Jennifer Gale

1.3k total citations
17 papers, 606 citations indexed

About

Jennifer Gale is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jennifer Gale has authored 17 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jennifer Gale's work include Histone Deacetylase Inhibitors Research (9 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (3 papers). Jennifer Gale is often cited by papers focused on Histone Deacetylase Inhibitors Research (9 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (3 papers). Jennifer Gale collaborates with scholars based in United States, Lebanon and Italy. Jennifer Gale's co-authors include Edward B. Holson, Florence F. Wagner, David E. Olson, Michel Weïwer, Yanling Zhang, Taner Kaya, Yanling Zhang, Stephen J. Haggarty, Méryl Thomas and Krista M. Hennig and has published in prestigious journals such as Journal of Neuroscience, Blood and PLoS ONE.

In The Last Decade

Jennifer Gale

17 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Gale United States 12 498 148 98 56 53 17 606
James A. Fishback United States 11 591 1.2× 29 0.2× 100 1.0× 46 0.8× 24 0.5× 15 795
Erin M. Bowers United States 7 648 1.3× 114 0.8× 49 0.5× 24 0.4× 60 1.1× 7 981
Silvia Noiman Israel 14 486 1.0× 38 0.3× 60 0.6× 47 0.8× 74 1.4× 16 798
Erich Küng Switzerland 10 263 0.5× 57 0.4× 45 0.5× 83 1.5× 29 0.5× 13 510
S. Rutger Leliveld Germany 13 502 1.0× 23 0.2× 63 0.6× 34 0.6× 173 3.3× 16 705
Kenneth B. Rank United States 12 284 0.6× 58 0.4× 12 0.1× 45 0.8× 33 0.6× 17 528
Karen Schweikart United States 9 212 0.4× 152 1.0× 74 0.8× 13 0.2× 178 3.4× 12 439
Katarzyna Kaczanowska United States 13 277 0.6× 30 0.2× 123 1.3× 20 0.4× 14 0.3× 21 441
Vassiliki Magafa Greece 13 299 0.6× 50 0.3× 63 0.6× 9 0.2× 27 0.5× 46 504

Countries citing papers authored by Jennifer Gale

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Gale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Gale

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

All Works

17 of 17 papers shown
1.
Zhang, Yanling, Sean P. Moran, Andrew S. Allen, et al.. (2022). Novel Fluorescence-Based High-Throughput FLIPR Assay Utilizing Membrane-Tethered Genetic Calcium Sensors to Identify T-Type Calcium Channel Modulators. ACS Pharmacology & Translational Science. 5(3). 156–168. 4 indexed citations
2.
Michalska, K., Jennifer Gale, G. Joachimiak, et al.. (2019). Conservation of the structure and function of bacterial tryptophan synthases. IUCrJ. 6(4). 649–664. 15 indexed citations
3.
Radke, Joshua B., Kimberly L. Carey, Subrata Shaw, et al.. (2018). High Throughput Screen Identifies Interferon γ-Dependent Inhibitors of Toxoplasma gondii Growth. ACS Infectious Diseases. 4(10). 1499–1507. 9 indexed citations
4.
Wagner, Florence F., Michel Weïwer, Stefan Steinbacher, et al.. (2016). Kinetic and structural insights into the binding of histone deacetylase 1 and 2 (HDAC1, 2) inhibitors. Bioorganic & Medicinal Chemistry. 24(18). 4008–4015. 63 indexed citations
5.
Olson, David E., Sama F. Sleiman, Megan W. Bourassa, et al.. (2015). Hydroxamate-Based Histone Deacetylase Inhibitors Can Protect Neurons from Oxidative Stress via a Histone Deacetylase-Independent Catalase-Like Mechanism. Chemistry & Biology. 22(4). 439–445. 33 indexed citations
6.
Benajiba, Lina, Florence F. Wagner, Linda S. Ross, et al.. (2015). Identification of a First in Class GSK3-Alpha Selective Inhibitor As a New Differentiation Therapy for AML. Blood. 126(23). 870–870. 1 indexed citations
7.
Schroeder, Frederick A., C. Wang, Genevieve C. Van de Bittner, et al.. (2014). PET Imaging Demonstrates Histone Deacetylase Target Engagement and Clarifies Brain Penetrance of Known and Novel Small Molecule Inhibitors in Rat. ACS Chemical Neuroscience. 5(10). 1055–1062. 29 indexed citations
8.
Sleiman, Sama F., David E. Olson, Megan W. Bourassa, et al.. (2014). Hydroxamic Acid-Based Histone Deacetylase (HDAC) Inhibitors Can Mediate Neuroprotection Independent of HDAC Inhibition. Journal of Neuroscience. 34(43). 14328–14337. 25 indexed citations
9.
Barton, Kirston, Nancie M. Archin, Kara S. Keedy, et al.. (2014). Selective HDAC Inhibition for the Disruption of Latent HIV-1 Infection. PLoS ONE. 9(8). e102684–e102684. 64 indexed citations
10.
Schroeder, Frederick A., Michael C. Lewis, Daniel M. Fass, et al.. (2013). A Selective HDAC 1/2 Inhibitor Modulates Chromatin and Gene Expression in Brain and Alters Mouse Behavior in Two Mood-Related Tests. PLoS ONE. 8(8). e71323–e71323. 105 indexed citations
11.
Wang, Yajie, Yanling Zhang, Krista M. Hennig, et al.. (2013). Class I HDAC imaging using [3H]CI-994 autoradiography. Epigenetics. 8(7). 756–764. 24 indexed citations
12.
Olson, David E., Florence F. Wagner, Taner Kaya, et al.. (2013). Discovery of the First Histone Deacetylase 6/8 Dual Inhibitors. Journal of Medicinal Chemistry. 56(11). 4816–4820. 79 indexed citations
13.
Schroeder, Frederick A., Daniel B. Chonde, Misha M. Riley, et al.. (2013). FDG-PET imaging reveals local brain glucose utilization is altered by class I histone deacetylase inhibitors. Neuroscience Letters. 550. 119–124. 12 indexed citations
14.
Wagner, Florence F., David E. Olson, Jennifer Gale, et al.. (2013). Potent and Selective Inhibition of Histone Deacetylase 6 (HDAC6) Does Not Require a Surface-Binding Motif. Journal of Medicinal Chemistry. 56(4). 1772–1776. 99 indexed citations
15.
Evans, Karen A., Frank T. Coppo, Todd L. Graybill, et al.. (2008). Amino acid anthranilamide derivatives as a new class of glycogen phosphorylase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(14). 4068–4071. 9 indexed citations
16.
Coppo, Frank T., Karen A. Evans, Todd L. Graybill, et al.. (2006). Synthesis and structure–activity relationships of 3-phenyl-2-propenamides as inhibitors of glycogen phosphorylase a. Bioorganic & Medicinal Chemistry Letters. 16(22). 5892–5896. 6 indexed citations
17.
Hershey, Howard P., et al.. (1999). Cloning and functional expression of the small subunit of acetolactate synthase from Nicotiana plumbaginifolia. Plant Molecular Biology. 40(5). 795–806. 29 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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