Peter Backeris

506 total citations
8 papers, 357 citations indexed

About

Peter Backeris is a scholar working on Surgery, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Peter Backeris has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Peter Backeris's work include Tissue Engineering and Regenerative Medicine (5 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neural Engineering (2 papers). Peter Backeris is often cited by papers focused on Tissue Engineering and Regenerative Medicine (5 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neural Engineering (2 papers). Peter Backeris collaborates with scholars based in United States, Hong Kong and France. Peter Backeris's co-authors include Kevin D. Costa, Roger J. Hajjar, Jean‐Sébastien Hulot, Camie W. Chan, Irene C. Turnbull, Wendy Keung, Ioannis Karakikes, Patrick K.W. Chan, Ronald A. Li and Evan Bardot and has published in prestigious journals such as PLoS ONE, Biomaterials and The FASEB Journal.

In The Last Decade

Peter Backeris

8 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Backeris United States	5	185	184	169	86	73	8	357
Edward C. Ruiz United States	4	138 0.7×	147 0.8×	114 0.7×	67 0.8×	47 0.6×	6	283
Charles M. Kerr United States	7	203 1.1×	171 0.9×	187 1.1×	55 0.6×	41 0.6×	10	376
Mirja L. Schulze Germany	6	186 1.0×	112 0.6×	100 0.6×	73 0.8×	80 1.1×	6	295
Tony Chour United States	7	194 1.0×	138 0.8×	147 0.9×	41 0.5×	40 0.5×	8	329
Grant Senyei United States	5	291 1.6×	183 1.0×	97 0.6×	76 0.9×	107 1.5×	10	391
Allen Kelly United Kingdom	8	162 0.9×	162 0.9×	79 0.5×	106 1.2×	62 0.8×	12	323
Tamer Mohamed United States	3	182 1.0×	120 0.7×	119 0.7×	38 0.4×	60 0.8×	8	280
Yuki Kurokawa United States	9	131 0.7×	88 0.5×	198 1.2×	63 0.7×	48 0.7×	16	353
Shiv Bhandari United States	8	197 1.1×	206 1.1×	151 0.9×	89 1.0×	55 0.8×	13	381
Ingra Vollert Germany	6	230 1.2×	292 1.6×	258 1.5×	105 1.2×	85 1.2×	7	503

Countries citing papers authored by Peter Backeris

Since Specialization

Citations

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

Fields of papers citing papers by Peter Backeris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Backeris

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

All Works

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8 of 8 papers shown

Keung, Wendy, Patrick K.W. Chan, Peter Backeris, et al.. (2019). Human Cardiac Ventricular‐Like Organoid Chambers and Tissue Strips From Pluripotent Stem Cells as a Two‐Tiered Assay for Inotropic Responses. Clinical Pharmacology & Therapeutics. 106(2). 402–414. 39 indexed citations

Keung, Wendy, Patrick K.W. Chan, Peter Backeris, et al.. (2019). Human cardiac ventricular organoid chambers and tissue strips from pluripotent stem cells as a two-tiered assay for inotropic responses: A blinded validation. Journal of Pharmacological and Toxicological Methods. 99. 106595–106595. 1 indexed citations

Backeris, Peter, Maria Suprun, Sunita L. D’Souza, et al.. (2018). Design and validation of an open-source modular Microplate Photoirradiation System for high-throughput photobiology experiments. PLoS ONE. 13(10). e0203597–e0203597. 5 indexed citations

Li, Ronald A., Wendy Keung, Timothy J. Cashman, et al.. (2018). Bioengineering an electro-mechanically functional miniature ventricular heart chamber from human pluripotent stem cells. Biomaterials. 163. 116–127. 122 indexed citations

Gabrilove, Janice, et al.. (2018). 2527 Mount Sinai health hackathon: Harnessing the power of collaboration to advance experiential team science education. Journal of Clinical and Translational Science. 2(S1). 58–58. 2 indexed citations

Chen, Jiqiu, Peter Backeris, Nadjib Hammoudi, et al.. (2017). Coronary capillary blood flow in a rat model of congestive heart failure. Journal of Applied Physiology. 124(3). 632–640. 4 indexed citations

Stillitano, Francesca, Irene C. Turnbull, Ioannis Karakikes, et al.. (2016). Genomic correction of familial cardiomyopathy in human engineered cardiac tissues. European Heart Journal. 37(43). 3282–3284. 51 indexed citations

Turnbull, Irene C., Ioannis Karakikes, Gregory Serrao, et al.. (2013). Advancing functional engineered cardiac tissues toward a preclinical model of human myocardium. The FASEB Journal. 28(2). 644–654. 133 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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