Sam J. Parkinson

18 total papers · 614 total citations
15 papers, 468 citations indexed

About

Sam J. Parkinson is a scholar working on Organic Chemistry, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Sam J. Parkinson has authored 15 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 10 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Sam J. Parkinson's work include Advanced Polymer Synthesis and Characterization (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Block Copolymer Self-Assembly (3 papers). Sam J. Parkinson is often cited by papers focused on Advanced Polymer Synthesis and Characterization (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Block Copolymer Self-Assembly (3 papers). Sam J. Parkinson collaborates with scholars based in United Kingdom, United States and Germany. Sam J. Parkinson's co-authors include Rachel K. O’Reilly, Nicholas J. Warren, Amrita Sikder, Richard Napier, Amanda K. Pearce, Richard A. Bourne, Nicole Hondow, Miriam L. Gifford, Iseult Lynch and Laihui Xiao and has published in prestigious journals such as Nature Communications, Macromolecules and Chemical Communications.

In The Last Decade

Sam J. Parkinson

15 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Sam J. Parkinson 209 153 152 141 58 15 468
Parshuram G. Shukla 135 0.6× 88 0.6× 150 1.0× 147 1.0× 32 0.6× 19 497
Tengfei Fan 130 0.6× 79 0.5× 79 0.5× 97 0.7× 42 0.7× 25 434
Francisco José dos Santos 154 0.7× 87 0.6× 183 1.2× 98 0.7× 72 1.2× 21 509
Yaohui Cheng 140 0.7× 71 0.5× 232 1.5× 117 0.8× 31 0.5× 21 529
Ankita Dhiman 135 0.6× 135 0.9× 195 1.3× 85 0.6× 19 0.3× 17 530
Zuguang Shen 130 0.6× 86 0.6× 165 1.1× 250 1.8× 13 0.2× 8 474
Angela Spoială 144 0.7× 78 0.5× 191 1.3× 122 0.9× 14 0.2× 18 494
Daniela Pencheva 181 0.9× 71 0.5× 251 1.7× 104 0.7× 27 0.5× 9 474
Jiaxiu Wang 112 0.5× 37 0.2× 79 0.5× 272 1.9× 67 1.2× 19 488
Yaping Zhang 115 0.6× 90 0.6× 116 0.8× 154 1.1× 15 0.3× 21 463

Countries citing papers authored by Sam J. Parkinson

Since Specialization
Citations

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

Fields of papers citing papers by Sam J. Parkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam J. Parkinson

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