Ilza Pajeva

2.8k total citations
83 papers, 2.2k citations indexed

About

Ilza Pajeva is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Ilza Pajeva has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 32 papers in Computational Theory and Mathematics and 29 papers in Oncology. Recurrent topics in Ilza Pajeva's work include Computational Drug Discovery Methods (32 papers), Drug Transport and Resistance Mechanisms (27 papers) and Cancer therapeutics and mechanisms (18 papers). Ilza Pajeva is often cited by papers focused on Computational Drug Discovery Methods (32 papers), Drug Transport and Resistance Mechanisms (27 papers) and Cancer therapeutics and mechanisms (18 papers). Ilza Pajeva collaborates with scholars based in Bulgaria, Germany and Italy. Ilza Pajeva's co-authors include Michael Wiese, Ivanka Tsakovska, Christoph Globisch, Petko Alov, Henrik Müller, Tania Pencheva, Sabrina Dallavalle, Miguel Machuqueiro, Loretta Lazzarato and Vladimir Dobričić and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Ilza Pajeva

80 papers receiving 2.2k citations

Peers

Ilza Pajeva

ONCOL

CTM

Gian Camenisch Switzerland

Eszter Hazai Hungary

Michael Wiese Germany

Liang‐Shang Gan United States

Fabio Broccatelli United States

Anne H. Dantzig United States

Katrin Palm Sweden

Andreia Palmeira Portugal

Elisabetta Teodori Italy

Hongjian Zhang China

Gian Camenisch Switzerland

Ilza Pajeva

871 ×0.8

915 ×0.9

ONCOL

440 ×1.1

CTM

107 ×0.3

318 ×0.9

Citations per year, relative to Ilza Pajeva Ilza Pajeva (= 1×) peers Gian Camenisch

Countries citing papers authored by Ilza Pajeva

Since Specialization

Citations

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

Fields of papers citing papers by Ilza Pajeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilza Pajeva

This figure shows the co-authorship network connecting the top 25 collaborators of Ilza Pajeva. A scholar is included among the top collaborators of Ilza Pajeva 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 Ilza Pajeva. Ilza Pajeva 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, Violina T., B. Georgiev, Tania Pencheva, et al.. (2023). Design, Synthesis, In Silico Studies and In Vitro Evaluation of New Indole- and/or Donepezil-like Hybrids as Multitarget-Directed Agents for Alzheimer’s Disease. Pharmaceuticals. 16(9). 1194–1194. 17 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

Dallavalle, Sabrina, Vladimir Dobričić, Loretta Lazzarato, et al.. (2020). Improvement of conventional anti-cancer drugs as new tools against multidrug resistant tumors. Drug Resistance Updates. 50. 100682–100682. 235 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

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

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

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

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

10.

Wiese, Michael & Ilza Pajeva. (2014). HAGE, the helicase antigen as a biomarker for breast cancer prognosis (WO2013144616). Expert Opinion on Therapeutic Patents. 24(6). 723–725. 2 indexed citations

11.

Pajeva, Ilza, et al.. (2013). Interactions of the Multidrug Resistance Modulators Tariquidar and Elacridar and their Analogues with P‐glycoprotein. ChemMedChem. 8(10). 1701–1713. 29 indexed citations

12.

Pajeva, Ilza, et al.. (2012). Structure-Activity Relationships of Pyrrole Hydrazones as New Anti-Tuberculosis Agents. Medicinal Chemistry. 8(3). 462–473. 11 indexed citations

13.

Pencheva, Tania, David Lagorce, Ilza Pajeva, Bruno O. Villoutreix, & Maria A. Miteva. (2011). AMMOS Software: Method and Application. Methods in molecular biology. 819. 127–141. 1 indexed citations

14.

Pencheva, Tania, et al.. (2010). Post-docking virtual screening of diverse binding pockets: Comparative study using DOCK, AMMOS, X-Score and FRED scoring functions. European Journal of Medicinal Chemistry. 45(6). 2622–2628. 18 indexed citations

15.

Müller, Henrik, et al.. (2009). Synthesis and biological evaluation of a small molecule library of 3rd generation multidrug resistance modulators. Bioorganic & Medicinal Chemistry. 17(6). 2524–2535. 49 indexed citations

16.

Pajeva, Ilza & Michael Wiese. (2009). Structure–Activity Relationships of Tariquidar Analogs as Multidrug Resistance Modulators. The AAPS Journal. 11(3). 435–44. 34 indexed citations

17.

Pajeva, Ilza, Christoph Globisch, & Michael Wiese. (2009). Combined Pharmacophore Modeling, Docking, and 3D QSAR Studies of ABCB1 and ABCC1 Transporter Inhibitors. ChemMedChem. 4(11). 1883–1896. 69 indexed citations

18.

Netzeva, Tatiana I., et al.. (2006). Review of Quantitative Structure - Activity Relationships for Acute Mammalian Toxicity. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Pajeva, Ilza, et al.. (2005). Interactions of Poly(vinylpyrrolidone) with Ibuprofen and Naproxen: Experimental and Modeling Studies. Pharmaceutical Research. 22(5). 806–815. 58 indexed citations

20.

Pajeva, Ilza, Michael Wiese, Hans Peter Cordes, & Joachim K. Seydel. (1996). Membrane interactions of some catamphiphilic drugs and relation to their multidrug-resistance-reversing ability. Journal of Cancer Research and Clinical Oncology. 122(1). 27–40. 62 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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