Chris J. Sullivan

492 total citations
10 papers, 360 citations indexed

About

Chris J. Sullivan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chris J. Sullivan has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chris J. Sullivan's work include Fibroblast Growth Factor Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Hormonal and reproductive studies (1 paper). Chris J. Sullivan is often cited by papers focused on Fibroblast Growth Factor Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Hormonal and reproductive studies (1 paper). Chris J. Sullivan collaborates with scholars based in United States, Russia and Greece. Chris J. Sullivan's co-authors include James B. Hoying, Hunter Wessells, Jennifer K. Barton, Thomas H. Teal, Ian Luttrell, Thomas Doetschman, Mette A. Peters, Kameha R. Kidd, Kevin Greer and Chad M. Stiening and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Chris J. Sullivan

10 papers receiving 351 citations

Peers

Chris J. Sullivan

SURGE

PMH

EDM

I. J. Harvey United Kingdom

Veronica Contreras‐Shannon United States

Carmen Miano Italy

H. Opitz Germany

Venkatesh Katari India

Yadav Wagley United States

Jessika Appelt Germany

Megumi Yamaguchi Japan

Maria M. Alves Netherlands

I. J. Harvey United Kingdom

Chris J. Sullivan

190 ×1.3

19 ×0.3

33 ×0.5

SURGE

26 ×0.5

PMH

28 ×0.6

EDM

Citations per year, relative to Chris J. Sullivan Chris J. Sullivan (= 1×) peers I. J. Harvey

Countries citing papers authored by Chris J. Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Chris J. Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. Sullivan. 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 Chris J. Sullivan. The network helps show where Chris J. Sullivan may publish in the future.

Co-authorship network of co-authors of Chris J. Sullivan

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

All Works

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10 of 10 papers shown

Andrews, Nick, et al.. (2023). Benefits, barriers, and use of cover crops in the western United States: Regional survey results. Journal of Soil and Water Conservation. 78(3). 260–271. 5 indexed citations

Fox, Samuel E., Matthew Geniza, Sushma Naithani, et al.. (2014). De Novo Transcriptome Assembly and Analyses of Gene Expression during Photomorphogenesis in Diploid Wheat Triticum monococcum. PLoS ONE. 9(5). e96855–e96855. 46 indexed citations

Nunes, Sara S., Kevin Greer, Chad M. Stiening, et al.. (2009). Implanted microvessels progress through distinct neovascularization phenotypes. Microvascular Research. 79(1). 10–20. 70 indexed citations

Wessells, Hunter, Chris J. Sullivan, Yoshiaki Tsubota, et al.. (2009). Transcriptional profiling of human cavernosal endothelial cells reveals distinctive cell adhesion phenotype and role for claudin 11 in vascular barrier function. Physiological Genomics. 39(2). 100–108. 32 indexed citations

Wessells, Hunter, Thomas H. Teal, Ian Luttrell, & Chris J. Sullivan. (2006). Effect of endothelial cell-based iNOS gene transfer on cavernosal eNOS expression and mouse erectile responses. International Journal of Impotence Research. 18(5). 438–445. 13 indexed citations

Sullivan, Chris J., et al.. (2005). Microarray analysis reveals novel gene expression changes associated with erectile dysfunction in diabetic rats. Physiological Genomics. 23(2). 192–205. 59 indexed citations

Barton, Jennifer K., James B. Hoying, & Chris J. Sullivan. (2002). Use of Microbubbles as an Optical Coherence Tomography Contrast Agent. Academic Radiology. 9(1). S52–S55. 45 indexed citations

Sullivan, Chris J. & James B. Hoying. (2002). Flow-Dependent Remodeling in the Carotid Artery of Fibroblast Growth Factor-2 Knockout Mice. Arteriosclerosis Thrombosis and Vascular Biology. 22(7). 1100–1105. 53 indexed citations

Sullivan, Chris J., Thomas Doetschman, & James B. Hoying. (2002). Targeted disruption of the Fgf2 gene does not affect vascular growth in the mouse ischemic hindlimb. Journal of Applied Physiology. 93(6). 2009–2017. 36 indexed citations

10.

Sullivan, Chris J. & Chris P. Bolter. (1997). Influence of Angiotensin II on Transmission in the Superior Cervical Ganglion. Archives of Physiology and Biochemistry. 105(6). 577–582. 1 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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