Larisa Avramova

1.0k total citations
26 papers, 825 citations indexed

About

Larisa Avramova is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Larisa Avramova has authored 26 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Spectroscopy. Recurrent topics in Larisa Avramova's work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Analytical Chemistry and Chromatography (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Larisa Avramova is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Analytical Chemistry and Chromatography (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Larisa Avramova collaborates with scholars based in United States. Larisa Avramova's co-authors include David H. Thompson, R. Graham Cooks, Zinia Jaman, Tony R. Hazbun, Tiago J. P. Sobreira, Bradley P. Loren, Christina R. Ferreira, Chiwook Park, Shankar Thangamani and Mohamed N. Seleem and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Nature Methods.

In The Last Decade

Larisa Avramova

26 papers receiving 821 citations

Peers

Larisa Avramova

SPECT

Thomas J. Piggot United Kingdom

Ute A. Hellmich Germany

Saul Treviño United States

Florent Barbault France

Erick Strauss South Africa

Rodrigo V. Honorato Brazil

Jacek Czub Poland

Nicolas Doucet Canada

Jan Dohnálek Czechia

Sara Bobone Italy

Thomas J. Piggot United Kingdom

Larisa Avramova

1.1k ×2.9

65 ×0.3

SPECT

146 ×0.8

50 ×0.5

107 ×1.3

Citations per year, relative to Larisa Avramova Larisa Avramova (= 1×) peers Thomas J. Piggot

Countries citing papers authored by Larisa Avramova

Since Specialization

Citations

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

Fields of papers citing papers by Larisa Avramova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Avramova

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

All Works

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20 of 20 papers shown

Roy, Rajika, Sarah M. Schumacher, J. Kurt Chuprun, et al.. (2024). Therapeutic Efficacy of a Novel Pharmacologic GRK2 Inhibitor in Multiple Animal Models of Heart Failure. JACC Basic to Translational Science. 10(2). 202–217. 1 indexed citations

Cash, Jennifer N., Larisa Avramova, Mariya V. Zhalnina, et al.. (2022). Structural/functional studies of Trio provide insights into its configuration and show that conserved linker elements enhance its activity for Rac1. Journal of Biological Chemistry. 298(8). 102209–102209. 5 indexed citations

Chen, Qiuyan, et al.. (2021). Generation of Highly Selective, Potent, and Covalent G Protein-Coupled Receptor Kinase 5 Inhibitors. Journal of Medicinal Chemistry. 64(1). 566–585. 9 indexed citations

Cash, Jennifer N., Sarah Urata, Sheng Li, et al.. (2019). Cryo–electron microscopy structure and analysis of the P-Rex1–Gβγ signaling scaffold. Science Advances. 5(10). eaax8855–eaax8855. 25 indexed citations

Loren, Bradley P., Larisa Avramova, Christina R. Ferreira, et al.. (2019). High Throughput Experimentation Using DESI-MS to Guide Continuous-Flow Synthesis. Scientific Reports. 9(1). 14745–14745. 30 indexed citations

Fedick, Patrick W., et al.. (2019). Screening of the Suzuki Cross-Coupling Reaction Using Desorption Electrospray Ionization in High-Throughput and in Leidenfrost Droplet Experiments. Journal of the American Society for Mass Spectrometry. 30(10). 2144–2151. 28 indexed citations

Jaman, Zinia, et al.. (2018). High Throughput Experimentation and Continuous Flow Validation of Suzuki–Miyaura Cross‐Coupling Reactions. Chemistry - A European Journal. 24(38). 9546–9554. 28 indexed citations

Thangamani, Shankar, Matthew C. Maland, Haroon Mohammad, et al.. (2017). Repurposing Approach Identifies Auranofin with Broad Spectrum Antifungal Activity That Targets Mia40-Erv1 Pathway. Frontiers in Cellular and Infection Microbiology. 7. 4–4. 75 indexed citations

Rajwa, Bartek, et al.. (2017). A Chemogenomic Screening Platform Used to Identify Chemotypes Perturbing HSP90 Pathways. SLAS DISCOVERY. 22(6). 706–719. 4 indexed citations

10.

Thangamani, Shankar, Hassan E. Eldesouky, Haroon Mohammad, et al.. (2016). Ebselen exerts antifungal activity by regulating glutathione (GSH) and reactive oxygen species (ROS) production in fungal cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(1). 3002–3010. 91 indexed citations

11.

An, Ran, Larisa Avramova, Jennifer Sturgis, et al.. (2013). Phenotypic Profiling of Raf Inhibitors and Mitochondrial Toxicity in 3D Tissue Using Biodynamic Imaging. SLAS DISCOVERY. 19(4). 526–537. 28 indexed citations

12.

Robinson, J. Paul, Valery Patsekin, Kathy Ragheb, et al.. (2013). High-Throughput Secondary Screening at the Single-Cell Level. SLAS TECHNOLOGY. 18(1). 85–98. 9 indexed citations

13.

Meyer, Jason M., Karin F.K. Ejendal, Larisa Avramova, et al.. (2012). A “Genome-to-Lead” Approach for Insecticide Discovery: Pharmacological Characterization and Screening of Aedes aegypti D1-like Dopamine Receptors. PLoS neglected tropical diseases. 6(1). e1478–e1478. 60 indexed citations

14.

Tsiper, Maria, Jennifer Sturgis, Larisa Avramova, et al.. (2012). Differential Mitochondrial Toxicity Screening and Multi-Parametric Data Analysis. PLoS ONE. 7(10). e45226–e45226. 40 indexed citations

15.

Ejendal, Karin F.K., Jason M. Meyer, Tarsis F. Brust, et al.. (2012). Discovery of antagonists of tick dopamine receptors via chemical library screening and comparative pharmacological analyses. Insect Biochemistry and Molecular Biology. 42(11). 846–853. 14 indexed citations

16.

Avramova, Larisa, et al.. (2009). Revisiting absorbance at 230 nm as a protein unfolding probe. Analytical Biochemistry. 389(2). 165–170. 67 indexed citations

17.

Avramova, Larisa, et al.. (2007). Inhibitors of anthrax lethal factor. Bioorganic & Medicinal Chemistry Letters. 17(16). 4575–4578. 19 indexed citations

18.

Avramova, Larisa, et al.. (2007). Robotic Hierarchical Mixing for the Production of Combinatorial Libraries of Proteins and Small Molecules. Journal of Combinatorial Chemistry. 10(1). 63–68. 4 indexed citations

19.

Jin, Fulai, Larisa Avramova, Jing Huang, & Tony R. Hazbun. (2007). A yeast two-hybrid smart-pool-array system for protein-interaction mapping. Nature Methods. 4(5). 405–407. 19 indexed citations

20.

Avramova, Larisa, et al.. (2002). Tom34 Unlike Tom20 Does Not Interact with the Leader Sequences of Mitochondrial Precursor Proteins. Archives of Biochemistry and Biophysics. 400(1). 97–104. 17 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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