Kyle A. Kyburz

9 total papers · 935 total citations
7 papers, 777 citations indexed

About

Kyle A. Kyburz is a scholar working on Cell Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kyle A. Kyburz has authored 7 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 4 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kyle A. Kyburz's work include Cellular Mechanics and Interactions (4 papers), 3D Printing in Biomedical Research (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Kyle A. Kyburz is often cited by papers focused on Cellular Mechanics and Interactions (4 papers), 3D Printing in Biomedical Research (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Kyle A. Kyburz collaborates with scholars based in United States. Kyle A. Kyburz's co-authors include Kristi S. Anseth, Kelly M. Schultz, Tobin E. Brown, Emi A. Kiyotake, Daniel D. McKinnon, Anouk R. Killaars, Chun Yang, Frank W. DelRio‬, Hao Ma and Lena P. Basta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Acta Biomaterialia and Biomacromolecules.

In The Last Decade

Kyle A. Kyburz

7 papers receiving 775 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kyle A. Kyburz	461	287	237	165	120	7	777
Katarzyna A. Mosiewicz	569 1.2×	266 0.9×	214 0.9×	132 0.8×	200 1.7×	7	857
Nduka Enemchukwu	328 0.7×	128 0.4×	187 0.8×	139 0.8×	179 1.5×	8	675
Daniel D. McKinnon	442 1.0×	218 0.8×	283 1.2×	284 1.7×	99 0.8×	8	826
Mi Y. Kwon	434 0.9×	141 0.5×	250 1.1×	134 0.8×	105 0.9×	9	762
Yukie Aizawa	419 0.9×	136 0.5×	191 0.8×	95 0.6×	153 1.3×	6	642
Marko Mihajlovic	346 0.8×	125 0.4×	259 1.1×	238 1.4×	84 0.7×	17	752
Alexandra E. Halevi	295 0.6×	122 0.4×	199 0.8×	146 0.9×	137 1.1×	14	729
Christopher K. Arakawa	467 1.0×	97 0.3×	215 0.9×	91 0.6×	169 1.4×	12	723
Yingkai Liang	254 0.6×	128 0.4×	327 1.4×	177 1.1×	150 1.3×	13	719
Francis L. C. Morgan	383 0.8×	88 0.3×	152 0.6×	129 0.8×	111 0.9×	14	688

Countries citing papers authored by Kyle A. Kyburz

Since Specialization

Citations

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

Fields of papers citing papers by Kyle A. Kyburz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. Kyburz. 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 Kyle A. Kyburz. The network helps show where Kyle A. Kyburz may publish in the future.

Co-authorship network of co-authors of Kyle A. Kyburz

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

All Works

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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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