Kelly A. Shipkowski

39 total papers · 798 total citations
19 papers, 560 citations indexed

About

Kelly A. Shipkowski is a scholar working on Immunology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Kelly A. Shipkowski has authored 19 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Biomedical Engineering and 5 papers in Materials Chemistry. Recurrent topics in Kelly A. Shipkowski's work include Graphene and Nanomaterials Applications (5 papers), Nanoparticles: synthesis and applications (5 papers) and Immunotoxicology and immune responses (4 papers). Kelly A. Shipkowski is often cited by papers focused on Graphene and Nanomaterials Applications (5 papers), Nanoparticles: synthesis and applications (5 papers) and Immunotoxicology and immune responses (4 papers). Kelly A. Shipkowski collaborates with scholars based in United States and Netherlands. Kelly A. Shipkowski's co-authors include Dori R. Germolec, Ellen W. Evans, Rachel P. Frawley, James C. Bonner, Elizabeth A. Thompson, Alexia J. Taylor, Gregory N. Parsons, Brian C. Sayers, Erinn C. Dandley and Nigel J. Walker and has published in prestigious journals such as PLoS ONE, Environment International and Food and Chemical Toxicology.

In The Last Decade

Kelly A. Shipkowski

19 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Kelly A. Shipkowski 118 113 91 76 76 19 560
Ji Wang 131 1.1× 237 2.1× 45 0.5× 64 0.8× 81 1.1× 14 617
Marta Staruchová 84 0.7× 232 2.1× 126 1.4× 50 0.7× 36 0.5× 34 680
Himangsu K. Bora 83 0.7× 194 1.7× 126 1.4× 50 0.7× 42 0.6× 23 657
M. Leroux 63 0.5× 188 1.7× 138 1.5× 107 1.4× 58 0.8× 38 631
Ji Wang 145 1.2× 188 1.7× 150 1.6× 47 0.6× 67 0.9× 29 569
Aurélia Líšková 146 1.2× 120 1.1× 151 1.7× 75 1.0× 96 1.3× 36 643
José Luis Ventura-Gallegos 69 0.6× 198 1.8× 97 1.1× 66 0.9× 38 0.5× 37 595
Mazen M. Ghaith 87 0.7× 124 1.1× 78 0.9× 20 0.3× 70 0.9× 33 653
Sung-Hyeuk Park 89 0.8× 161 1.4× 59 0.6× 62 0.8× 27 0.4× 22 533
Shupei Zhou 209 1.8× 162 1.4× 106 1.2× 29 0.4× 57 0.8× 19 537

Countries citing papers authored by Kelly A. Shipkowski

Since Specialization
Citations

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

Fields of papers citing papers by Kelly A. Shipkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly A. Shipkowski

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