Bryan Rech

856 total citations · 1 hit paper
7 papers, 677 citations indexed

About

Bryan Rech is a scholar working on Surgery, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Bryan Rech has authored 7 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Biomedical Engineering and 2 papers in Organic Chemistry. Recurrent topics in Bryan Rech's work include Coronary Interventions and Diagnostics (2 papers), Mechanical Circulatory Support Devices (2 papers) and Congenital Heart Disease Studies (2 papers). Bryan Rech is often cited by papers focused on Coronary Interventions and Diagnostics (2 papers), Mechanical Circulatory Support Devices (2 papers) and Congenital Heart Disease Studies (2 papers). Bryan Rech collaborates with scholars based in United States and United Kingdom. Bryan Rech's co-authors include Robin Shandas, Craig Lanning, Ken Gall, Christopher M. Yakacki, Rui Wang, François Lacour-Gayet, Șerban Stoica, Steven P. Goldberg, James Chen and Jiusheng Chen and has published in prestigious journals such as Biomaterials, The Annals of Thoracic Surgery and Journal of Biomedical Materials Research Part A.

In The Last Decade

Bryan Rech

7 papers receiving 667 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unconstrained recovery characterization of shape-memory polymer networks for cardiovascular applications

2007 476 citations Christopher M. Yakacki, Robin Shandas et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Rech United States	6	430	265	163	128	125	7	677
Pooja Singhal United States	10	692 1.6×	267 1.0×	213 1.3×	170 1.3×	255 2.0×	17	956
Hao‐Ming Hsiao Taiwan	11	70 0.2×	157 0.6×	87 0.5×	57 0.4×	84 0.7×	31	415
Patrick R. Buckley United States	6	411 1.0×	225 0.8×	159 1.0×	130 1.0×	114 0.9×	7	547
Leonardo E. Millon Canada	9	74 0.2×	245 0.9×	34 0.2×	67 0.5×	428 3.4×	9	672
Abhijit Vijay Salvekar Singapore	9	245 0.6×	186 0.7×	81 0.5×	130 1.0×	122 1.0×	10	437
Elena Maria Brach Del Prever Italy	14	150 0.3×	106 0.4×	86 0.5×	216 1.7×	47 0.4×	31	990
Beata A. Butruk-Raszeja Poland	15	101 0.2×	297 1.1×	59 0.4×	27 0.2×	361 2.9×	37	666
Dongfei Zhang China	9	161 0.4×	337 1.3×	82 0.5×	111 0.9×	307 2.5×	22	975
A. Revathi India	10	111 0.3×	133 0.5×	163 1.0×	141 1.1×	34 0.3×	24	388
Marcin Kaczmarek Poland	12	96 0.2×	200 0.8×	216 1.3×	120 0.9×	88 0.7×	54	542

Countries citing papers authored by Bryan Rech

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Rech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Rech

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Rentschler, Mark E., et al.. (2013). Integrating a novel shape memory polymer into surgical meshes decreases placement time in laparoscopic surgery: An in vitro and acute in vivo study. Journal of Biomedical Materials Research Part A. 101A(9). 2613–2620. 16 indexed citations

2.

Zhang, Fuxing, Craig Lanning, Alex J. Barker, et al.. (2011). In Vitro and Preliminary In Vivo Validation of Echo Particle Image Velocimetry in Carotid Vascular Imaging. Ultrasound in Medicine & Biology. 37(3). 450–464. 78 indexed citations

3.

Lacour-Gayet, François, Craig Lanning, Șerban Stoica, et al.. (2009). An Artificial Right Ventricle for Failing Fontan: In Vitro and Computational Study. The Annals of Thoracic Surgery. 88(1). 170–176. 54 indexed citations

4.

Yakacki, Christopher M., et al.. (2008). Cytotoxicity and thermomechanical behavior of biomedical shape-memory polymer networks post-sterilization. Biomedical Materials. 3(1). 15010–15010. 36 indexed citations

5.

Zhang, Fuxing, et al.. (2008). Systematic validation of the echo particle image velocimetry technique using a patient specific carotid bifurcation model. 9–12. 2 indexed citations

6.

Yakacki, Christopher M., et al.. (2007). Unconstrained recovery characterization of shape-memory polymer networks for cardiovascular applications. Biomaterials. 28(14). 2255–2263. 476 indexed citations breakdown →

7.

Wang, Rui, François Lacour-Gayet, Craig Lanning, et al.. (2006). Initial Experience With the Development and Numerical and In Vitro Studies of A Novel Low-Pressure Artificial Right Ventricle for Pediatric Fontan Patients. ASAIO Journal. 52(6). 682–692. 15 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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