Katie B. Freeman

1.4k total citations
20 papers, 817 citations indexed

About

Katie B. Freeman is a scholar working on Molecular Biology, Microbiology and Infectious Diseases. According to data from OpenAlex, Katie B. Freeman has authored 20 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Microbiology and 6 papers in Infectious Diseases. Recurrent topics in Katie B. Freeman's work include Antimicrobial Peptides and Activities (7 papers), Antifungal resistance and susceptibility (5 papers) and Receptor Mechanisms and Signaling (3 papers). Katie B. Freeman is often cited by papers focused on Antimicrobial Peptides and Activities (7 papers), Antifungal resistance and susceptibility (5 papers) and Receptor Mechanisms and Signaling (3 papers). Katie B. Freeman collaborates with scholars based in United States, United Kingdom and Chile. Katie B. Freeman's co-authors include David Wotton, David Shore, Andrés Couve, Andrew R. Calver, Stephen J. Moss, Menelas N. Pangalos, Richard W. Scott, Piers C. Emson, Shelagh Wilson and Darren J. Moore and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Molecular and Cellular Biology.

In The Last Decade

Katie B. Freeman

20 papers receiving 801 citations

Peers

Katie B. Freeman
Jonathan W. Nyce United States
Nirakar Sahoo United States
Ashvani K. Singh United States
Paula Nunes Switzerland
Katsuhiko Nakata Japan
Céline Morissette Canada
Sabrina Bréchard Luxembourg
Verónica Milesi Argentina
Caroline Norez France
Oscar Cerda Chile
Jonathan W. Nyce United States
Katie B. Freeman
Citations per year, relative to Katie B. Freeman Katie B. Freeman (= 1×) peers Jonathan W. Nyce

Countries citing papers authored by Katie B. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Katie B. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katie B. Freeman. 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 Katie B. Freeman. The network helps show where Katie B. Freeman may publish in the future.

Co-authorship network of co-authors of Katie B. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Katie B. Freeman. A scholar is included among the top collaborators of Katie B. Freeman 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 Katie B. Freeman. Katie B. Freeman 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.
2.
Baugh, Simon D. P., David B. Whitman, Jeffrey C. Pelletier, et al.. (2023). Amide- and bis-amide-linked highly potent and broadly active antifungal agents for the treatment of invasive fungal infections- towards the discovery of pre-clinical development candidate FC12406. Medicinal Chemistry Research. 32(7). 1436–1452. 2 indexed citations
3.
Baugh, Simon D. P., et al.. (2020). Highly potent, broadly active antifungal agents for the treatment of invasive fungal infections. Bioorganic & Medicinal Chemistry Letters. 33. 127727–127727. 8 indexed citations
4.
Ryan, Lisa K., Amy G. Hise, Katie B. Freeman, et al.. (2020). A Novel Immunocompetent Mouse Model for Testing Antifungal Drugs Against Invasive Candida albicans Infection. Journal of Fungi. 6(4). 197–197. 2 indexed citations
5.
6.
Ryan, Lisa K., et al.. (2018). Antifungal Potential of Host Defense Peptide Mimetics in a Mouse Model of Disseminated Candidiasis. Journal of Fungi. 4(1). 30–30. 12 indexed citations
7.
Menzel, Lorenzo P., Jorge A. Masso-Silva, Kartikeya Cherabuddi, et al.. (2017). Potent in vitro and in vivo antifungal activity of a small molecule host defense peptide mimic through a membrane-active mechanism. Scientific Reports. 7(1). 4353–4353. 36 indexed citations
8.
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
9.
Rubin, Harvey, Trevor Selwood, Takahiro Yano, et al.. (2014). Acinetobacter baumannii OxPhos inhibitors as selective anti-infective agents. Bioorganic & Medicinal Chemistry Letters. 25(2). 378–383. 9 indexed citations
10.
Ryan, Lisa K., Katie B. Freeman, Jorge A. Masso-Silva, et al.. (2014). Activity of Potent and Selective Host Defense Peptide Mimetics in Mouse Models of Oral Candidiasis. Antimicrobial Agents and Chemotherapy. 58(7). 3820–3827. 25 indexed citations
11.
Love, Melissa S., Satish Mishra, Katie B. Freeman, et al.. (2012). Platelet Factor 4 Activity against P. falciparum and Its Translation to Nonpeptidic Mimics as Antimalarials. Cell Host & Microbe. 12(6). 815–823. 62 indexed citations
12.
Kuramoto, Nobuyuki, Megan E. Wilkins, Benjamin P. Fairfax, et al.. (2007). Phospho-Dependent Functional Modulation of GABAB Receptors by the Metabolic Sensor AMP-Dependent Protein Kinase. Neuron. 53(2). 233–247. 158 indexed citations
13.
Angeletti, Barbara, Kevin J. Waldron, Katie B. Freeman, et al.. (2005). BACE1 Cytoplasmic Domain Interacts with the Copper Chaperone for Superoxide Dismutase-1 and Binds Copper. Journal of Biological Chemistry. 280(18). 17930–17937. 99 indexed citations
14.
Restituito, Sophie, Andrés Couve, Sabine Jourdain, et al.. (2005). Multiple motifs regulate the trafficking of GABAB receptors at distinct checkpoints within the secretory pathway. Molecular and Cellular Neuroscience. 28(4). 747–756. 38 indexed citations
15.
Couve, Andrés, Sophie Restituito, Katie B. Freeman, et al.. (2004). Marlin-1, a Novel RNA-binding Protein Associates with GABA Receptors. Journal of Biological Chemistry. 279(14). 13934–13943. 46 indexed citations
16.
Moore, Darren J., Paul R. Murdock, Jeannette M. Watson, et al.. (2003). GPR105, a novel Gi/o-coupled UDP-glucose receptor expressed on brain glia and peripheral immune cells, is regulated by immunologic challenge: possible role in neuroimmune function. Molecular Brain Research. 118(1-2). 10–23. 85 indexed citations
17.
Freeman, Katie B., Ping Tsui, Darren J. Moore, et al.. (2001). Cloning, Pharmacology, and Tissue Distribution of G-Protein-Coupled Receptor GPR105 (KIAA0001) Rodent Orthologs. Genomics. 78(3). 124–128. 62 indexed citations
18.
Wotton, David, Katie B. Freeman, & David Shore. (1996). Multimerization of Hsp42p, a Novel Heat Shock Protein of Saccharomyces cerevisiae, Is Dependent on a Conserved Carboxyl-terminal Sequence. Journal of Biological Chemistry. 271(5). 2717–2723. 70 indexed citations
19.
Freeman, Katie B. & George P. Livi. (1996). Missense mutations at the FKBP12-rapamycin-binding site of TOR1. Gene. 172(1). 143–147. 7 indexed citations
20.
Freeman, Katie B., et al.. (1992). Histone H3 Transcription in Saccharomyces cerevisiae Is Controlled by Multiple Cell Cycle Activation Sites and a Constitutive Negative Regulatory Element. Molecular and Cellular Biology. 12(12). 5455–5463. 34 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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