Linda Foit

654 total citations
11 papers, 511 citations indexed

About

Linda Foit is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Linda Foit has authored 11 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Linda Foit's work include Protein Structure and Dynamics (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Linda Foit is often cited by papers focused on Protein Structure and Dynamics (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Linda Foit collaborates with scholars based in United States, Germany and Switzerland. Linda Foit's co-authors include C. Shad Thaxton, James C.A. Bardwell, Leo I. Gordon, Francis J. Giles, Lenz Steimer, Gareth J. Morgan, Sheena E. Radford, Stuart L. Warriner, Bin W. Zhang and Jenny George and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Biomaterials.

In The Last Decade

Linda Foit

11 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Foit United States 9 359 102 77 63 50 11 511
Josef Souček Czechia 13 368 1.0× 52 0.5× 78 1.0× 83 1.3× 23 0.5× 22 550
E.V. Baranova Netherlands 9 325 0.9× 52 0.5× 79 1.0× 48 0.8× 51 1.0× 15 498
Sean E. Reichheld Canada 11 413 1.2× 260 2.5× 46 0.6× 47 0.7× 45 0.9× 20 623
Witold Szaflarski Poland 19 795 2.2× 232 2.3× 27 0.4× 49 0.8× 43 0.9× 38 1.1k
Akio Takimoto Japan 17 532 1.5× 116 1.1× 104 1.4× 47 0.7× 37 0.7× 38 957
Raquel García-Castellanos Spain 14 293 0.8× 115 1.1× 37 0.5× 79 1.3× 31 0.6× 21 569
Sergei Boichuk Russia 17 344 1.0× 54 0.5× 74 1.0× 78 1.2× 32 0.6× 77 866
Kerstin Jahn‐Hofmann Germany 16 693 1.9× 95 0.9× 21 0.3× 134 2.1× 33 0.7× 26 1.0k
Ronald L. Woodbury United States 12 473 1.3× 159 1.6× 44 0.6× 34 0.5× 20 0.4× 17 725
George L. Orriss Canada 14 574 1.6× 104 1.0× 51 0.7× 30 0.5× 13 0.3× 20 646

Countries citing papers authored by Linda Foit

Since Specialization
Citations

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

Fields of papers citing papers by Linda Foit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Foit. 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 Linda Foit. The network helps show where Linda Foit may publish in the future.

Co-authorship network of co-authors of Linda Foit

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

All Works

11 of 11 papers shown
1.
Salmon, Loïc, Frederick Stull, Linda Foit, et al.. (2017). The Mechanism of HdeA Unfolding and Chaperone Activation. Journal of Molecular Biology. 430(1). 33–40. 13 indexed citations
3.
McMahon, Kaylin M., Linda Foit, Nicholas L. Angeloni, et al.. (2015). Synthetic High-Density Lipoprotein-Like Nanoparticles as Cancer Therapy. Cancer treatment and research. 166. 129–150. 58 indexed citations
4.
Mutharasan, R. Kannan, Linda Foit, & C. Shad Thaxton. (2015). High-density lipoproteins for therapeutic delivery systems. Journal of Materials Chemistry B. 4(2). 188–197. 23 indexed citations
5.
Foit, Linda, Francis J. Giles, Leo I. Gordon, & C. Shad Thaxton. (2014). Synthetic high-density lipoprotein-like nanoparticles for cancer therapy. Expert Review of Anticancer Therapy. 15(1). 27–34. 23 indexed citations
6.
Foit, Linda, Jenny George, Bin W. Zhang, Charles L. Brooks, & James C.A. Bardwell. (2013). Chaperone activation by unfolding. Proceedings of the National Academy of Sciences. 110(14). E1254–62. 60 indexed citations
7.
Foit, Linda & James C.A. Bardwell. (2013). A Tripartite Fusion System for the Selection of Protein Variants with Increased Stability In Vivo. Methods in molecular biology. 978. 1–20. 4 indexed citations
8.
Foit, Linda, et al.. (2012). In vivo detection and quantification of chemicals that enhance protein stability. Analytical Biochemistry. 434(1). 181–186. 14 indexed citations
9.
Quan, Shu, Philipp Koldewey, Rong Shi, et al.. (2011). Genetic selection designed to stabilize proteins uncovers a chaperone called Spy. Nature Structural & Molecular Biology. 18(3). 262–269. 127 indexed citations
10.
Foit, Linda, et al.. (2010). Genetic Selection for Enhanced Folding In Vivo Targets the Cys14-Cys38 Disulfide Bond in Bovine Pancreatic Trypsin Inhibitor. Antioxidants and Redox Signaling. 14(6). 973–984. 6 indexed citations
11.
Foit, Linda, Gareth J. Morgan, Lenz Steimer, et al.. (2009). Optimizing Protein Stability In Vivo. Molecular Cell. 36(5). 861–871. 125 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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