Heyun Yang

2.0k total citations
4 papers, 104 citations indexed

About

Heyun Yang is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Heyun Yang has authored 4 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Neurology and 1 paper in Molecular Biology. Recurrent topics in Heyun Yang's work include Alzheimer's disease research and treatments (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cancer-related molecular mechanisms research (1 paper). Heyun Yang is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cancer-related molecular mechanisms research (1 paper). Heyun Yang collaborates with scholars based in China. Heyun Yang's co-authors include Jianping Jia, Tingting Hou, Qiaoqi Wu, Wei Wang, Feng Yan, Tingting Hou, Wei Wang, Wei Qin, Haitao Li and Wei Wang and has published in prestigious journals such as Journal of Alzheimer s Disease and Protein and Peptide Letters.

In The Last Decade

Heyun Yang

4 papers receiving 103 citations

Peers

Heyun Yang
Rie Ryoke Japan
Heyun Yang
Citations per year, relative to Heyun Yang Heyun Yang (= 1×) peers Rie Ryoke

Countries citing papers authored by Heyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Heyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heyun Yang

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

All Works

4 of 4 papers shown
1.
Zhang, Jie, et al.. (2023). SNHG3/miR-330-5p/HSD11B1 Alleviates Myocardial Ischemia-reperfusionInjury by Regulating the ERK/p38 Signaling Pathway. Protein and Peptide Letters. 30(8). 699–708. 6 indexed citations
2.
Yang, Heyun, Wei Wang, Longfei Jia, et al.. (2020). The Effect of Chronic Cerebral Hypoperfusion on Blood-Brain Barrier Permeability in a Transgenic Alzheimer’s Disease Mouse Model (PS1V97L)1. Journal of Alzheimer s Disease. 74(1). 261–275. 17 indexed citations
3.
Yang, Heyun, et al.. (2018). The Effect of Chronic Cerebral Hypoperfusion on Amyloid-β Metabolism in a Transgenic Mouse Model of Alzheimer’s Disease (PS1V97L). Journal of Alzheimer s Disease. 62(4). 1609–1621. 16 indexed citations
4.
Hou, Tingting, et al.. (2018). Sulforaphane Inhibits the Generation of Amyloid-β Oligomer and Promotes Spatial Learning and Memory in Alzheimer’s Disease (PS1V97L) Transgenic Mice. Journal of Alzheimer s Disease. 62(4). 1803–1813. 65 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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