Joann M. Taylor

703 total citations
28 papers, 576 citations indexed

About

Joann M. Taylor is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joann M. Taylor has authored 28 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Epidemiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joann M. Taylor's work include Neonatal Respiratory Health Research (8 papers), Pulmonary Hypertension Research and Treatments (6 papers) and Trypanosoma species research and implications (6 papers). Joann M. Taylor is often cited by papers focused on Neonatal Respiratory Health Research (8 papers), Pulmonary Hypertension Research and Treatments (6 papers) and Trypanosoma species research and implications (6 papers). Joann M. Taylor collaborates with scholars based in United States, Germany and Philippines. Joann M. Taylor's co-authors include Kathryn N. Farrow, William F. Ward, David M. Engman, Sara K. Berkelhamer, Conrad L. Epting, Melvin D. Daniels, Miri Yoon, Patricia G. Spear, Janet Sharplin and Allan J. Franko and has published in prestigious journals such as Circulation, PLoS ONE and Cell Host & Microbe.

In The Last Decade

Joann M. Taylor

27 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joann M. Taylor United States 14 212 197 97 85 69 28 576
Jessica F White United Kingdom 12 74 0.3× 131 0.7× 173 1.8× 74 0.9× 44 0.6× 23 686
Anna Festa Italy 16 75 0.4× 119 0.6× 88 0.9× 114 1.3× 35 0.5× 30 566
Chunlin Wang China 16 204 1.0× 52 0.3× 205 2.1× 105 1.2× 42 0.6× 62 845
Mikael Maksimow Finland 15 75 0.4× 86 0.4× 356 3.7× 50 0.6× 85 1.2× 19 852
Brian Sims United States 16 158 0.7× 202 1.0× 442 4.6× 62 0.7× 43 0.6× 36 821
Hannes Hudalla Germany 15 77 0.4× 117 0.6× 126 1.3× 29 0.3× 58 0.8× 32 569
Peng He China 14 105 0.5× 63 0.3× 151 1.6× 62 0.7× 46 0.7× 54 594
Man Chun Cheung Hong Kong 7 140 0.7× 76 0.4× 185 1.9× 20 0.2× 29 0.4× 10 1.1k
Fabrizia Ferracin Switzerland 18 113 0.5× 44 0.2× 232 2.4× 94 1.1× 35 0.5× 26 781
Colin MacNeill United States 13 157 0.7× 121 0.6× 523 5.4× 151 1.8× 87 1.3× 27 1.0k

Countries citing papers authored by Joann M. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Joann M. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joann M. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Joann M. Taylor. A scholar is included among the top collaborators of Joann M. 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 Joann M. Taylor. Joann M. Taylor 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.
2.
Taylor, Joann M., et al.. (2017). Photoreceptor oxidative stress in hyperoxia-induced proliferative retinopathy accelerates rd8 degeneration. PLoS ONE. 12(7). e0180384–e0180384. 12 indexed citations
3.
Perez, Marta, Joann M. Taylor, Mary E. Robbins, et al.. (2017). Aberrant cGMP signaling persists during recovery in mice with oxygen-induced pulmonary hypertension. PLoS ONE. 12(8). e0180957–e0180957. 10 indexed citations
4.
5.
Perez, Marta, et al.. (2016). Dose-dependent effects of glucocorticoids on pulmonary vascular development in a murine model of hyperoxic lung injury. Pediatric Research. 79(5). 759–765. 5 indexed citations
6.
Taylor, Joann M., et al.. (2015). Right ventricular cyclic nucleotide signaling is decreased in hyperoxia-induced pulmonary hypertension in neonatal mice. American Journal of Physiology-Heart and Circulatory Physiology. 308(12). H1575–H1582. 20 indexed citations
7.
Bonney, Kevin M., Joann M. Taylor, Edward B. Thorp, Conrad L. Epting, & David M. Engman. (2015). Depletion of regulatory T cells decreases cardiac parasitosis and inflammation in experimental Chagas disease. Parasitology Research. 114(3). 1167–1178. 18 indexed citations
8.
Taylor, Joann M., et al.. (2014). Abstract 14786: Protein Kinase G mediates Hyperoxia-Induced Vascular Changes in Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension. Circulation. 1 indexed citations
9.
Fawzi, Amani A., et al.. (2014). Sildenafil Attenuates Vaso-Obliteration and Neovascularization in a Mouse Model of Retinopathy of Prematurity. Investigative Ophthalmology & Visual Science. 55(3). 1493–1493. 8 indexed citations
10.
Nozik‐Grayck, Eva, Crystal Woods, Joann M. Taylor, et al.. (2014). Selective depletion of vascular EC-SOD augments chronic hypoxic pulmonary hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(11). L868–L876. 43 indexed citations
11.
Berkelhamer, Sara K., et al.. (2013). Disrupted Pulmonary Artery Cyclic Guanosine Monophosphate Signaling in Mice with Hyperoxia-Induced Pulmonary Hypertension. American Journal of Respiratory Cell and Molecular Biology. 50(2). 369–378. 46 indexed citations
12.
Bonney, Kevin M., Joann M. Taylor, Melvin D. Daniels, Conrad L. Epting, & David M. Engman. (2011). Heat-Killed Trypanosoma cruzi Induces Acute Cardiac Damage and Polyantigenic Autoimmunity. PLoS ONE. 6(1). e14571–e14571. 35 indexed citations
13.
14.
Taylor, Joann M., Erick Lin, Miri Yoon, et al.. (2007). Alternative Entry Receptors for Herpes Simplex Virus and Their Roles in Disease. Cell Host & Microbe. 2(1). 19–28. 114 indexed citations
15.
Small, William, et al.. (1999). Mechanism of captopril toxicity to a human mammary ductal carcinoma cell line in the presence of copper. Breast Cancer Research and Treatment. 55(3). 223–229. 24 indexed citations
16.
Small, William, et al.. (1997). Captopril modulates hormone receptor concentration and inhibits proliferation of human mammary ductal carcinoma cells in culture. Breast Cancer Research and Treatment. 44(3). 217–224. 35 indexed citations
17.
Franko, Allan J., Janet Sharplin, William F. Ward, & Joann M. Taylor. (1996). Evidence for Two Patterns of Inheritance of Sensitivity to Induction of Lung Fibrosis in Mice by Radiation, One of Which Involves Two Genes. Radiation Research. 146(1). 68–68. 22 indexed citations
18.
Taylor, Joann M., et al.. (1994). Color Technology in Video Endscopy. Journal of Clinical Engineering. 19(6). 490–496. 1 indexed citations
19.
Taylor, Joann M.. (1993). Color Spaces: Language and Framework for Color. Color and Imaging Conference. 1(1). 6–11. 2 indexed citations
20.
Taylor, Joann M. & Fred W. Billmeyer. (1988). Multidimensional scaling of selected samples from the optical society of America uniform color scales. Color Research & Application. 13(2). 85–98. 8 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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