Ryan Middleton

2.8k total citations · 2 hit papers
31 papers, 2.1k citations indexed

About

Ryan Middleton is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Ryan Middleton has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 16 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Ryan Middleton's work include Tissue Engineering and Regenerative Medicine (14 papers), Extracellular vesicles in disease (7 papers) and Mesenchymal stem cell research (7 papers). Ryan Middleton is often cited by papers focused on Tissue Engineering and Regenerative Medicine (14 papers), Extracellular vesicles in disease (7 papers) and Mesenchymal stem cell research (7 papers). Ryan Middleton collaborates with scholars based in United States, Japan and China. Ryan Middleton's co-authors include Eduardo Marbán, Geoffrey de Couto, Jop H. van Berlo, Onur Kanisicak, Jason Karch, Ronald J. Vagnozzi, Jeffery D. Molkentin, Marjorie Maillet, Suh-Chin J. Lin and Jackelyn Valle and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Ryan Middleton

29 papers receiving 2.1k citations

Hit Papers

c-kit+ cells minimally contribute cardiomyocytes to the h... 2014 2026 2018 2022 2014 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Middleton United States 19 1.5k 968 532 439 373 31 2.1k
Zhenya Shen China 17 1.4k 0.9× 526 0.5× 316 0.6× 751 1.7× 292 0.8× 35 1.9k
Patrick van Vliet Netherlands 16 1.0k 0.7× 647 0.7× 181 0.3× 300 0.7× 239 0.6× 29 1.5k
Matthew Kiedrowski United States 12 767 0.5× 932 1.0× 351 0.7× 133 0.3× 332 0.9× 19 1.9k
Stephen H. Bartelmez United States 13 1.3k 0.9× 1.2k 1.3× 275 0.5× 137 0.3× 493 1.3× 21 2.6k
Luciana De Angelis Italy 15 1.7k 1.2× 1.3k 1.4× 228 0.4× 136 0.3× 401 1.1× 25 2.3k
Paul G. Stalboerger United States 20 775 0.5× 775 0.8× 183 0.3× 186 0.4× 154 0.4× 33 1.7k
Karl‐Henrik Grinnemo Sweden 21 752 0.5× 645 0.7× 267 0.5× 94 0.2× 339 0.9× 55 1.6k
Linda Marbán United States 25 2.4k 1.6× 2.4k 2.5× 979 1.8× 510 1.2× 982 2.6× 54 3.8k
Carolina Soler‐Botija Spain 29 881 0.6× 1.0k 1.0× 323 0.6× 108 0.2× 618 1.7× 65 2.0k
Mandana Haack‐Sørensen Denmark 28 1.2k 0.8× 1.2k 1.2× 174 0.3× 180 0.4× 533 1.4× 47 2.7k

Countries citing papers authored by Ryan Middleton

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Middleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Middleton

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Middleton. A scholar is included among the top collaborators of Ryan Middleton 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 Middleton. Ryan Middleton 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.
Shamagian, Lilian Grigorian, Russell G. Rogers, Kristin Luther, et al.. (2023). Rejuvenating effects of young extracellular vesicles in aged rats and in cellular models of human senescence. Scientific Reports. 13(1). 12240–12240. 14 indexed citations
3.
Middleton, Ryan, Ke Liao, Weixin Liu, et al.. (2023). Newt A1 cell-derived extracellular vesicles promote mammalian nerve growth. Scientific Reports. 13(1). 11829–11829. 3 indexed citations
5.
Antes, Travis J., Ryan Middleton, Kristin Luther, et al.. (2018). Targeting extracellular vesicles to injured tissue using membrane cloaking and surface display. Journal of Nanobiotechnology. 16(1). 61–61. 184 indexed citations
6.
Berlo, Jop H. van, Onur Kanisicak, Marjorie Maillet, et al.. (2018). van Berlo et al. reply. Nature. 555(7697). E18–E18. 5 indexed citations
7.
Middleton, Ryan, Mario Fournier, Xuan Xu, Eduardo Marbán, & Michael I. Lewis. (2017). Therapeutic benefits of intravenous cardiosphere-derived cell therapy in rats with pulmonary hypertension. PLoS ONE. 12(8). e0183557–e0183557. 19 indexed citations
8.
Middleton, Ryan, Eleni Tseliou, Travis J. Antes, & Eduardo Marbán. (2016). Abstract 19422: Newt Exosomes Are Shuttles of Bioactive RNAs and Proteins That Have Signaling Capabilities in Mammalian Systems of Cardiac Repair. Circulation. 1 indexed citations
10.
Tseliou, Eleni, Heidi Reich, Leandro Slipczuk, et al.. (2015). Fibroblasts Rendered Antifibrotic, Antiapoptotic, and Angiogenic by Priming With Cardiosphere-Derived Extracellular Membrane Vesicles. Journal of the American College of Cardiology. 66(6). 599–611. 125 indexed citations
11.
Kanazawa, Hideaki, Eleni Tseliou, Konstantinos Malliaras, et al.. (2015). Cellular Postconditioning. Circulation Heart Failure. 8(2). 322–332. 67 indexed citations
12.
Gallet, Romain, Eleni Tseliou, James Dawkins, et al.. (2015). Intracoronary Delivery of Self-Assembling Heart-Derived Microtissues (Cardiospheres) for Prevention of Adverse Remodeling in a Pig Model of Convalescent Myocardial Infarction. Circulation Cardiovascular Interventions. 8(5). 23 indexed citations
13.
Cheng, Ke, Deliang Shen, Michael Taylor Hensley, et al.. (2014). Magnetic antibody-linked nanomatchmakers for therapeutic cell targeting. Nature Communications. 5(1). 4880–4880. 114 indexed citations
14.
Malliaras, Konstantinos, Ahmed Ibrahim, Eleni Tseliou, et al.. (2014). Stimulation of endogenous cardioblasts by exogenous cell therapy after myocardial infarction. EMBO Molecular Medicine. 6(6). 760–777. 75 indexed citations
15.
Berlo, Jop H. van, Onur Kanisicak, Marjorie Maillet, et al.. (2014). c-kit+ cells minimally contribute cardiomyocytes to the heart. Nature. 509(7500). 337–341. 579 indexed citations breakdown →
16.
Yee, Kristine, Konstantinos Malliaras, Hideaki Kanazawa, et al.. (2014). Allogeneic Cardiospheres Delivered via Percutaneous Transendocardial Injection Increase Viable Myocardium, Decrease Scar Size, and Attenuate Cardiac Dilatation in Porcine Ischemic Cardiomyopathy. PLoS ONE. 9(12). e113805–e113805. 53 indexed citations
17.
18.
Middleton, Ryan & Eric A. Shelden. (2013). Small heat shock protein HSPB1 regulates growth of embryonic zebrafish craniofacial muscles. Experimental Cell Research. 319(6). 860–874. 19 indexed citations
19.
Tucker, Nathan R., et al.. (2011). HSF1 Is Essential for the Resistance of Zebrafish Eye and Brain Tissues to Hypoxia/Reperfusion Injury. PLoS ONE. 6(7). e22268–e22268. 26 indexed citations
20.
Middleton, Ryan, et al.. (2007). A Web-Based Application for Online Instructor Evaluations. Society for Information Technology & Teacher Education International Conference. 2007(1). 62–65. 2 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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