Daniel T. Infield

935 total citations
27 papers, 642 citations indexed

About

Daniel T. Infield is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel T. Infield has authored 27 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel T. Infield's work include Ion channel regulation and function (9 papers), RNA and protein synthesis mechanisms (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Daniel T. Infield is often cited by papers focused on Ion channel regulation and function (9 papers), RNA and protein synthesis mechanisms (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Daniel T. Infield collaborates with scholars based in United States, Denmark and Israel. Daniel T. Infield's co-authors include Christopher A. Ahern, Nael A. McCarty, Emad Tajkhorshid, John D. Lueck, Ali Rasouli, Jason D. Galpin, Christophe Chipot, Guiying Cui, Jae Seok Yoon and Alfredo Perales‐Puchalt and has published in prestigious journals such as Science, Chemical Reviews and Nature Communications.

In The Last Decade

Daniel T. Infield

25 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Infield United States 15 459 119 103 70 62 27 642
Karen Woodfork United States 9 427 0.9× 71 0.6× 128 1.2× 64 0.9× 31 0.5× 11 586
Jonathan P. Schlebach United States 18 645 1.4× 42 0.4× 205 2.0× 46 0.7× 98 1.6× 39 819
Kimara L. Targoff United States 13 488 1.1× 72 0.6× 69 0.7× 91 1.3× 29 0.5× 18 937
Jiying Zhao United States 20 625 1.4× 196 1.6× 145 1.4× 242 3.5× 50 0.8× 28 922
Marta Sawicka Switzerland 11 434 0.9× 20 0.2× 76 0.7× 46 0.7× 34 0.5× 14 530
Matthias Preller Germany 15 396 0.9× 41 0.3× 47 0.5× 209 3.0× 41 0.7× 36 756
Daniela Bertinetti Germany 20 816 1.8× 20 0.2× 151 1.5× 92 1.3× 106 1.7× 41 1.0k
Janine D. Brunner Switzerland 7 515 1.1× 21 0.2× 145 1.4× 78 1.1× 39 0.6× 12 637
Carsten Hille Germany 16 379 0.8× 69 0.6× 90 0.9× 14 0.2× 29 0.5× 33 709
Drew C. Tilley United States 10 245 0.5× 32 0.3× 53 0.5× 34 0.5× 26 0.4× 12 318

Countries citing papers authored by Daniel T. Infield

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Infield'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 Daniel T. Infield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Infield more than expected).

Fields of papers citing papers by Daniel T. Infield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Infield. 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 Daniel T. Infield. The network helps show where Daniel T. Infield may publish in the future.

Co-authorship network of co-authors of Daniel T. Infield

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Infield. A scholar is included among the top collaborators of Daniel T. Infield 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 Daniel T. Infield. Daniel T. Infield 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.
Infield, Daniel T., et al.. (2024). Expression and purification of fluorinated proteins from mammalian suspension culture. Methods in enzymology on CD-ROM/Methods in enzymology. 696. 341–354.
2.
Infield, Daniel T., et al.. (2024). Genetic Code Expansion for Mechanistic Studies in Ion Channels: An (Un)natural Union of Chemistry and Biology. Chemical Reviews. 124(20). 11523–11543.
3.
Infield, Daniel T., et al.. (2023). Real-time observation of functional specialization among phosphorylation sites in CFTR. The Journal of General Physiology. 155(4). 7 indexed citations
4.
Infield, Daniel T., Ali Rasouli, Emad Tajkhorshid, et al.. (2023). Tuning phenylalanine fluorination to assess aromatic contributions to protein function and stability in cells. Nature Communications. 14(1). 59–59. 22 indexed citations
5.
Infield, Daniel T., Hang N. Nielsen, Rikke Holm, et al.. (2022). Role of a conserved ion-binding site tyrosine in ion selectivity of the Na+/K+ pump. The Journal of General Physiology. 154(7). 7 indexed citations
6.
Infield, Daniel T., et al.. (2021). Cation-π Interactions and their Functional Roles in Membrane Proteins. Journal of Molecular Biology. 433(17). 167035–167035. 92 indexed citations
7.
Infield, Daniel T., et al.. (2021). Selection and validation of orthogonal tRNA/synthetase pairs for the encoding of unnatural amino acids across kingdoms. Methods in enzymology on CD-ROM/Methods in enzymology. 654. 3–18. 5 indexed citations
8.
Infield, Daniel T., et al.. (2021). The molecular evolution of function in the CFTR chloride channel. The Journal of General Physiology. 153(12). 11 indexed citations
9.
Zajac, Matthew, Kasturi Chakraborty, Sonali Saha, et al.. (2020). What biologists want from their chloride reporters – a conversation between chemists and biologists. Journal of Cell Science. 133(2). 28 indexed citations
10.
Lueck, John D., Jae Seok Yoon, Alfredo Perales‐Puchalt, et al.. (2019). Engineered transfer RNAs for suppression of premature termination codons. Nature Communications. 10(1). 822–822. 105 indexed citations
11.
Clairfeuille, Thomas, Daniel T. Infield, Christopher P. Arthur, et al.. (2019). Structural basis of α-scorpion toxin action on Na v channels. Science. 363(6433). 136 indexed citations
12.
Cui, Guiying, Jeong S. Hong, Yu‐Wen Chung‐Davidson, et al.. (2019). An Ancient CFTR Ortholog Informs Molecular Evolution in ABC Transporters. Developmental Cell. 51(4). 421–430.e3. 17 indexed citations
13.
Lueck, John D., et al.. (2018). Engineered Transfer RNA Suppression of CFTR Nonsense Mutations. Biophysical Journal. 114(3). 487a–487a. 1 indexed citations
14.
Infield, Daniel T., Kimberly Matulef, Jason D. Galpin, Christopher A. Ahern, & Francis I. Valiyaveetil. (2018). The Role of Backbone Hydrogen Bonds in the Voltage Sensor of K+ Channels. Biophysical Journal. 114(3). 477a–477a. 1 indexed citations
15.
Infield, Daniel T., et al.. (2018). Orthogonality of Pyrrolysine tRNA in the Xenopus oocyte. Scientific Reports. 8(1). 5166–5166. 12 indexed citations
16.
Infield, Daniel T., Kimberly Matulef, Jason D. Galpin, et al.. (2018). Main-chain mutagenesis reveals intrahelical coupling in an ion channel voltage-sensor. Nature Communications. 9(1). 5055–5055. 14 indexed citations
17.
Thompson, Ammon, Daniel T. Infield, Adam R. Smith, et al.. (2018). Rapid evolution of a voltage-gated sodium channel gene in a lineage of electric fish leads to a persistent sodium current. PLoS Biology. 16(3). e2004892–e2004892. 17 indexed citations
18.
Infield, Daniel T., et al.. (2018). Replacing voltage sensor arginines with citrulline provides mechanistic insight into charge versus shape. The Journal of General Physiology. 150(7). 1017–1024. 13 indexed citations
19.
Lueck, John D., Daniel T. Infield, Jason D. Galpin, et al.. (2016). Atomic mutagenesis in ion channels with engineered stoichiometry. eLife. 5. 18 indexed citations
20.
D’Souza, Martin J., et al.. (2012). Formulation of meningococcal capsular polysaccharide vaccine-loaded microparticles with robust innate immune recognition. Journal of Microencapsulation. 30(1). 28–41. 22 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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