Dylan J. Clements

1.1k total citations
9 papers, 985 citations indexed

About

Dylan J. Clements is a scholar working on Molecular Biology, Organic Chemistry and Microbiology. According to data from OpenAlex, Dylan J. Clements has authored 9 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Microbiology. Recurrent topics in Dylan J. Clements's work include Chemical Synthesis and Analysis (8 papers), Antimicrobial Peptides and Activities (6 papers) and Antimicrobial agents and applications (4 papers). Dylan J. Clements is often cited by papers focused on Chemical Synthesis and Analysis (8 papers), Antimicrobial Peptides and Activities (6 papers) and Antimicrobial agents and applications (4 papers). Dylan J. Clements collaborates with scholars based in United States and United Kingdom. Dylan J. Clements's co-authors include William F. DeGrado, Sungwook Choi, Jeffrey D. Winkler, Dahui Liu, Richard W. Scott, Michael L. Klein, Robert J. Doerksen, Gregory N. Tew, Hyemin Kim and André K. Isaacs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.

In The Last Decade

Dylan J. Clements

9 papers receiving 971 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dylan J. Clements United States 9 654 619 510 73 65 9 985
Bee‐Ha Gan Switzerland 15 546 0.8× 612 1.0× 239 0.5× 54 0.7× 69 1.1× 19 885
Ido M. Herzog Israel 15 259 0.4× 320 0.5× 377 0.7× 75 1.0× 119 1.8× 20 740
Ann M. Czyzewski United States 7 574 0.9× 682 1.1× 302 0.6× 66 0.9× 39 0.6× 9 872
Shruti Padhee United States 14 509 0.8× 470 0.8× 298 0.6× 42 0.6× 26 0.4× 17 690
Jong Eun Oh Canada 11 334 0.5× 524 0.8× 124 0.2× 345 4.7× 28 0.4× 13 977
Kasper K. Sørensen Denmark 16 113 0.2× 595 1.0× 323 0.6× 160 2.2× 21 0.3× 44 926
Pascal Prochnow Germany 15 211 0.3× 360 0.6× 346 0.7× 16 0.2× 34 0.5× 21 756
Eric Condamine France 15 148 0.2× 260 0.4× 225 0.4× 72 1.0× 48 0.7× 42 694
Brendan P. Mowery United States 9 665 1.0× 503 0.8× 691 1.4× 98 1.3× 20 0.3× 10 979
Lukas Boge Sweden 9 255 0.4× 396 0.6× 160 0.3× 122 1.7× 19 0.3× 10 660

Countries citing papers authored by Dylan J. Clements

Since Specialization
Citations

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

Fields of papers citing papers by Dylan J. Clements

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan J. Clements

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan J. Clements. A scholar is included among the top collaborators of Dylan J. Clements 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 Dylan J. Clements. Dylan J. Clements is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhang, Yao, Trevor M. Young, Michael J. Costanzo, et al.. (2014). De Novo Design of Self-Assembling Foldamers That Inhibit Heparin–Protein Interactions. ACS Chemical Biology. 9(4). 967–975. 34 indexed citations
2.
Clements, Dylan J., et al.. (2011). Synthetic Mimics of Antimicrobial Peptides from Triaryl Scaffolds. Journal of Medicinal Chemistry. 54(7). 2241–2254. 41 indexed citations
3.
Choi, Sungwook, André K. Isaacs, Dylan J. Clements, et al.. (2009). De novo design and in vivo activity of conformationally restrained antimicrobial arylamide foldamers. Proceedings of the National Academy of Sciences. 106(17). 6968–6973. 259 indexed citations
4.
Beckloff, Nicholas, David Furgang, Steven Park, et al.. (2007). Activity of an Antimicrobial Peptide Mimetic against Planktonic and Biofilm Cultures of Oral Pathogens. Antimicrobial Agents and Chemotherapy. 51(11). 4125–4132. 123 indexed citations
5.
Tew, Gregory N., et al.. (2006). Antimicrobial activity of an abiotic host defense peptide mimic. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(9). 1387–1392. 95 indexed citations
6.
Choi, Sungwook, Dylan J. Clements, Vojislava Pophristic, et al.. (2005). The Design and Evaluation of Heparin‐Binding Foldamers. Angewandte Chemie International Edition. 44(41). 6685–6689. 65 indexed citations
7.
Choi, Sungwook, Dylan J. Clements, Vojislava Pophristic, et al.. (2005). The Design and Evaluation of Heparin‐Binding Foldamers. Angewandte Chemie. 117(41). 6843–6847. 10 indexed citations
8.
Liu, Dahui, Sungwook Choi, Bin Chen, et al.. (2004). Nontoxic Membrane‐Active Antimicrobial Arylamide Oligomers. Angewandte Chemie International Edition. 43(9). 1158–1162. 189 indexed citations
9.
Liu, Dahui, Sungwook Choi, Bin Chen, et al.. (2004). Nontoxic Membrane‐Active Antimicrobial Arylamide Oligomers. Angewandte Chemie. 116(9). 1178–1182. 169 indexed citations

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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