Aislinn Hays

508 total citations
12 papers, 413 citations indexed

About

Aislinn Hays is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Aislinn Hays has authored 12 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Aislinn Hays's work include Muscle Physiology and Disorders (5 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Aislinn Hays is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Aislinn Hays collaborates with scholars based in United States, Thailand and China. Aislinn Hays's co-authors include Morayma Reyes, Nicholas Ieronimakis, Kajohnkiart Janebodin, Jeremy S. Duffield, Huizhi Wang, Wei Zhou, Xingyu Duan, Li Su, Shuang Liang and Yong Li and has published in prestigious journals such as ACS Nano, The Journal of Pathology and BioMed Research International.

In The Last Decade

Aislinn Hays

12 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aislinn Hays United States 11 268 83 75 61 58 12 413
Yueying Zhou China 10 155 0.6× 169 2.0× 52 0.7× 44 0.7× 69 1.2× 14 399
Fei Pei China 15 409 1.5× 40 0.5× 77 1.0× 62 1.0× 89 1.5× 28 632
Xiao Lin China 13 388 1.4× 30 0.4× 97 1.3× 69 1.1× 150 2.6× 19 607
Zuolin Jin China 14 288 1.1× 23 0.3× 221 2.9× 52 0.9× 109 1.9× 29 554
Wing-Yee Cheung Canada 6 303 1.1× 54 0.7× 32 0.4× 59 1.0× 30 0.5× 6 544
Kazuhisa Soejima Japan 7 226 0.8× 137 1.7× 24 0.3× 54 0.9× 35 0.6× 10 641
Anna Spina Italy 11 124 0.5× 22 0.3× 53 0.7× 74 1.2× 111 1.9× 21 401
Shu Diao China 13 325 1.2× 37 0.4× 186 2.5× 93 1.5× 219 3.8× 18 608
Hanayuki Okura Japan 16 260 1.0× 76 0.9× 48 0.6× 270 4.4× 318 5.5× 35 700
H Antoniades United States 6 164 0.6× 33 0.4× 43 0.6× 60 1.0× 37 0.6× 12 438

Countries citing papers authored by Aislinn Hays

Since Specialization
Citations

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

Fields of papers citing papers by Aislinn Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aislinn Hays

This figure shows the co-authorship network connecting the top 25 collaborators of Aislinn Hays. A scholar is included among the top collaborators of Aislinn Hays 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 Aislinn Hays. Aislinn Hays 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.
Janebodin, Kajohnkiart, et al.. (2021). Silencing VEGFR-2 Hampers Odontoblastic Differentiation of Dental Pulp Stem Cells. Frontiers in Cell and Developmental Biology. 9. 665886–665886. 15 indexed citations
2.
Hays, Aislinn, Xingyu Duan, Jian‐Xin Zhu, et al.. (2019). Down-regulated Treg cells in exacerbated periodontal disease during pregnancy. International Immunopharmacology. 69. 299–306. 11 indexed citations
3.
Zhou, Wei, Li Su, Xingyu Duan, et al.. (2018). MicroRNA-21 down-regulates inflammation and inhibits periodontitis. Molecular Immunology. 101. 608–614. 94 indexed citations
4.
Duan, Xingyu, et al.. (2018). Porphyromonas gingivalis induces exacerbated periodontal disease during pregnancy. Microbial Pathogenesis. 124. 145–151. 7 indexed citations
5.
Tsui, Jonathan H., Kajohnkiart Janebodin, Nicholas Ieronimakis, et al.. (2017). Harnessing Sphingosine-1-Phosphate Signaling and Nanotopographical Cues To Regulate Skeletal Muscle Maturation and Vascularization. ACS Nano. 11(12). 11954–11968. 23 indexed citations
6.
Ieronimakis, Nicholas, et al.. (2016). PDGFRα signalling promotes fibrogenic responses in collagen‐producing cells in Duchenne muscular dystrophy. The Journal of Pathology. 240(4). 410–424. 66 indexed citations
8.
Ieronimakis, Nicholas, Aislinn Hays, Junlin Qi, et al.. (2013). Increased sphingosine-1-phosphate improves muscle regeneration in acutely injured mdx mice. Skeletal Muscle. 3(1). 20–20. 48 indexed citations
9.
Hait, Nitai C., Henrik Sperber, Junlin Qi, et al.. (2013). Molecular mechanism of sphingosine-1-phosphate action in Duchenne muscular dystrophy. Disease Models & Mechanisms. 7(1). 41–54. 49 indexed citations
10.
Ieronimakis, Nicholas, Aislinn Hays, Kajohnkiart Janebodin, et al.. (2013). Coronary adventitial cells are linked to perivascular cardiac fibrosis via TGFβ1 signaling in the mdx mouse model of Duchenne muscular dystrophy. Journal of Molecular and Cellular Cardiology. 63. 122–134. 49 indexed citations
12.
Ieronimakis, Nicholas, Aislinn Hays, & Morayma Reyes. (2011). Bone marrow−derived cells do not engraft into skeletal muscle microvasculature but promote angiogenesis after acute injury. Experimental Hematology. 40(3). 238–249.e3. 11 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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