Neviana Dimova

466 total citations
9 papers, 348 citations indexed

About

Neviana Dimova is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Neviana Dimova has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Genetics. Recurrent topics in Neviana Dimova's work include RNA regulation and disease (3 papers), Cardiac Ischemia and Reperfusion (2 papers) and RNA Interference and Gene Delivery (2 papers). Neviana Dimova is often cited by papers focused on RNA regulation and disease (3 papers), Cardiac Ischemia and Reperfusion (2 papers) and RNA Interference and Gene Delivery (2 papers). Neviana Dimova collaborates with scholars based in United States, Hong Kong and United Kingdom. Neviana Dimova's co-authors include Franca Cambi, Erming Wang, Peter S. Klein, Hui‐Chuan Huang, G. Praveen Raju, Gregg Rokosh, Haiyan Zhu, Yue Feng, Lixia Zhao and Chang‐Guo Zhan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Stem Cells.

In The Last Decade

Neviana Dimova

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neviana Dimova United States 8 237 36 34 33 29 9 348
Xiya Shen China 10 171 0.7× 89 2.5× 42 1.2× 39 1.2× 35 1.2× 13 391
Qichen Hu China 7 212 0.9× 30 0.8× 10 0.3× 20 0.6× 18 0.6× 16 306
Karina Formoso Argentina 12 213 0.9× 62 1.7× 33 1.0× 19 0.6× 6 0.2× 18 345
Shenglian Yang China 10 300 1.3× 18 0.5× 30 0.9× 37 1.1× 11 0.4× 16 443
Qiaoying Huang China 12 228 1.0× 37 1.0× 27 0.8× 35 1.1× 10 0.3× 28 423
Hye Ji Choi South Korea 11 209 0.9× 26 0.7× 9 0.3× 35 1.1× 53 1.8× 21 343
Ming‐Der Perng Taiwan 12 310 1.3× 53 1.5× 52 1.5× 24 0.7× 12 0.4× 23 431
Kyoungjoo Cho South Korea 10 149 0.6× 26 0.7× 45 1.3× 47 1.4× 10 0.3× 25 340
Frank Yi United States 8 168 0.7× 8 0.2× 35 1.0× 38 1.2× 28 1.0× 11 288
Elizabeth Ensor United Kingdom 10 270 1.1× 24 0.7× 60 1.8× 31 0.9× 12 0.4× 16 390

Countries citing papers authored by Neviana Dimova

Since Specialization
Citations

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

Fields of papers citing papers by Neviana Dimova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neviana Dimova

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

All Works

9 of 9 papers shown
1.
Obal, Detlef, et al.. (2013). Cardiac myocyte-specific transgenic ecSOD targets mitochondria to protect against Ca2+ induced permeability transition. Frontiers in Physiology. 4. 295–295. 4 indexed citations
2.
Dimova, Neviana, Marcin Wysoczynski, & Gregg Rokosh. (2013). Stromal Cell Derived Factor-1α Promotes C-Kit+ Cardiac Stem/Progenitor Cell Quiescence Through Casein Kinase 1α and GSK3β. Stem Cells. 32(2). 487–499. 11 indexed citations
3.
Obal, Detlef, Shujing Dai, Rachel J. Keith, et al.. (2012). Cardiomyocyte-restricted overexpression of extracellular superoxide dismutase increases nitric oxide bioavailability and reduces infarct size after ischemia/reperfusion. Basic Research in Cardiology. 107(6). 38 indexed citations
4.
Zhu, Haiyan, Lixia Zhao, Erming Wang, et al.. (2011). The QKI‐PLP pathway controls SIRT2 abundance in CNS myelin. Glia. 60(1). 69–82. 41 indexed citations
5.
Bargagna‐Mohan, Paola, Adel Hamza, Neviana Dimova, et al.. (2010). Withaferin A Targets Intermediate Filaments Glial Fibrillary Acidic Protein and Vimentin in a Model of Retinal Gliosis. Journal of Biological Chemistry. 285(10). 7657–7669. 75 indexed citations
6.
Wang, Erming, Neviana Dimova, Karen Sperle, et al.. (2008). Deletion of a splicing enhancer disrupts PLP1/DM20 ratio and myelin stability. Experimental Neurology. 214(2). 322–330. 26 indexed citations
7.
Wang, Erming, Neviana Dimova, & Franca Cambi. (2007). PLP/DM20 ratio is regulated by hnRNPH and F and a novel G-rich enhancer in oligodendrocytes. Nucleic Acids Research. 35(12). 4164–4178. 61 indexed citations
8.
Wang, Erming, Zhong Huang, Grace M. Hobson, et al.. (2005). PLP1 alternative splicing in differentiating oligodendrocytes: Characterization of an exonic splicing enhancer. Journal of Cellular Biochemistry. 97(5). 999–1016. 18 indexed citations
9.
Raju, G. Praveen, Neviana Dimova, Peter S. Klein, & Hui‐Chuan Huang. (2002). SANE, a Novel LEM Domain Protein, Regulates Bone Morphogenetic Protein Signaling through Interaction with Smad1. Journal of Biological Chemistry. 278(1). 428–437. 74 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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