Jordan A. Pitt

14 total papers · 1.4k total citations
7 papers, 793 citations indexed

About

Jordan A. Pitt is a scholar working on Pollution, Materials Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jordan A. Pitt has authored 7 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 2 papers in Materials Chemistry and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Jordan A. Pitt's work include Microplastics and Plastic Pollution (5 papers), Nanoparticles: synthesis and applications (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Jordan A. Pitt is often cited by papers focused on Microplastics and Plastic Pollution (5 papers), Nanoparticles: synthesis and applications (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Jordan A. Pitt collaborates with scholars based in United States and Canada. Jordan A. Pitt's co-authors include Rafael Trevisan, Andrey Massarsky, Jordan S. Kozal, Richard T. Di Giulio, Edward D. Levin, Nishad Jayasundara, Mark R. Wiesner, Gordon Paterson, Ken G. Drouillard and Neelakanteswar Aluru and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Jordan A. Pitt

6 papers receiving 780 citations

Hit Papers

Uptake, tissue distributi... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jordan A. Pitt 716 337 269 194 167 7 793
Liyuan Qiang 706 1.0× 233 0.7× 309 1.1× 109 0.6× 182 1.1× 11 843
Manlu Shen 642 0.9× 193 0.6× 210 0.8× 130 0.7× 247 1.5× 7 815
Yan Zhang 614 0.9× 226 0.7× 218 0.8× 113 0.6× 159 1.0× 10 888
Jiajing Yang 612 0.9× 183 0.5× 210 0.8× 102 0.5× 132 0.8× 5 756
M Wolosker 699 1.0× 203 0.6× 328 1.2× 97 0.5× 140 0.8× 13 834
Jun-Nan Huang 573 0.8× 224 0.7× 178 0.7× 98 0.5× 98 0.6× 16 650
Annika Batel 802 1.1× 158 0.5× 450 1.7× 96 0.5× 229 1.4× 9 891
Moyan Hu 384 0.5× 169 0.5× 136 0.5× 110 0.6× 105 0.6× 11 655
Melissa Chernick 520 0.7× 138 0.4× 274 1.0× 75 0.4× 230 1.4× 20 776
Cuizhu Ma 747 1.0× 158 0.5× 425 1.6× 105 0.5× 90 0.5× 12 797

Countries citing papers authored by Jordan A. Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Jordan A. Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan A. Pitt

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