Stryder M. Meadows

1.8k total citations
38 papers, 1.3k citations indexed

About

Stryder M. Meadows is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stryder M. Meadows has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stryder M. Meadows's work include Angiogenesis and VEGF in Cancer (11 papers), Congenital heart defects research (6 papers) and Zebrafish Biomedical Research Applications (6 papers). Stryder M. Meadows is often cited by papers focused on Angiogenesis and VEGF in Cancer (11 papers), Congenital heart defects research (6 papers) and Zebrafish Biomedical Research Applications (6 papers). Stryder M. Meadows collaborates with scholars based in United States, United Kingdom and Germany. Stryder M. Meadows's co-authors include Paul A. Krieg, Ondine Cleaver, Angela M. Crist, Candace T. Myers, Matthew C. Salanga, Richard M. Cripps, Robert J. Garriock, Kathleen Kelly, Nehal Patel and Ke Xu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Stryder M. Meadows

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stryder M. Meadows United States 21 926 305 169 148 126 38 1.3k
Ivan T. Rebustini United States 12 612 0.7× 321 1.1× 108 0.6× 111 0.8× 87 0.7× 17 1.0k
Erine H. Budi United States 14 913 1.0× 295 1.0× 281 1.7× 97 0.7× 140 1.1× 17 1.6k
Li‐Kun Phng Japan 10 790 0.9× 338 1.1× 162 1.0× 107 0.7× 85 0.7× 17 1.2k
G. C. Teg Pipes United States 11 1.1k 1.2× 245 0.8× 97 0.6× 219 1.5× 112 0.9× 11 1.6k
Jasmin Jacob–Hirsch Israel 13 570 0.6× 137 0.4× 196 1.2× 114 0.8× 168 1.3× 15 1.1k
Nina Schumacher Germany 15 866 0.9× 165 0.5× 101 0.6× 83 0.6× 80 0.6× 24 1.2k
T. Shane Shih United States 8 690 0.7× 184 0.6× 222 1.3× 140 0.9× 248 2.0× 9 1.4k
Garrett C. Heffner United States 11 1.2k 1.3× 187 0.6× 179 1.1× 126 0.9× 54 0.4× 15 1.5k
Katsumi Fumoto Japan 20 871 0.9× 350 1.1× 149 0.9× 60 0.4× 74 0.6× 25 1.2k
Michael J. Kern United States 22 1.2k 1.3× 194 0.6× 118 0.7× 148 1.0× 149 1.2× 36 1.6k

Countries citing papers authored by Stryder M. Meadows

Since Specialization
Citations

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

Fields of papers citing papers by Stryder M. Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stryder M. Meadows

This figure shows the co-authorship network connecting the top 25 collaborators of Stryder M. Meadows. A scholar is included among the top collaborators of Stryder M. Meadows 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 Stryder M. Meadows. Stryder M. Meadows 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.
Zhao, Haitian, Zhimin Wang, Santiago Ruiz, et al.. (2024). CDK6-mediated endothelial cell cycle acceleration drives arteriovenous malformations in hereditary hemorrhagic telangiectasia. Nature Cardiovascular Research. 3(11). 1301–1317. 3 indexed citations
2.
Meadows, Stryder M., et al.. (2024). Zmiz1 is a novel regulator of brain development associated with autism and intellectual disability. Frontiers in Psychiatry. 15. 1375492–1375492. 3 indexed citations
3.
Ola, Roxana, Adrienne M. Hammill, Marianne S. Clancy, et al.. (2023). Executive summary of the 14th HHT international scientific conference. Angiogenesis. 26(S1). 27–37. 6 indexed citations
4.
Nomura-Kitabayashi, Aya, Pallavi Chandakkar, Jia Fan, et al.. (2023). ANG2 Blockade Diminishes Proangiogenic Cerebrovascular Defects Associated With Models of Hereditary Hemorrhagic Telangiectasia. Arteriosclerosis Thrombosis and Vascular Biology. 43(8). 1384–1403. 8 indexed citations
5.
Thompson, Michael G., Masahide Sakabe, Jiukuan Hao, et al.. (2023). PRDM16 regulates arterial development and vascular integrity. Frontiers in Physiology. 14. 1165379–1165379. 5 indexed citations
6.
7.
Bierschenk, Susanne, et al.. (2018). A Novel ex vivo Mouse Mesometrium Culture Model for Investigating Angiogenesis in Microvascular Networks. Journal of Vascular Research. 55(3). 125–135. 8 indexed citations
8.
Crist, Angela M., et al.. (2018). Vascular deficiency of Smad4 causes arteriovenous malformations: a mouse model of Hereditary Hemorrhagic Telangiectasia. Angiogenesis. 21(2). 363–380. 87 indexed citations
9.
Barry, David M., Ke Xu, Stryder M. Meadows, et al.. (2015). Cdc42 is required for cytoskeletal support of endothelial cell adhesion during blood vessel formation. Development. 142(17). 3058–70. 84 indexed citations
10.
Meadows, Stryder M. & Ondine Cleaver. (2015). Vascular patterning: coordinated signals keep blood vessels on track. Current Opinion in Genetics & Development. 32. 86–91. 8 indexed citations
11.
Meadows, Stryder M. & Ondine Cleaver. (2015). Annexin A3 Regulates Early Blood Vessel Formation. PLoS ONE. 10(7). e0132580–e0132580. 23 indexed citations
12.
Nongthomba, Upendra, et al.. (2011). Cardiac remodeling in Drosophila arises from changes in actin gene expression and from a contribution of lymph gland-like cells to the heart musculature. Mechanisms of Development. 128(3-4). 222–233. 25 indexed citations
13.
Meadows, Stryder M., Candace T. Myers, & Paul A. Krieg. (2011). Regulation of endothelial cell development by ETS transcription factors. Seminars in Cell and Developmental Biology. 22(9). 976–984. 62 indexed citations
14.
Salanga, Matthew C., Stryder M. Meadows, Candace T. Myers, & Paul A. Krieg. (2010). ETS family protein ETV2 is required for initiation of the endothelial lineage but not the hematopoietic lineage in the Xenopus embryo. Developmental Dynamics. 239(4). 1178–1187. 42 indexed citations
15.
Abdel‐Rahman, Mohamed H., et al.. (2010). Investigation of the potential utility of a linomide analogue for treatment of choroidal neovascularization. Experimental Eye Research. 91(6). 837–843. 3 indexed citations
16.
Val, Sarah De, C. Neil, Stryder M. Meadows, et al.. (2008). Combinatorial Regulation of Endothelial Gene Expression by Ets and Forkhead Transcription Factors. Cell. 135(6). 1053–1064. 267 indexed citations
17.
Yang, Yuanquan, et al.. (2005). Anti–Angiogenic Effect of Linomide Analogue. Investigative Ophthalmology & Visual Science. 46(13). 4166–4166. 1 indexed citations
18.
Garriock, Robert J., Stryder M. Meadows, & Paul A. Krieg. (2005). Developmental expression and comparative genomic analysis of Xenopus cardiac myosin heavy chain genes. Developmental Dynamics. 233(4). 1287–1293. 23 indexed citations
19.
Kelly, Kathleen, Stryder M. Meadows, & Richard M. Cripps. (2002). Drosophila MEF2 is a direct regulator of Actin57B transcription in cardiac, skeletal, and visceral muscle lineages. Mechanisms of Development. 110(1-2). 39–50. 55 indexed citations
20.
Lovato, TyAnna L., et al.. (2001). Characterization of muscle actin genes in Drosophila virilis reveals significant molecular complexity in skeletal muscle types. Insect Molecular Biology. 10(4). 333–340. 17 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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