Kyle T. Householder

15 total papers · 548 total citations
10 papers, 421 citations indexed

About

Kyle T. Householder is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomaterials. According to data from OpenAlex, Kyle T. Householder has authored 10 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Kyle T. Householder's work include Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (2 papers) and Neuroscience and Neural Engineering (2 papers). Kyle T. Householder is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (2 papers) and Neuroscience and Neural Engineering (2 papers). Kyle T. Householder collaborates with scholars based in United States, Switzerland and South Korea. Kyle T. Householder's co-authors include Rachael W. Sirianni, Eugene P. Chung, Danielle M. DiPerna, Jeffrey R. Capadona, Kelsey A. Potter, Christoph Weder, Mehdi Jorfi, E. Johan Foster, Robert J. Wechsler‐Reya and Harshil Dhruv and has published in prestigious journals such as Biomaterials, Cancer Research and Scientific Reports.

In The Last Decade

Kyle T. Householder

10 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
Kyle T. Householder 148 134 113 111 65 10 421
Conor P. Foley 117 0.8× 91 0.7× 98 0.9× 160 1.4× 40 0.6× 12 415
Cátia D. F. Lopes 154 1.0× 71 0.5× 215 1.9× 78 0.7× 27 0.4× 20 465
Farrah S. Mohammed 101 0.7× 79 0.6× 86 0.8× 148 1.3× 54 0.8× 7 382
Christophe Jollivet 237 1.6× 92 0.7× 105 0.9× 57 0.5× 17 0.3× 8 395
Jia Nong 111 0.8× 86 0.6× 171 1.5× 90 0.8× 43 0.7× 22 452
Haigang Gu 133 0.9× 52 0.4× 165 1.5× 100 0.9× 20 0.3× 16 420
Bhairavi Srinageshwar 67 0.5× 104 0.8× 227 2.0× 72 0.6× 36 0.6× 20 433
Sun-Hyun Park 69 0.5× 96 0.7× 145 1.3× 98 0.9× 16 0.2× 16 474
Kurt E. Schlageter 101 0.7× 77 0.6× 112 1.0× 72 0.6× 91 1.4× 9 420
Ilaria Cambianica 63 0.4× 184 1.4× 206 1.8× 54 0.5× 45 0.7× 8 423

Countries citing papers authored by Kyle T. Householder

Since Specialization
Citations

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

Fields of papers citing papers by Kyle T. Householder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle T. Householder

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle T. Householder. A scholar is included among the top collaborators of Kyle T. Householder 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 T. Householder. Kyle T. Householder 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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