Sanda Iacobaş

1.9k total citations
63 papers, 1.4k citations indexed

About

Sanda Iacobaş is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sanda Iacobaş has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sanda Iacobaş's work include Connexins and lens biology (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Molecular Biology Techniques and Applications (7 papers). Sanda Iacobaş is often cited by papers focused on Connexins and lens biology (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Molecular Biology Techniques and Applications (7 papers). Sanda Iacobaş collaborates with scholars based in United States, Brazil and Germany. Sanda Iacobaş's co-authors include Dumitru A. Iacobaş, David C. Spray, Eliana Scemes, Márcia Urban-Maldonado, Herbert B. Tanowitz, Antônio Carlos Campos de Carvalho, Regina Coeli dos Santos Goldenberg, Jonathan E. Cohen, Philip R. Lee and R. Douglas Fields and has published in prestigious journals such as The EMBO Journal, Scientific Reports and Brain Research.

In The Last Decade

Sanda Iacobaş

61 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanda Iacobaş United States 24 863 216 196 178 166 63 1.4k
Radek Dobrowolski United States 25 1.8k 2.0× 298 1.4× 175 0.9× 277 1.6× 118 0.7× 41 2.4k
Francina Munell Spain 23 715 0.8× 300 1.4× 81 0.4× 66 0.4× 114 0.7× 61 1.4k
Virginia Barone Italy 24 1.3k 1.5× 377 1.7× 310 1.6× 136 0.8× 95 0.6× 49 2.5k
Guy M. Lenk United States 23 616 0.7× 339 1.6× 86 0.4× 287 1.6× 39 0.2× 38 1.7k
Ivy Aneas United States 20 926 1.1× 83 0.4× 206 1.1× 99 0.6× 122 0.7× 27 1.5k
Gerald L. Stelmack Canada 23 1.2k 1.3× 409 1.9× 60 0.3× 160 0.9× 87 0.5× 33 1.9k
Andrea Vettori Italy 20 597 0.7× 221 1.0× 432 2.2× 61 0.3× 87 0.5× 43 1.5k
Benoît J. Gentil Canada 22 1.1k 1.3× 388 1.8× 45 0.2× 81 0.5× 147 0.9× 32 1.6k
Jianjun Lu China 18 577 0.7× 402 1.9× 57 0.3× 45 0.3× 131 0.8× 58 1.2k
Thomas Ott Germany 29 1.9k 2.2× 543 2.5× 237 1.2× 82 0.5× 77 0.5× 61 2.7k

Countries citing papers authored by Sanda Iacobaş

Since Specialization
Citations

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

Fields of papers citing papers by Sanda Iacobaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanda Iacobaş

This figure shows the co-authorship network connecting the top 25 collaborators of Sanda Iacobaş. A scholar is included among the top collaborators of Sanda Iacobaş 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 Sanda Iacobaş. Sanda Iacobaş 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.
Iacobaş, Dumitru A., et al.. (2025). Neurotransmission Sex Dichotomy in the Rat Hypothalamic Paraventricular Nucleus in Healthy and Infantile Spasm Model. Current Issues in Molecular Biology. 47(5). 380–380. 1 indexed citations
3.
Iacobaş, Dumitru A., et al.. (2023). Genomic Fabrics of the Excretory System’s Functional Pathways Remodeled in Clear Cell Renal Cell Carcinoma. Current Issues in Molecular Biology. 45(12). 9471–9499. 4 indexed citations
4.
Iacobaş, Dumitru A., Sanda Iacobaş, David C. Spray, et al.. (2021). Retinal Genomic Fabric Remodeling after Optic Nerve Injury. Genes. 12(3). 403–403. 6 indexed citations
6.
Garzoni, Luciana Ribeiro, David C. Spray, Dumitru A. Iacobaş, et al.. (2020). Trypanosoma cruzi Promotes Transcriptomic Remodeling of the JAK/STAT Signaling and Cell Cycle Pathways in Myoblasts. Frontiers in Cellular and Infection Microbiology. 10. 255–255. 11 indexed citations
7.
Iacobaş, Dumitru A., Tamar Chachua, Sanda Iacobaş, et al.. (2018). ACTH and PMX53 recover synaptic transcriptome alterations in a rat model of infantile spasms. Scientific Reports. 8(1). 5722–5722. 22 indexed citations
8.
Iacobaş, Dumitru A., et al.. (2018). Estrogen Protects Neurotransmission Transcriptome During Status Epilepticus. Frontiers in Neuroscience. 12. 332–332. 20 indexed citations
9.
Karpova, Anna, Matouš Hrdinka, Jeffrey Lopez‐Rojas, et al.. (2016). Synaptonuclear messenger PRR 7 inhibits c‐Jun ubiquitination and regulates NMDA ‐mediated excitotoxicity. The EMBO Journal. 35(17). 1923–1934. 28 indexed citations
10.
Friedman, Linda K., J Mancuso, Joerg R. Leheste, et al.. (2013). Transcriptome profiling of hippocampal CA1 after early-life seizure-induced preconditioning may elucidate new genetic therapies for epilepsy. European Journal of Neuroscience. 38(1). 2139–2152. 23 indexed citations
11.
Iacobaş, Sanda, Dumitru A. Iacobaş, David C. Spray, & Eliana Scemes. (2012). The connexin43-dependent transcriptome during brain development: Importance of genetic background. Brain Research. 1487. 131–139. 21 indexed citations
12.
Iacobaş, Sanda, et al.. (2012). Plasticity of the myelination genomic fabric. Molecular Genetics and Genomics. 287(3). 237–246. 15 indexed citations
13.
Adesse, Daniel, Regina Coeli dos Santos Goldenberg, Marcos Fraga Fortes, et al.. (2011). Gap Junctions and Chagas Disease. Advances in Parasitology. 76. 63–81. 22 indexed citations
14.
Rocha, Nazareth N., Patrícia Costa, Luciano Herman Juaçaba Belém, et al.. (2011). Functional and Transcriptomic Recovery of Infarcted Mouse Myocardium Treated with Bone Marrow Mononuclear Cells. Stem Cell Reviews and Reports. 8(1). 251–261. 17 indexed citations
15.
Soares, Milena Botelho Pereira, Ricardo Santana de Lima, Leonardo Lima Rocha, et al.. (2010). Gene Expression Changes Associated with Myocarditis and Fibrosis in Hearts of Mice with Chronic Chagasic Cardiomyopathy. The Journal of Infectious Diseases. 202(3). 416–426. 55 indexed citations
16.
Iacobaş, Dumitru A., Sanda Iacobaş, & Gabriel G. Haddad. (2010). Heart rhythm genomic fabric in hypoxia. Biochemical and Biophysical Research Communications. 391(4). 1769–1774. 15 indexed citations
17.
Iacobaş, Dumitru A., Sanda Iacobaş, & David C. Spray. (2007). Connexin-dependent transcellular transcriptomic networks in mouse brain. Progress in Biophysics and Molecular Biology. 94(1-2). 169–185. 55 indexed citations
18.
Iacobaş, Dumitru A., Sanda Iacobaş, & David C. Spray. (2006). Connexin43 and the brain transcriptome of newborn mice. Genomics. 89(1). 113–123. 41 indexed citations
19.
Iacobaş, Dumitru A., et al.. (2006). Transcriptomic changes in developing kidney exposed to chronic hypoxia. Biochemical and Biophysical Research Communications. 349(1). 329–338. 34 indexed citations
20.
Brand‐Schieber, Elimor, Peter Werner, Dumitru A. Iacobaş, et al.. (2005). Connexin43, the major gap junction protein of astrocytes, is down-regulated in inflamed white matter in an animal model of multiple sclerosis. Journal of Neuroscience Research. 80(6). 798–808. 101 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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