Phillip J. Wakelyn

65 total papers · 982 total citations
34 papers, 578 citations indexed

About

Phillip J. Wakelyn is a scholar working on Polymers and Plastics, Plant Science and Biomaterials. According to data from OpenAlex, Phillip J. Wakelyn has authored 34 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Polymers and Plastics, 9 papers in Plant Science and 3 papers in Biomaterials. Recurrent topics in Phillip J. Wakelyn's work include Textile materials and evaluations (10 papers), Research in Cotton Cultivation (7 papers) and Flame retardant materials and properties (3 papers). Phillip J. Wakelyn is often cited by papers focused on Textile materials and evaluations (10 papers), Research in Cotton Cultivation (7 papers) and Flame retardant materials and properties (3 papers). Phillip J. Wakelyn collaborates with scholars based in United States, United Kingdom and Egypt. Phillip J. Wakelyn's co-authors include Peter J. Wan, Minori Uchimiya, Robert D. Stipanovic, Elena Graves, Michael W. Easson, SeChin Chang, Brian Condon, Alois A. Bell, Chanel Fortier and Thach‐Mien Nguyen and has published in prestigious journals such as Analytica Chimica Acta, Phytochemistry and Journal of the American Oil Chemists Society.

In The Last Decade

Phillip J. Wakelyn

31 papers receiving 541 citations

Hit Papers

Cotton Fiber Chemistry an... 2006 2026 2012 2019 2006 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Phillip J. Wakelyn 233 106 102 85 80 34 578
S.M. El‐Sawy 232 1.0× 70 0.7× 88 0.9× 92 1.1× 121 1.5× 36 645
Adel B. Shehata 248 1.1× 94 0.9× 29 0.3× 102 1.2× 48 0.6× 53 685
S. Basak 477 2.0× 36 0.3× 141 1.4× 162 1.9× 170 2.1× 46 694
Guadalupe Sanchez‐Olivares 308 1.3× 89 0.8× 25 0.2× 51 0.6× 177 2.2× 33 648
Maurice Kor Ndikontar 187 0.8× 99 0.9× 161 1.6× 101 1.2× 119 1.5× 29 509
I. Holme 148 0.6× 34 0.3× 208 2.0× 81 1.0× 82 1.0× 28 501
Yang Gao 67 0.3× 74 0.7× 39 0.4× 263 3.1× 105 1.3× 25 658
Teija Tirri 278 1.2× 53 0.5× 17 0.2× 159 1.9× 94 1.2× 33 501
C. N. Saikia 200 0.9× 118 1.1× 193 1.9× 250 2.9× 281 3.5× 32 672
Pintu Pandit 143 0.6× 48 0.5× 314 3.1× 107 1.3× 163 2.0× 32 612

Countries citing papers authored by Phillip J. Wakelyn

Since Specialization
Citations

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

Fields of papers citing papers by Phillip J. Wakelyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip J. Wakelyn. 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 Phillip J. Wakelyn. The network helps show where Phillip J. Wakelyn may publish in the future.

Co-authorship network of co-authors of Phillip J. Wakelyn

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip J. Wakelyn. A scholar is included among the top collaborators of Phillip J. Wakelyn 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 Phillip J. Wakelyn. Phillip J. Wakelyn 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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