Jeffrey T. Krawiec

789 total citations · 1 hit paper
6 papers, 582 citations indexed

About

Jeffrey T. Krawiec is a scholar working on Surgery, Genetics and Biomaterials. According to data from OpenAlex, Jeffrey T. Krawiec has authored 6 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Genetics and 4 papers in Biomaterials. Recurrent topics in Jeffrey T. Krawiec's work include Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jeffrey T. Krawiec is often cited by papers focused on Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Jeffrey T. Krawiec collaborates with scholars based in United States, Taiwan and Italy. Jeffrey T. Krawiec's co-authors include David A. Vorp, Alkiviadis Tsamis, Justin S. Weinbaum, William R. Wagner, J. Peter Rubin, A. D’Amore, Han-Tsung Liao, Simon C. Watkins, Julie A. Phillippi and Alexander Josowitz and has published in prestigious journals such as Biomaterials, Journal of Thoracic and Cardiovascular Surgery and Journal of Vascular Surgery.

In The Last Decade

Jeffrey T. Krawiec

6 papers receiving 577 citations

Hit Papers

Elastin and collagen fibre microstructure of the human ao... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey T. Krawiec United States 6 226 222 181 161 135 6 582
Sawa Yoshiki Japan 12 320 1.4× 115 0.5× 109 0.6× 144 0.9× 81 0.6× 20 584
Pamela Somers Belgium 14 483 2.1× 147 0.7× 254 1.4× 183 1.1× 156 1.2× 27 807
Douglas W. Chew United States 5 228 1.0× 110 0.5× 172 1.0× 161 1.0× 56 0.4× 7 465
Darren Haskett United States 11 192 0.8× 199 0.9× 193 1.1× 168 1.0× 92 0.7× 14 474
Ryo Aeba Japan 15 605 2.7× 219 1.0× 171 0.9× 79 0.5× 147 1.1× 64 888
Ulrich Stock Germany 11 455 2.0× 68 0.3× 207 1.1× 351 2.2× 177 1.3× 26 692
Haifa Hong China 15 312 1.4× 262 1.2× 94 0.5× 70 0.4× 211 1.6× 67 770
Ludovic Melly Switzerland 13 267 1.2× 53 0.2× 133 0.7× 141 0.9× 159 1.2× 21 596
Zane S. Jackson Canada 5 186 0.8× 112 0.5× 123 0.7× 44 0.3× 117 0.9× 6 382
Avione Y. Lee United States 11 228 1.0× 70 0.3× 132 0.7× 179 1.1× 45 0.3× 16 342

Countries citing papers authored by Jeffrey T. Krawiec

Since Specialization
Citations

This map shows the geographic impact of Jeffrey T. Krawiec'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 Jeffrey T. Krawiec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Krawiec more than expected).

Fields of papers citing papers by Jeffrey T. Krawiec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey T. Krawiec. 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 Jeffrey T. Krawiec. The network helps show where Jeffrey T. Krawiec may publish in the future.

Co-authorship network of co-authors of Jeffrey T. Krawiec

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

All Works

6 of 6 papers shown
1.
Krawiec, Jeffrey T., Justin S. Weinbaum, Han-Tsung Liao, et al.. (2016). In Vivo Functional Evaluation of Tissue-Engineered Vascular Grafts Fabricated Using Human Adipose-Derived Stem Cells from High Cardiovascular Risk Populations. Tissue Engineering Part A. 22(9-10). 765–775. 36 indexed citations
2.
Krawiec, Jeffrey T., Han-Tsung Liao, A. D’Amore, et al.. (2016). Evaluation of the stromal vascular fraction of adipose tissue as the basis for a stem cell-based tissue-engineered vascular graft. Journal of Vascular Surgery. 66(3). 883–890.e1. 34 indexed citations
3.
Tsamis, Alkiviadis, Julie A. Phillippi, Jeffrey T. Krawiec, et al.. (2016). Extracellular matrix fiber microarchitecture is region-specific in bicuspid aortic valve-associated ascending aortopathy. Journal of Thoracic and Cardiovascular Surgery. 151(6). 1718–1728.e5. 31 indexed citations
4.
Krawiec, Jeffrey T., Justin S. Weinbaum, Claudette M. St. Croix, et al.. (2014). A Cautionary Tale for Autologous Vascular Tissue Engineering: Impact of Human Demographics on the Ability of Adipose-Derived Mesenchymal Stem Cells to Recruit and Differentiate into Smooth Muscle Cells. Tissue Engineering Part A. 21(3-4). 426–437. 25 indexed citations
5.
Tsamis, Alkiviadis, Jeffrey T. Krawiec, & David A. Vorp. (2013). Elastin and collagen fibre microstructure of the human aorta in ageing and disease: a review. Journal of The Royal Society Interface. 10(83). 20121004–20121004. 365 indexed citations breakdown →
6.
Krawiec, Jeffrey T. & David A. Vorp. (2012). Adult stem cell-based tissue engineered blood vessels: A review. Biomaterials. 33(12). 3388–3400. 91 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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