Salida Mirzoeva

1.2k total citations
24 papers, 977 citations indexed

About

Salida Mirzoeva is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Salida Mirzoeva has authored 24 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Salida Mirzoeva's work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Salida Mirzoeva is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Salida Mirzoeva collaborates with scholars based in United States, Russia and South Korea. Salida Mirzoeva's co-authors include Jill C. Pelling, D. Martin Watterson, Carrie A. Franzen, Andrea Dunaif, Anne Corbould, Fraser Aird, Thomas J. Lukas, Anastasia Velentza, Karen Chiu and Jacques Haiech and has published in prestigious journals such as PLoS ONE, Biochemistry and Cancer Research.

In The Last Decade

Salida Mirzoeva

24 papers receiving 962 citations

Peers

Salida Mirzoeva
Jesús Sánchez‐Yagüe Spain
J.C. Nwachukwu United States
Siamak Salami Iran
Chiara Zerbinati Italy
Chunhua Qin United States
Gi‐Ryang Kweon South Korea
Julian C. Desmond United States
Sylvie Bardon France
Barry D. Gehm United States
Jesús Sánchez‐Yagüe Spain
Salida Mirzoeva
Citations per year, relative to Salida Mirzoeva Salida Mirzoeva (= 1×) peers Jesús Sánchez‐Yagüe

Countries citing papers authored by Salida Mirzoeva

Since Specialization
Citations

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

Fields of papers citing papers by Salida Mirzoeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salida Mirzoeva

This figure shows the co-authorship network connecting the top 25 collaborators of Salida Mirzoeva. A scholar is included among the top collaborators of Salida Mirzoeva 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 Salida Mirzoeva. Salida Mirzoeva 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.
Agarwal, Shivani, Salida Mirzoeva, Ben Readhead, Joel T. Dudley, & Irina Budunova. (2019). PI3K inhibitors protect against glucocorticoid-induced skin atrophy. EBioMedicine. 41. 526–537. 29 indexed citations
2.
Mirzoeva, Salida, et al.. (2018). Apigenin Inhibits UVB-Induced Skin Carcinogenesis: The Role of Thrombospondin-1 as an Anti-Inflammatory Factor. Neoplasia. 20(9). 930–942. 47 indexed citations
3.
4.
Mirzoeva, Salida, Carrie A. Franzen, & Jill C. Pelling. (2013). Apigenin inhibits TGF-β-induced VEGF expression in human prostate carcinoma cells via a Smad2/3- and Src-dependent mechanism. Molecular Carcinogenesis. 53(8). 598–609. 65 indexed citations
5.
Franzen, Carrie A., Viktor Todorović, Bhushan V. Desai, et al.. (2012). The Desmosomal Armadillo Protein Plakoglobin Regulates Prostate Cancer Cell Adhesion and Motility through Vitronectin-Dependent Src Signaling. PLoS ONE. 7(7). e42132–e42132. 20 indexed citations
6.
Chlenski, Alexandre, Lisa J. Guerrero, Helen R. Salwen, et al.. (2011). Secreted Protein Acidic and Rich in Cysteine Is a Matrix Scavenger Chaperone. PLoS ONE. 6(9). e23880–e23880. 41 indexed citations
7.
Melstrom, Laleh G., Mohammad R. Salabat, Xian-Zhong Ding, et al.. (2010). Apigenin Down-Regulates the Hypoxia Response Genes: HIF-1α, GLUT-1, and VEGF in Human Pancreatic Cancer Cells. Journal of Surgical Research. 167(2). 173–181. 83 indexed citations
8.
Franzen, Carrie A., Evangeline V. Amargo, Viktor Todorović, et al.. (2009). The Chemopreventive Bioflavonoid Apigenin Inhibits Prostate Cancer Cell Motility through the Focal Adhesion Kinase/Src Signaling Mechanism. Cancer Prevention Research. 2(9). 830–841. 66 indexed citations
9.
Mirzoeva, Salida, Nam Deuk Kim, Karen Chiu, et al.. (2008). Inhibition of HIF‐1 alpha and VEGF expression by the chemopreventive bioflavonoid apigenin is accompanied by Akt inhibition in human prostate carcinoma PC3‐M cells. Molecular Carcinogenesis. 47(9). 686–700. 85 indexed citations
10.
Corbould, Anne, et al.. (2006). Enhanced Mitogenic Signaling in Skeletal Muscle of Women With Polycystic Ovary Syndrome. Diabetes. 55(3). 751–759. 137 indexed citations
11.
Schumacher, Andrew M., James P. Schavocky, Anastasia Velentza, Salida Mirzoeva, & D. Martin Watterson. (2004). A Calmodulin-Regulated Protein Kinase Linked to Neuron Survival Is a Substrate for the Calmodulin-Regulated Death-Associated Protein Kinase. Biochemistry. 43(25). 8116–8124. 37 indexed citations
12.
Velentza, Anastasia, Mark S. Wainwright, Salida Mirzoeva, et al.. (2003). An aminopyridazine-based inhibitor of a pro-apoptotic protein kinase attenuates hypoxia-ischemia induced acute brain injury. Bioorganic & Medicinal Chemistry Letters. 13(20). 3465–3470. 81 indexed citations
13.
Watterson, D. Martin, Salida Mirzoeva, Ling Guo, et al.. (2001). Ligand modulation of glial activation: cell permeable, small molecule inhibitors of serine-threonine protein kinases can block induction of interleukin 1β and nitric oxide synthase II. Neurochemistry International. 39(5-6). 459–468. 29 indexed citations
14.
Mirzoeva, Salida, Tanuja Koppal, Tatiana V. Petrova, et al.. (1999). Screening in a cell-based assay for inhibitors of microglial nitric oxide production reveals calmodulin-regulated protein kinases as potential drug discovery targets. Brain Research. 844(1-2). 126–134. 30 indexed citations
15.
Maldonado, Rosa A., Salida Mirzoeva, Lisa M. Godsel, et al.. (1999). Identification of calcium binding sites in the trypanosome flagellar calcium-acyl switch protein. Molecular and Biochemical Parasitology. 101(1-2). 61–70. 15 indexed citations
16.
Mirzoeva, Salida, et al.. (1999). Analysis of the Functional Coupling between Calmodulin's Calcium Binding and Peptide Recognition Properties. Biochemistry. 38(13). 3936–3947. 33 indexed citations
17.
Mirzoeva, Salida, et al.. (1999). Analysis of the Functional Coupling between Calmodulin's Calcium Binding and Peptide Recognition Properties. Biochemistry. 38(42). 14117–14118. 7 indexed citations
18.
Castets, Francis, Gilbert Baillat, Salida Mirzoeva, et al.. (1994). A Brain Synaptosomal Adenylyl Cyclase of High Specific Activity Is Photolabeled with Azido-ATP. Biochemistry. 33(17). 5063–5069. 4 indexed citations
19.
Липкин, В. М., et al.. (1992). Relationship of neural cell adhesion molecules (N‐CAMs) with adenylate cyclase. FEBS Letters. 304(1). 9–11. 4 indexed citations
20.
Липкин, В. М., N.V. Khramtsov, С. Г. Андреева, et al.. (1989). Calmodulin‐independent bovine brain adenylate cyclase Amino acid sequence and nucleotide sequence of the corresponding cDNA. FEBS Letters. 254(1-2). 69–73. 19 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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