W. Seth Childers

2.3k total citations
40 papers, 1.7k citations indexed

About

W. Seth Childers is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, W. Seth Childers has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 16 papers in Biomaterials and 14 papers in Genetics. Recurrent topics in W. Seth Childers's work include Supramolecular Self-Assembly in Materials (16 papers), Bacterial Genetics and Biotechnology (14 papers) and RNA and protein synthesis mechanisms (12 papers). W. Seth Childers is often cited by papers focused on Supramolecular Self-Assembly in Materials (16 papers), Bacterial Genetics and Biotechnology (14 papers) and RNA and protein synthesis mechanisms (12 papers). W. Seth Childers collaborates with scholars based in United States, China and Australia. W. Seth Childers's co-authors include Anil Mehta, David G. Lynn, Jared M. Schrader, Rong Ni, Kun Ping Lu, Dylan T. Tomares, Lucy Shapiro, Keith M. Berland, Nadra Al-Husini and P. Thiyagarajan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

W. Seth Childers

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Seth Childers United States 21 1.3k 779 315 314 261 40 1.7k
Rong Ni China 20 837 0.7× 455 0.6× 98 0.3× 183 0.6× 48 0.2× 55 1.2k
Matthew R. Hicks United Kingdom 28 1.2k 1.0× 503 0.6× 81 0.3× 316 1.0× 162 0.6× 55 1.8k
Nancy Rizzo United States 11 1.0k 0.8× 493 0.6× 61 0.2× 100 0.3× 602 2.3× 15 1.9k
Tatsuya Niwa Japan 18 1.1k 0.9× 193 0.2× 181 0.6× 176 0.6× 20 0.1× 61 1.4k
Yu. N. Chirgadze Russia 15 1.4k 1.1× 220 0.3× 132 0.4× 88 0.3× 147 0.6× 29 1.9k
Maureen Pitkeathly United Kingdom 16 1.4k 1.1× 696 0.9× 55 0.2× 367 1.2× 321 1.2× 17 2.0k
Pradip Nandi France 27 1.4k 1.1× 72 0.1× 109 0.3× 120 0.4× 147 0.6× 66 2.1k
N. Nevskaya Russia 21 1.5k 1.2× 155 0.2× 240 0.8× 68 0.2× 100 0.4× 46 1.9k
Radhakrishnan Mahalakshmi India 20 1.1k 0.9× 114 0.1× 154 0.5× 135 0.4× 71 0.3× 73 1.3k
Martijn C. Koorengevel Netherlands 20 1.3k 1.0× 168 0.2× 112 0.4× 165 0.5× 82 0.3× 25 1.6k

Countries citing papers authored by W. Seth Childers

Since Specialization
Citations

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

Fields of papers citing papers by W. Seth Childers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Seth Childers. 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 W. Seth Childers. The network helps show where W. Seth Childers may publish in the future.

Co-authorship network of co-authors of W. Seth Childers

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

All Works

20 of 20 papers shown
1.
Jian, Tengyue, Yuan Gao, W. Seth Childers, et al.. (2024). Uncovering supramolecular chirality codes for the design of tunable biomaterials. Nature Communications. 15(1). 788–788. 23 indexed citations
2.
Tomares, Dylan T., et al.. (2023). RNase E biomolecular condensates stimulate PNPase activity. Scientific Reports. 13(1). 12937–12937. 12 indexed citations
3.
Ortiz‐Rodríguez, Luis A., Hadi M. Yassine, Julie S. Biteen, et al.. (2023). The BR-body proteome contains a complex network of protein-protein and protein-RNA interactions. Cell Reports. 42(10). 113229–113229. 11 indexed citations
4.
Lü, Ning, Chao Zhang, Wei Tan, et al.. (2023). Scaffold-Scaffold Interaction Facilitates Cell Polarity Development in Caulobacter crescentus. mBio. 14(2). e0321822–e0321822. 4 indexed citations
5.
Zhang, Chao, et al.. (2022). Regulation of the activity of the bacterial histidine kinase PleC by the scaffolding protein PodJ. Journal of Biological Chemistry. 298(4). 101683–101683. 14 indexed citations
6.
Wang, Jiefei, Chao Zhang, & W. Seth Childers. (2021). A Biosensor for Detection of Indole Metabolites. ACS Synthetic Biology. 10(7). 1605–1614. 20 indexed citations
7.
Al-Husini, Nadra, et al.. (2020). BR-Bodies Provide Selectively Permeable Condensates that Stimulate mRNA Decay and Prevent Release of Decay Intermediates. Molecular Cell. 78(4). 670–682.e8. 63 indexed citations
8.
Hsieh, Ming-Chien, W. Seth Childers, Dibyendu Das, et al.. (2017). Catalytic diversity in self-propagating peptide assemblies. Nature Chemistry. 9(8). 805–809. 193 indexed citations
9.
Chen, Liang, et al.. (2014). Kinetic Intermediates in Amyloid Assembly. Journal of the American Chemical Society. 136(43). 15146–15149. 79 indexed citations
10.
Childers, W. Seth, Qingping Xu, Thomas H. Mann, et al.. (2014). Cell Fate Regulation Governed by a Repurposed Bacterial Histidine Kinase. PLoS Biology. 12(10). e1001979–e1001979. 52 indexed citations
11.
Lasker, Keren, et al.. (2014). Using Optically Reversible Spatial Mutations to Dissect the Asymmetric Developmental Program of a Bacterium. Biophysical Journal. 106(2). 594a–594a. 2 indexed citations
12.
Mehta, Anil, Rebecca F. Rosen, W. Seth Childers, et al.. (2013). Context dependence of protein misfolding and structural strains in neurodegenerative diseases. Biopolymers. 100(6). 722–730. 13 indexed citations
13.
Blair, Jimmy A., Qingping Xu, W. Seth Childers, et al.. (2013). Branched Signal Wiring of an Essential Bacterial Cell-Cycle Phosphotransfer Protein. Structure. 21(9). 1590–1601. 20 indexed citations
14.
Ni, Rong, W. Seth Childers, Kenneth I. Hardcastle, Anil Mehta, & David G. Lynn. (2012). Remodeling Cross‐β Nanotube Surfaces with Peptide/Lipid Chimeras. Angewandte Chemie International Edition. 51(27). 6635–6638. 37 indexed citations
15.
Childers, W. Seth, Anil Mehta, Rong Ni, Jeannette V. Taylor, & David G. Lynn. (2010). Peptides Organized as Bilayer Membranes. Angewandte Chemie International Edition. 49(24). 4104–4107. 66 indexed citations
16.
Childers, W. Seth, Anil Mehta, Rong Ni, Jeannette V. Taylor, & David G. Lynn. (2010). Peptides Organized as Bilayer Membranes. Angewandte Chemie. 122(24). 4198–4201. 20 indexed citations
17.
Childers, W. Seth, Rong Ni, Anil Mehta, & David G. Lynn. (2009). Peptide membranes in chemical evolution. Current Opinion in Chemical Biology. 13(5-6). 652–659. 43 indexed citations
18.
Mehta, Anil, Kun Ping Lu, W. Seth Childers, et al.. (2008). Facial Symmetry in Protein Self-Assembly. Journal of the American Chemical Society. 130(30). 9829–9835. 225 indexed citations
19.
Lu, Kun Ping, Liang Guo, Anil Mehta, et al.. (2007). Macroscale assembly of peptide nanotubes. Chemical Communications. 2729–2729. 54 indexed citations
20.
Weiler, Ivan Jeanne, et al.. (1993). Regulation of synaptoneurosomal protein synthesis. The Society for Neuroscience Abstracts. 19. 274. 1 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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