 12 indexed citations
5.
Lu, Qiping, et al.. (2017). Cross talk between increased intracellular zinc (Zn2+) and accumulation of reactive oxygen species in chemical ischemia. American Journal of Physiology-Cell Physiology. 313(4). C448–C459. 46 indexed citations
6.
Stork, Christian J. & Yang V. Li. (2016). Elevated Cytoplasmic Free Zinc and Increased Reactive Oxygen Species Generation in the Context of Brain Injury. Acta neurochirurgica. Supplementum. 121. 347–353. 24 indexed citations
7.
Li, Yang V., et al.. (2016). Zebrafish (Danio rerio) Developed as an Alternative Animal Model for Focal Ischemic Stroke. Acta neurochirurgica. Supplementum. 121. 115–119. 13 indexed citations
8.
Guo, Aili, et al.. (2015). Autocrine effect of Zn2+ on the glucose-stimulated insulin secretion. Endocrine. 50(1). 110–122. 25 indexed citations
9.
Li, Han, Huanhuan Yan, Lei Pei, et al.. (2015). Hydrogen-rich water protects against ischemic brain injury in rats by regulating calcium buffering proteins. Brain Research. 1615. 129–138. 28 indexed citations
10.
Li, Yang V., et al.. (2013). Neuroprotective Effect of Zinc Chelator DEDTC in a Zebrafish ( Danio rerio ) Model of Hypoxic Brain Injury. Zebrafish. 10(1). 30–35. 18 indexed citations
11.
Li, Yang V.. (2013). Zinc and insulin in pancreatic beta-cells. Endocrine. 45(2). 178–189. 182 indexed citations
12.
James, Calvin, et al.. (2013). Inhibitory effect of zinc on glucose‐stimulated zinc/insulin secretion in an insulin‐secreting β‐cell line. Experimental Physiology. 98(8). 1301–1311. 28 indexed citations
13.
Li, Yang V., et al.. (2011). Zebrafish as an alternative model for hypoxic-ischemic brain damage.. PubMed. 3(2). 88–96. 31 indexed citations
14.
Stork, Christian J. & Yang V. Li. (2010). Zinc release from thapsigargin/IP3-sensitive stores in cultured cortical neurons. PubMed. 5. 5–5. 53 indexed citations
15.
Stork, Christian J., et al.. (2010). UV irradiation‐induced zinc dissociation from commercial zinc oxide sunscreen and its action in human epidermal keratinocytes. Journal of Cosmetic Dermatology. 9(4). 276–286. 16 indexed citations
16.
Stork, Christian J. & Yang V. Li. (2009). Rising Zinc: A Significant Cause of Ischemic Neuronal Death in the CA1 Region of Rat Hippocampus. Journal of Cerebral Blood Flow & Metabolism. 29(8). 1399–1408. 43 indexed citations
17.
Bastian, Chinthasagar & Yang V. Li. (2007). Fluorescence imaging study of extracellular zinc at the hippocampal mossy fiber synapse. Neuroscience Letters. 419(2). 119–124. 10 indexed citations
18.
Stork, Christian J. & Yang V. Li. (2006). Intracellular Zinc Elevation Measured with a “Calcium-Specific” Indicator during Ischemia and Reperfusion in Rat Hippocampus: A Question on Calcium Overload. Journal of Neuroscience. 26(41). 10430–10437. 80 indexed citations
19.
Martin, Jennifer L., Christian J. Stork, & Yang V. Li. (2006). Determining zinc with commonly used calcium and zinc fluorescent indicators, a question on calcium signals. Cell Calcium. 40(4). 393–402. 38 indexed citations
20.
Stork, Christian J. & Yang V. Li. (2006). Measuring cell viability with membrane impermeable zinc fluorescent indicator. Journal of Neuroscience Methods. 155(2). 180–186. 18 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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