Ryan P. Dawes

653 total citations
10 papers, 448 citations indexed

About

Ryan P. Dawes is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Ryan P. Dawes has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Psychiatry and Mental health. Recurrent topics in Ryan P. Dawes's work include Cancer, Stress, Anesthesia, and Immune Response (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Vagus Nerve Stimulation Research (2 papers). Ryan P. Dawes is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Vagus Nerve Stimulation Research (2 papers). Ryan P. Dawes collaborates with scholars based in United States and Netherlands. Ryan P. Dawes's co-authors include Kelley S. Madden, Mercedes J. Szpunar, Edward B. Brown, Kathleen A. Burke, Mriganka Sur, Jean M. Bidlack, Ania K. Majewska, Grayson O. Sipe, Rianne Stowell and Brendan S. Whitelaw and has published in prestigious journals such as Nature Neuroscience, Scientific Reports and Biophysical Journal.

In The Last Decade

Ryan P. Dawes

9 papers receiving 446 citations

Peers

Ryan P. Dawes
Deepti Chugh Sweden
Eyiyemisi C. Damisah United States
Larissa Kraus Germany
Sebastian Illes Sweden
Klaus Hammer Germany
Emily A. Kelly United States
Song Chen China
Emanuele Tirotta United States
Katherine A. Estes United States
Johanna Jackson United Kingdom
Deepti Chugh Sweden
Ryan P. Dawes
Citations per year, relative to Ryan P. Dawes Ryan P. Dawes (= 1×) peers Deepti Chugh

Countries citing papers authored by Ryan P. Dawes

Since Specialization
Citations

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

Fields of papers citing papers by Ryan P. Dawes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan P. Dawes. 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 Ryan P. Dawes. The network helps show where Ryan P. Dawes may publish in the future.

Co-authorship network of co-authors of Ryan P. Dawes

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

All Works

10 of 10 papers shown
1.
Dawes, Ryan P., et al.. (2020). Chronic Stress Exposure Suppresses Mammary Tumor Growth and Reduces Circulating Exosome TGF-β Content via β-Adrenergic Receptor Signaling in MMTV-PyMT Mice. Breast Cancer Basic and Clinical Research. 14. 2222489015–2222489015. 16 indexed citations
2.
Stowell, Rianne, Grayson O. Sipe, Ryan P. Dawes, et al.. (2019). Noradrenergic signaling in the wakeful state inhibits microglial surveillance and synaptic plasticity in the mouse visual cortex. Nature Neuroscience. 22(11). 1782–1792. 215 indexed citations
3.
Dawes, Ryan P., et al.. (2018). Chronic cigarette smoke exposure drives spiral ganglion neuron loss in mice. Scientific Reports. 8(1). 5746–5746. 9 indexed citations
4.
Sterling, Sarah M., Ryan P. Dawes, Edward S. Allgeyer, Sharon Ashworth, & David J. Neivandt. (2015). Comparison of Actin- and Glass-Supported Phospholipid Bilayer Diffusion Coefficients. Biophysical Journal. 108(8). 1946–1953. 13 indexed citations
5.
Burke, Kathleen A., Marcel Smid, Ryan P. Dawes, et al.. (2015). Using second harmonic generation to predict patient outcome in solid tumors. BMC Cancer. 15(1). 929–929. 37 indexed citations
6.
Brown, Edward B., et al.. (2015). Semi-solid tumor model in Xenopus laevis/gilli cloned tadpoles for intravital study of neovascularization, immune cells and melanophore infiltration. Developmental Biology. 408(2). 205–212. 12 indexed citations
7.
Szpunar, Mercedes J., Elizabeth Belcher, Ryan P. Dawes, & Kelley S. Madden. (2015). Sympathetic innervation, norepinephrine content, and norepinephrine turnover in orthotopic and spontaneous models of breast cancer. Brain Behavior and Immunity. 53. 223–233. 59 indexed citations
8.
Dawes, Ryan P., Daniel Byun, Edward B. Brown, & Kelley S. Madden. (2015). Psychosocial stress suppresses tumor progression in a murine model of spontaneous, metastatic breast cancer. Brain Behavior and Immunity. 49. e28–e28.
9.
Burke, Kathleen A., et al.. (2015). Second-harmonic generation scattering directionality predicts tumor cell motility in collagen gels. Journal of Biomedical Optics. 20(5). 51024–51024. 16 indexed citations
10.
Szpunar, Mercedes J., Kathleen A. Burke, Ryan P. Dawes, Edward B. Brown, & Kelley S. Madden. (2013). The Antidepressant Desipramine and α2-Adrenergic Receptor Activation Promote Breast Tumor Progression in Association with Altered Collagen Structure. Cancer Prevention Research. 6(12). 1262–1272. 71 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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