Paul A. Kuzmicky

22 total papers · 904 total citations
19 papers, 739 citations indexed

About

Paul A. Kuzmicky is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Automotive Engineering. According to data from OpenAlex, Paul A. Kuzmicky has authored 19 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 11 papers in Cancer Research and 6 papers in Automotive Engineering. Recurrent topics in Paul A. Kuzmicky's work include Carcinogens and Genotoxicity Assessment (11 papers), Vehicle emissions and performance (6 papers) and Air Quality and Health Impacts (6 papers). Paul A. Kuzmicky is often cited by papers focused on Carcinogens and Genotoxicity Assessment (11 papers), Vehicle emissions and performance (6 papers) and Air Quality and Health Impacts (6 papers). Paul A. Kuzmicky collaborates with scholars based in United States and Mexico. Paul A. Kuzmicky's co-authors include Norman Y. Kado, Robert A. Okamoto, Alberto Ayala, Reiko Kobayashi, Guadalupe Lóarca-Piña, Mark G. Knize, Christoph F. A. Vogel, Fumio Matsumura, Eric Sciullo and Elvira González de Mejı́a and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Paul A. Kuzmicky

19 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Paul A. Kuzmicky 372 203 170 83 76 19 739
Chiara Laura Battistelli 360 1.0× 214 1.1× 140 0.8× 71 0.9× 193 2.5× 27 787
Alfredo Nunziata 347 0.9× 56 0.3× 67 0.4× 82 1.0× 56 0.7× 24 693
Rainer Fuhst 519 1.4× 70 0.3× 189 1.1× 39 0.5× 45 0.6× 20 825
Dolores Helena Rodriguez Ferreira Rivero 426 1.1× 56 0.3× 42 0.2× 59 0.7× 37 0.5× 24 721
Silvestre B. Tejada 476 1.3× 308 1.5× 42 0.2× 12 0.1× 153 2.0× 23 843
Esra Mutlu 287 0.8× 26 0.1× 163 1.0× 169 2.0× 44 0.6× 51 692
Heung-Bin Lim 562 1.5× 69 0.3× 34 0.2× 103 1.2× 25 0.3× 30 870
Deborah A. Roubicek 374 1.0× 24 0.1× 194 1.1× 110 1.3× 21 0.3× 19 656
Jon M. Battershill 350 0.9× 29 0.1× 238 1.4× 83 1.0× 24 0.3× 13 689
David A. Dankovic 364 1.0× 22 0.1× 162 1.0× 41 0.5× 40 0.5× 34 772

Countries citing papers authored by Paul A. Kuzmicky

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Kuzmicky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul A. Kuzmicky

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