Kasey Catt

11 total papers · 1.0k total citations
9 papers, 827 citations indexed

About

Kasey Catt is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Electrical and Electronic Engineering. According to data from OpenAlex, Kasey Catt has authored 9 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Polymers and Plastics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kasey Catt's work include Neuroscience and Neural Engineering (6 papers), Conducting polymers and applications (6 papers) and Advanced Memory and Neural Computing (2 papers). Kasey Catt is often cited by papers focused on Neuroscience and Neural Engineering (6 papers), Conducting polymers and applications (6 papers) and Advanced Memory and Neural Computing (2 papers). Kasey Catt collaborates with scholars based in United States, China and South Korea. Kasey Catt's co-authors include Xinyan Tracy Cui, Takashi D.Y. Kozai, Zhanhong Du, Ian Taylor, Patrick A. Cody, Elaine M. Robbins, Cassandra Happe, Xia Li, Valur Olafsson and Alberto L. Vazquez and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kasey Catt

9 papers receiving 821 citations

Author Peers

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

Author						Papers	Cites
Kasey Catt	548	341	328	269	223	9	827
Christian Bergaud	583 1.1×	335 1.0×	388 1.2×	438 1.6×	233 1.0×	34	1.0k
Zhanhong Du	715 1.3×	318 0.9×	304 0.9×	286 1.1×	300 1.3×	26	862
Jeffrey D. Uram	428 0.8×	268 0.8×	293 0.9×	507 1.9×	202 0.9×	8	891
Moshe David‐Pur	490 0.9×	160 0.5×	305 0.9×	389 1.4×	174 0.8×	19	834
Émeline Descamps	444 0.8×	262 0.8×	268 0.8×	325 1.2×	168 0.8×	25	724
Joana P. Neto	326 0.6×	105 0.3×	268 0.8×	145 0.5×	288 1.3×	12	834
Valerie A. Lee	326 0.6×	262 0.8×	125 0.4×	189 0.7×	145 0.7×	11	711
Tobias Nyberg	338 0.6×	477 1.4×	449 1.4×	506 1.9×	82 0.4×	20	1.0k
Kosmas Deligkaris	442 0.8×	91 0.3×	224 0.7×	305 1.1×	250 1.1×	7	932
Marc Olivier Heuschkel	573 1.0×	93 0.3×	230 0.7×	327 1.2×	257 1.2×	19	830

Countries citing papers authored by Kasey Catt

Since Specialization

Citations

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

Fields of papers citing papers by Kasey Catt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasey Catt

This figure shows the co-authorship network connecting the top 25 collaborators of Kasey Catt. A scholar is included among the top collaborators of Kasey Catt 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 Kasey Catt. Kasey Catt 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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