Petko Alov

612 total citations
35 papers, 433 citations indexed

About

Petko Alov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Petko Alov has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 8 papers in Organic Chemistry. Recurrent topics in Petko Alov's work include Computational Drug Discovery Methods (16 papers), Free Radicals and Antioxidants (7 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Petko Alov is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Free Radicals and Antioxidants (7 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Petko Alov collaborates with scholars based in Bulgaria, Italy and United Kingdom. Petko Alov's co-authors include Ivanka Tsakovska, Ilza Pajeva, M Cronin, Tania Pencheva, Elena Fioravanzo, Andrew Worth, Vessela Vitcheva, Simona Kovarich, Aleksandra Mostrąg and Chihae Yang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Petko Alov

33 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petko Alov Bulgaria	12	138	103	96	57	52	35	433
Michal Říha Czechia	14	113 0.8×	33 0.3×	145 1.5×	137 2.4×	32 0.6×	25	549
Beate Nicol United Kingdom	13	156 1.1×	83 0.8×	16 0.2×	64 1.1×	20 0.4×	21	737
Paul W. Elsinghorst Germany	17	177 1.3×	112 1.1×	151 1.6×	19 0.3×	9 0.2×	40	679
Angelica Mazzolari Italy	16	451 3.3×	269 2.6×	136 1.4×	48 0.8×	13 0.3×	48	794
Jan-Peter H. T. M. Ploemen Netherlands	7	221 1.6×	48 0.5×	34 0.4×	25 0.4×	9 0.2×	8	399
Nojood Altwaijry Saudi Arabia	12	267 1.9×	47 0.5×	79 0.8×	35 0.6×	11 0.2×	46	530
Eva Schlede Germany	15	81 0.6×	76 0.7×	28 0.3×	9 0.2×	20 0.4×	33	554
Leena Laitinen Finland	11	168 1.2×	16 0.2×	52 0.5×	142 2.5×	44 0.8×	15	553
Mi Jeong Kang South Korea	16	401 2.9×	14 0.1×	111 1.2×	31 0.5×	16 0.3×	41	806
Beth Tainer United States	9	234 1.7×	41 0.4×	92 1.0×	23 0.4×	9 0.2×	9	850

Countries citing papers authored by Petko Alov

Since Specialization

Citations

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

Fields of papers citing papers by Petko Alov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petko Alov

This figure shows the co-authorship network connecting the top 25 collaborators of Petko Alov. A scholar is included among the top collaborators of Petko Alov 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 Petko Alov. Petko Alov 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

Angelova, Maria, Petko Alov, Ivanka Tsakovska, et al.. (2025). Pairwise Performance Comparison of Docking Scoring Functions: Computational Approach Using InterCriteria Analysis. Molecules. 30(13). 2777–2777.

Alov, Petko, Hristo Najdenski, Tania Pencheva, et al.. (2022). New Potential Pharmacological Targets of Plant-Derived Hydroxyanthraquinones from Rubia spp.. Molecules. 27(10). 3274–3274. 2 indexed citations

Kancheva, V. D., Maria Antonietta Dettori, Davide Fabbri, et al.. (2021). Natural Chain-Breaking Antioxidants and Their Synthetic Analogs as Modulators of Oxidative Stress. Antioxidants. 10(4). 624–624. 18 indexed citations

Peng, Yunhui, Ivanka Tsakovska, Petko Alov, et al.. (2021). Computational Analysis of Chemical Space of Natural Compounds Interacting with Sulfotransferases. Molecules. 26(21). 6360–6360. 2 indexed citations

Zaharieva, Maya M., Mattia Mori, Petko Alov, et al.. (2020). Dual SMO/BRAF Inhibition by Flavonolignans from Silybum marianum. Antioxidants. 9(5). 384–384. 12 indexed citations

Alov, Petko, et al.. (2020). Estimation of structural similarity between plant-derived phenolic compounds and drug molecules by virtual screening of DrugBank. 14(2). 83–86. 1 indexed citations

Vitcheva, Vessela, Rumyana Simeonova, Ilina Krasteva, et al.. (2019). In silico and in vivo studies of Astragalus glycyphylloides saponin(s) with relevance to metabolic syndrome modulation. Food and Chemical Toxicology. 130. 317–325. 4 indexed citations

Tsakovska, Ivanka, et al.. (2019). Molecular Modeling Approach to Study the PPARγ–Ligand Interactions. Methods in molecular biology. 1966. 261–289. 2 indexed citations

Alov, Petko, Ivanka Tsakovska, Tania Pencheva, et al.. (2018). In vitro and in silico studies of the membrane permeability of natural flavonoids from Silybum marianum (L.) Gaertn. and their derivatives. Phytomedicine. 53. 79–85. 17 indexed citations

10.

Alov, Petko, Vessela Vitcheva, Mattia Mori, et al.. (2017). Natural modulators of nonalcoholic fatty liver disease: Mode of action analysis and in silico ADME-Tox prediction. Toxicology and Applied Pharmacology. 337. 45–66. 12 indexed citations

11.

Tsakovska, Ivanka, Ilza Pajeva, Petko Alov, et al.. (2017). Quantitative structure-skin permeability relationships. Toxicology. 387. 27–42. 72 indexed citations

12.

Tsakovska, Ivanka, Ilza Pajeva, Petko Alov, et al.. (2016). The application of molecular modelling in the safety assessment of chemicals: A case study on ligand-dependent PPARγ dysregulation. Toxicology. 392. 140–154. 19 indexed citations

13.

Fratev, F., et al.. (2014). Molecular Dynamics Simulation of the Human Estrogen Receptor Alpha: Contribution to the Pharmacophore of the Agonists. 1(1). 1 indexed citations

14.

Alov, Petko, M Cronin, Elena Fioravanzo, et al.. (2013). Toward better understanding of liver steatosis MoA: Molecular modelling study of PPAR gamma receptor. Toxicology Letters. 221. S85–S85. 2 indexed citations

15.

Tsakovska, Ivanka, Ilza Pajeva, Petko Alov, & Andrew Worth. (2011). Recent Advances in the Molecular Modeling of Estrogen Receptor-Mediated Toxicity. Advances in protein chemistry and structural biology. 85. 217–251. 10 indexed citations

16.

Alov, Petko, et al.. (1999). In vitro effects of calcium channel blockers and beta-adrenergic blocking agents on microsomal lipid peroxidation and cytochrome p-450 content. Experimental and Toxicologic Pathology. 51(4-5). 277–281. 4 indexed citations

17.

Alov, Petko, et al.. (1996). Effect of multiple administration of calcium antagonists on lipid peroxidation in rat liver microsomes. General Pharmacology The Vascular System. 27(5). 891–893. 3 indexed citations

18.

Alov, Petko, et al.. (1994). An unusual temperature dependence of malondialdehyde formation in Fe2+/H2O2-initiated lipid peroxidation of phosphatidylcholine liposomes.. PubMed. 43(3). 163–7. 4 indexed citations

19.

Dikalov, Sergey, et al.. (1993). Role of Iron Ion Chelation by Quinones in Their Reduction, OH-Radical Generation, and Lipid Peroxidation. Biochemical and Biophysical Research Communications. 195(1). 113–119. 20 indexed citations

20.

Dikalov, Sergey, et al.. (1993). Role of iron ion chelation by quinones in their reduction, OH-radical generation and lipid peroxidation. Free Radical Biology and Medicine. 15(5). 523–523. 1 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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