Nadezda Apostolova

17.7k total citations
87 papers, 3.9k citations indexed

About

Nadezda Apostolova is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Nadezda Apostolova has authored 87 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 28 papers in Epidemiology and 19 papers in Infectious Diseases. Recurrent topics in Nadezda Apostolova's work include HIV/AIDS drug development and treatment (19 papers), Autophagy in Disease and Therapy (16 papers) and HIV Research and Treatment (15 papers). Nadezda Apostolova is often cited by papers focused on HIV/AIDS drug development and treatment (19 papers), Autophagy in Disease and Therapy (16 papers) and HIV Research and Treatment (15 papers). Nadezda Apostolova collaborates with scholars based in Spain, Italy and United States. Nadezda Apostolova's co-authors include Ana Blas‐García, Juan V. Esplugues, Víctor M. Víctor, Milagros Rocha, Miguel González‐Guzmán, Pedro L. Rodrı́guez, Ángeles Álvarez, Víctor M. Víctor, José Raúl Herance and Haryes A. Funes and has published in prestigious journals such as ACS Nano, The Plant Cell and Hepatology.

In The Last Decade

Nadezda Apostolova

85 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadezda Apostolova Spain 34 1.5k 753 714 603 587 87 3.9k
Lara Gibellini Italy 34 1.8k 1.2× 495 0.7× 131 0.2× 464 0.8× 299 0.5× 97 3.9k
Leonarda Troiano Italy 35 1.5k 1.0× 315 0.4× 111 0.2× 301 0.5× 328 0.6× 72 3.3k
Nava Bashan Israel 40 1.6k 1.1× 1.5k 2.1× 99 0.1× 280 0.5× 362 0.6× 98 5.5k
Vikas Misra United States 27 1.9k 1.3× 348 0.5× 72 0.1× 383 0.6× 723 1.2× 41 3.3k
Yazen Alnouti United States 33 1.0k 0.7× 612 0.8× 51 0.1× 608 1.0× 547 0.9× 91 3.5k
Yanjie Li China 27 720 0.5× 348 0.5× 184 0.3× 115 0.2× 95 0.2× 152 2.8k
Claude Forest France 37 2.3k 1.5× 787 1.0× 56 0.1× 165 0.3× 164 0.3× 112 4.3k
Salim Merali United States 32 1.4k 0.9× 853 1.1× 92 0.1× 302 0.5× 84 0.1× 97 3.2k
Jon G. Mabley United States 51 1.9k 1.3× 563 0.7× 131 0.2× 227 0.4× 34 0.1× 85 6.7k
Sylvie Legrand-Poels Belgium 24 2.0k 1.4× 976 1.3× 139 0.2× 121 0.2× 66 0.1× 39 4.8k

Countries citing papers authored by Nadezda Apostolova

Since Specialization
Citations

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

Fields of papers citing papers by Nadezda Apostolova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezda Apostolova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezda Apostolova. A scholar is included among the top collaborators of Nadezda Apostolova 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 Nadezda Apostolova. Nadezda Apostolova 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.
Bañuls, Celia, Nadezda Apostolova, Carlos Morillas, et al.. (2025). Poor glycaemic control in type 2 diabetes compromises leukocyte oxygen consumption rate, OXPHOS complex content and neutrophil-endothelial interactions. Redox Biology. 81. 103516–103516. 2 indexed citations
2.
Lucantoni, Federico, Pedro Díaz-Pozo, Dimitri Dorcaratto, et al.. (2024). Interference with mitochondrial function as part of the antifibrogenic effect of Rilpivirine: A step towards novel targets in hepatic stellate cell activation. Biomedicine & Pharmacotherapy. 178. 117206–117206. 2 indexed citations
3.
Hidalgo, Marta R., Francisco J. Roig, Juan V. Esplugues, et al.. (2024). Integrated transcriptomic landscape of the effect of anti‐steatotic treatments in high‐fat diet mouse models of non‐alcoholic fatty liver disease. The Journal of Pathology. 262(3). 377–389. 1 indexed citations
4.
Apostolova, Nadezda, et al.. (2024). The Catastrophic Water Loss of Ancient Lake Prespa: A Chronicle of a Death Foretold. Hydrology. 11(12). 199–199. 1 indexed citations
5.
Toscá, Joan, et al.. (2023). Anti-inflammatory and immunomodulating effects of rilpivirine: Relevance for the therapeutics of chronic liver disease. Biomedicine & Pharmacotherapy. 167. 115537–115537. 6 indexed citations
6.
Galindo, Marı́a José, et al.. (2022). Down-Regulation of the Longevity-Associated Protein SIRT1 in Peripheral Blood Mononuclear Cells of Treated HIV Patients. Cells. 11(3). 348–348. 5 indexed citations
7.
Díaz-Pozo, Pedro, Francisco Canet, Abdessamad Grirrane, et al.. (2022). Gold Nanoparticles Supported on Ceria Nanoparticles Modulate Leukocyte–Endothelium Cell Interactions and Inflammation in Type 2 Diabetes. Antioxidants. 11(11). 2297–2297. 7 indexed citations
8.
Lucantoni, Federico, et al.. (2022). Implication of autophagy in the antifibrogenic effect of Rilpivirine: when more is less. Cell Death and Disease. 13(4). 385–385. 8 indexed citations
9.
Apostolova, Nadezda, et al.. (2021). Hypusinated eIF5A is required for the translation of collagen. Journal of Cell Science. 134(18). 11 indexed citations
10.
Cossarizza, Andrea, et al.. (2021). Apoptosis of Hepatocytes: Relevance for HIV-Infected Patients under Treatment. Cells. 10(2). 410–410. 10 indexed citations
11.
Castelli, D, et al.. (2018). The antiretroviral rilpivirine induces hepatic regeneration in liver fibrosis and cirrhosis by modulating the STAT3/STAT1 balance. Journal of Hepatology. 68. S400–S400. 1 indexed citations
12.
13.
Alegre, Fernando, et al.. (2017). Role of p62/SQSTM1 beyond autophagy: a lesson learned from drug‐induced toxicity in vitro. British Journal of Pharmacology. 175(3). 440–455. 33 indexed citations
14.
Alegre, Fernando, et al.. (2017). Lon protease: a novel mitochondrial matrix protein in the interconnection between drug‐induced mitochondrial dysfunction and endoplasmic reticulum stress. British Journal of Pharmacology. 174(23). 4409–4429. 31 indexed citations
15.
Alegre, Fernando, Haryes A. Funes, Ana Blas‐García, et al.. (2014). Mitochondrial (dys)function – a factor underlying the variability of efavirenz‐induced hepatotoxicity?. British Journal of Pharmacology. 172(7). 1713–1727. 23 indexed citations
16.
Apostolova, Nadezda & Víctor M. Víctor. (2014). Molecular Strategies for Targeting Antioxidants to Mitochondria: Therapeutic Implications. Antioxidants and Redox Signaling. 22(8). 686–729. 223 indexed citations
17.
18.
Blas‐García, Ana, et al.. (2012). Profile of stress and toxicity gene expression in human hepatic cells treated with Efavirenz. Antiviral Research. 94(3). 232–241. 31 indexed citations
19.
Apostolova, Nadezda. (2008). Mitochondrial role of Apoptosis-Inducing Factor (AIF): Oxidative Phosphorylation and Reactive Oxygen Species.. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 1 indexed citations
20.
Cervera, Ana M., et al.. (2008). Cells Silenced for SDHB Expression Display Characteristic Features of the Tumor Phenotype. Cancer Research. 68(11). 4058–4067. 78 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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