Taylor N. Plank

10 total papers · 719 total citations
7 papers, 640 citations indexed

About

Taylor N. Plank is a scholar working on Biomaterials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Taylor N. Plank has authored 7 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 4 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Taylor N. Plank's work include Supramolecular Self-Assembly in Materials (6 papers), DNA and Nucleic Acid Chemistry (2 papers) and Advanced Polymer Synthesis and Characterization (1 paper). Taylor N. Plank is often cited by papers focused on Supramolecular Self-Assembly in Materials (6 papers), DNA and Nucleic Acid Chemistry (2 papers) and Advanced Polymer Synthesis and Characterization (1 paper). Taylor N. Plank collaborates with scholars based in United States, France and Ukraine. Taylor N. Plank's co-authors include Jeffery T. Davis, Luke P. Skala, Steven P. Brown, Gretchen Marie Peters, G. N. Manjunatha Reddy, Andrew Marsh, Timothy W. Funk, Daniel K. Kim, Srinivasa R. Raghavan and Hyun‐Taek Oh and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Taylor N. Plank

7 papers receiving 639 citations

Author Peers

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

Author Last Decade Papers Cites
Taylor N. Plank 350 299 193 163 103 7 640
Aya Koide 264 0.8× 174 0.6× 479 2.5× 128 0.8× 100 1.0× 7 723
Dennis Kühbeck 343 1.0× 137 0.5× 337 1.7× 222 1.4× 125 1.2× 9 655
Edward G. B. Eden 327 0.9× 127 0.4× 325 1.7× 252 1.5× 45 0.4× 5 558
Christophe B. Minkenberg 422 1.2× 212 0.7× 467 2.4× 255 1.6× 58 0.6× 9 720
Sandani Samarajeewa 295 0.8× 201 0.7× 252 1.3× 145 0.9× 156 1.5× 13 649
Aaron Hall 220 0.6× 221 0.7× 198 1.0× 157 1.0× 129 1.3× 10 705
Yamuna Krishnan‐Ghosh 347 1.0× 427 1.4× 290 1.5× 177 1.1× 31 0.3× 12 704
M. G. Finn 82 0.2× 262 0.9× 512 2.7× 98 0.6× 70 0.7× 10 739
Kangjian Tang 83 0.2× 102 0.3× 181 0.9× 295 1.8× 256 2.5× 16 648
Michael J. Kunz 258 0.7× 143 0.5× 448 2.3× 120 0.7× 81 0.8× 13 638

Countries citing papers authored by Taylor N. Plank

Since Specialization
Citations

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

Fields of papers citing papers by Taylor N. Plank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor N. Plank. 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 Taylor N. Plank. The network helps show where Taylor N. Plank may publish in the future.

Co-authorship network of co-authors of Taylor N. Plank

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor N. Plank. A scholar is included among the top collaborators of Taylor N. Plank 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 Taylor N. Plank. Taylor N. Plank 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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