Shalina Taylor

1.8k total citations
17 papers, 589 citations indexed

About

Shalina Taylor is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Shalina Taylor has authored 17 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Shalina Taylor's work include Pulmonary Hypertension Research and Treatments (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Cardiovascular Issues in Pregnancy (3 papers). Shalina Taylor is often cited by papers focused on Pulmonary Hypertension Research and Treatments (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Cardiovascular Issues in Pregnancy (3 papers). Shalina Taylor collaborates with scholars based in United States, China and United Kingdom. Shalina Taylor's co-authors include Marlene Rabinovitch, Roham T. Zamanian, Aiqin Cao, M Snyder, Lingli Wang, A. A. Roger Thompson, Kévin Contrepois, Caiyun G. Li, Silin Sa and Nirmal Kumar Sampathkumar and has published in prestigious journals such as Circulation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Shalina Taylor

16 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shalina Taylor United States 13 238 207 152 95 67 17 589
Talha Ijaz United States 9 245 1.0× 210 1.0× 110 0.7× 86 0.9× 59 0.9× 13 568
Ihsan Chrifi Netherlands 15 285 1.2× 78 0.4× 168 1.1× 55 0.6× 103 1.5× 21 570
Astrid Weiß Germany 14 282 1.2× 380 1.8× 62 0.4× 93 1.0× 72 1.1× 31 689
Tong Huan Jin China 9 242 1.0× 282 1.4× 102 0.7× 35 0.4× 92 1.4× 15 684
Sili Zou China 13 230 1.0× 327 1.6× 95 0.6× 114 1.2× 116 1.7× 32 651
Neil Bowden United Kingdom 6 201 0.8× 66 0.3× 90 0.6× 64 0.7× 87 1.3× 8 376
Agne Frismantiene Switzerland 10 255 1.1× 63 0.3× 85 0.6× 54 0.6× 101 1.5× 12 499
Maarten M. Brandt Netherlands 17 280 1.2× 63 0.3× 109 0.7× 170 1.8× 117 1.7× 22 674
Aarti V. Shah United Kingdom 10 388 1.6× 94 0.5× 88 0.6× 36 0.4× 122 1.8× 13 630
Chenzhong Fu United States 10 374 1.6× 121 0.6× 129 0.8× 57 0.6× 121 1.8× 11 733

Countries citing papers authored by Shalina Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Shalina Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalina Taylor

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

All Works

17 of 17 papers shown
1.
Wang, Lingli, Jan-Renier Moonen, Aiqin Cao, et al.. (2023). Dysregulated Smooth Muscle Cell BMPR2–ARRB2 Axis Causes Pulmonary Hypertension. Circulation Research. 132(5). 545–564. 22 indexed citations
2.
Isobe, Sarasa, Ramesh V. Nair, Helen Kang, et al.. (2023). Reduced FOXF1 links unrepaired DNA damage to pulmonary arterial hypertension. Nature Communications. 14(1). 7578–7578. 6 indexed citations
3.
Moonen, Jan-Renier, James Chappell, Minyi Shi, et al.. (2022). KLF4 recruits SWI/SNF to increase chromatin accessibility and reprogram the endothelial enhancer landscape under laminar shear stress. Nature Communications. 13(1). 4941–4941. 44 indexed citations
4.
Shinohara, Tsutomu, Jan-Renier Moonen, Jason M. Szafron, et al.. (2022). Abstract 10270: High Shear Stress Decreases ERG Causing Endothelial to Mesenchymal Transition and Pulmonary Arterial Hypertension. Circulation. 146(Suppl_1). 1 indexed citations
5.
Otsuki, Shoichiro, Toshie Saito, Shalina Taylor, et al.. (2021). Monocyte released HERV-K dUTPase engages TLR4 and MCAM causing endothelial mesenchymal transition. JCI Insight. 6(15). 26 indexed citations
6.
Lu, Ryan, Shalina Taylor, Kévin Contrepois, et al.. (2021). Multi-omic profiling of primary mouse neutrophils predicts a pattern of sex- and age-related functional regulation. Nature Aging. 1(8). 715–733. 83 indexed citations
7.
Haddad, François, Kévin Contrepois, Myriam Amsallem, et al.. (2021). The Right Heart Network and Risk Stratification in Pulmonary Arterial Hypertension. CHEST Journal. 161(5). 1347–1359. 15 indexed citations
8.
Sweatt, Andrew J., Kazuya Miyagawa, Christopher J. Rhodes, et al.. (2021). Severe Pulmonary Arterial Hypertension Is Characterized by Increased Neutrophil Elastase and Relative Elafin Deficiency. CHEST Journal. 160(4). 1442–1458. 27 indexed citations
9.
Mao, Shuai, Shalina Taylor, Qubo Chen, Minzhou Zhang, & Aleksander Hinek. (2019). Sodium tanshinone IIA sulfonate prevents the adverse left ventricular remodelling: Focus on polymorphonuclear neutrophil‐derived granule components. Journal of Cellular and Molecular Medicine. 23(7). 4592–4600. 23 indexed citations
10.
Miyagawa, Kazuya, Minyi Shi, Pin-I Chen, et al.. (2019). Smooth Muscle Contact Drives Endothelial Regeneration by BMPR2-Notch1–Mediated Metabolic and Epigenetic Changes. Circulation Research. 124(2). 211–224. 92 indexed citations
11.
Taylor, Shalina, et al.. (2018). The Role of Neutrophils and Neutrophil Elastase in Pulmonary Arterial Hypertension. Frontiers in Medicine. 5. 217–217. 66 indexed citations
12.
Sa, Silin, Mingxia Gu, James Chappell, et al.. (2016). Induced Pluripotent Stem Cell Model of Pulmonary Arterial Hypertension Reveals Novel Gene Expression and Patient Specificity. American Journal of Respiratory and Critical Care Medicine. 195(7). 930–941. 70 indexed citations
13.
Wang, Gang, Xiaowen Liu, Nathan A. Sieracki, et al.. (2016). Oxidant Sensing by TRPM2 Inhibits Neutrophil Migration and Mitigates Inflammation. Developmental Cell. 38(5). 453–462. 52 indexed citations
14.
15.
Liu, Xiaowen, Tao Yang, Koya Suzuki, et al.. (2015). Moesin and myosin phosphatase confine neutrophil orientation in a chemotactic gradient. The Journal of Cell Biology. 208(3). 2083OIA12–2083OIA12. 1 indexed citations
16.
Liu, Xiaowen, Tao Yang, Koya Suzuki, et al.. (2015). Moesin and myosin phosphatase confine neutrophil orientation in a chemotactic gradient. The Journal of Experimental Medicine. 212(2). 267–280. 40 indexed citations
17.
Kezic, Jelena M., Shalina Taylor, Saurabh Kumar Gupta, et al.. (2011). Endotoxin-induced uveitis is primarily dependent on radiation-resistant cells and on MyD88 but not TRIF. Journal of Leukocyte Biology. 90(2). 305–311. 21 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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