Katarina Davalieva

690 total citations
34 papers, 512 citations indexed

About

Katarina Davalieva is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Katarina Davalieva has authored 34 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Spectroscopy and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Katarina Davalieva's work include Advanced Proteomics Techniques and Applications (12 papers), Molecular Biology Techniques and Applications (8 papers) and Cancer, Lipids, and Metabolism (6 papers). Katarina Davalieva is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Molecular Biology Techniques and Applications (8 papers) and Cancer, Lipids, and Metabolism (6 papers). Katarina Davalieva collaborates with scholars based in North Macedonia, France and Austria. Katarina Davalieva's co-authors include Ivana Maleva Kostovska, Momir Polenaković, Andrew J. Dwork, Gordana Petruševska, Dijana Plaseska‐Karanfilska, Оливер Станков, Сотир Ставридис, Georgi D. Efremov, Predrag Noveski and Michal Alexovič and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biology of Reproduction.

In The Last Decade

Katarina Davalieva

33 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarina Davalieva North Macedonia 13 261 106 104 78 54 34 512
Corina Mayrhofer Austria 12 284 1.1× 91 0.9× 37 0.4× 28 0.4× 39 0.7× 23 463
Xue Cai China 8 276 1.1× 204 1.9× 34 0.3× 37 0.5× 13 0.2× 24 437
Marina Rodríguez Spain 12 211 0.8× 15 0.1× 94 0.9× 69 0.9× 130 2.4× 24 482
WE Grizzle United States 17 335 1.3× 17 0.2× 83 0.8× 169 2.2× 17 0.3× 29 673
Lowell G. Sheflin United States 16 687 2.6× 25 0.2× 76 0.7× 94 1.2× 20 0.4× 34 875
Weigang Ge China 11 344 1.3× 275 2.6× 41 0.4× 46 0.6× 15 0.3× 19 519
Toshifusa Toda Japan 8 220 0.8× 66 0.6× 9 0.1× 45 0.6× 48 0.9× 13 385
Phillip P. Minghetti United States 11 566 2.2× 45 0.4× 36 0.3× 25 0.3× 23 0.4× 16 979
Susanne Ragg United States 11 560 2.1× 129 1.2× 31 0.3× 34 0.4× 8 0.1× 18 708
Maria Merkulova United States 13 534 2.0× 9 0.1× 81 0.8× 50 0.6× 15 0.3× 19 768

Countries citing papers authored by Katarina Davalieva

Since Specialization
Citations

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

Fields of papers citing papers by Katarina Davalieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarina Davalieva

This figure shows the co-authorship network connecting the top 25 collaborators of Katarina Davalieva. A scholar is included among the top collaborators of Katarina Davalieva 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 Katarina Davalieva. Katarina Davalieva 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.
Davalieva, Katarina, et al.. (2025). [Pd(dach)Cl2] Complex Targets Proteins Involved in Ribosomal Biogenesis, and RNA Splicing in HeLa Cells. Inorganics. 13(7). 215–215.
2.
Dučić, Tanja, et al.. (2025). Analysis of Biomolecular Changes in HeLa Cervical Cancer Cell Line Induced by Interaction with [Pd(dach)Cl2]. Inorganics. 13(1). 20–20. 2 indexed citations
3.
Davalieva, Katarina, et al.. (2024). Decoding recurrent pregnancy loss: insights from comparative proteomics studies. Biology of Reproduction. 112(1). 1–17. 3 indexed citations
4.
5.
Davalieva, Katarina, et al.. (2023). Proteomics Profiling of Bladder Cancer Tissues from Early to Advanced Stages Reveals NNMT and GALK1 as Biomarkers for Early Detection and Prognosis of BCa. International Journal of Molecular Sciences. 24(19). 14938–14938. 1 indexed citations
6.
Mladenovska, Kristina, et al.. (2023). Rosuvastatin effects on the HDL proteome in hyperlipidemic patients. Acta Pharmaceutica. 73(3). 363–384. 1 indexed citations
7.
Alexovič, Michal, et al.. (2023). Human peripheral blood mononuclear cells as a valuable source of disease‐related biomarkers: Evidence from comparative proteomics studies. PROTEOMICS - CLINICAL APPLICATIONS. 18(2). e2300072–e2300072. 22 indexed citations
8.
Davalieva, Katarina, Predrag Noveski, Katerina Kubelka‐Sabit, et al.. (2022). Comparative proteomics analysis of human FFPE testicular tissues reveals new candidate biomarkers for distinction among azoospermia types and subtypes. Journal of Proteomics. 267. 104686–104686. 14 indexed citations
9.
Plaseska‐Karanfilska, Dijana, et al.. (2022). Proteomics of azoospermia: Towards the discovery of reliable markers for non‐invasive diagnosis. PROTEOMICS - CLINICAL APPLICATIONS. 17(1). e2200060–e2200060. 3 indexed citations
10.
Latosińska, Agnieszka, Katarina Davalieva, Manousos Makridakis, et al.. (2020). Molecular Changes in Tissue Proteome during Prostate Cancer Development: Proof-of-Principle Investigation. Diagnostics. 10(9). 655–655. 15 indexed citations
11.
Davalieva, Katarina, Ivana Maleva Kostovska, & Andrew J. Dwork. (2016). Proteomics Research in Schizophrenia. Frontiers in Cellular Neuroscience. 10. 18–18. 63 indexed citations
12.
Davalieva, Katarina, Ivana Maleva Kostovska, Katerina Kubelka‐Sabit, et al.. (2015). Proteomics analysis of malignant and benign prostate tissue by 2D DIGE/MS reveals new insights into proteins involved in prostate cancer. The Prostate. 75(14). 1586–1600. 64 indexed citations
13.
14.
Davalieva, Katarina, et al.. (2015). Proteomics analysis of urine reveals acute phase response proteins as candidate diagnostic biomarkers for prostate cancer. Proteome Science. 13(1). 2–2. 53 indexed citations
15.
Davalieva, Katarina, et al.. (2013). Fast, reliable and low cost user-developed protocol for detection, quantification and genotyping of hepatitis C virus. Journal of Virological Methods. 196. 104–112. 9 indexed citations
16.
Davalieva, Katarina, et al.. (2012). Proteomic analysis of seminal plasma in men with different spermatogenic impairment. Andrologia. 44(4). 256–264. 49 indexed citations
17.
Davalieva, Katarina, et al.. (2012). Proteomic analysis of infiltrating ductal carcinoma tissues by coupled 2-D DIGE/MS/MS analysis. Molecular Biology. 46(3). 421–432. 4 indexed citations
18.
Davalieva, Katarina & Г. Д. Ефремов. (2010). A new thermostable DNA polymerase mixture for efficient amplification of long DNA fragments. Applied Biochemistry and Microbiology. 46(2). 230–234. 3 indexed citations
19.
Davalieva, Katarina & Georgi D. Efremov. (2010). Influence of salts and pcr inhibitors on the amplification capacity of three thermostable DNA polymerases. Macedonian Journal of Chemistry and Chemical Engineering. 29(1). 57–57. 13 indexed citations
20.
Davalieva, Katarina, et al.. (2006). Non-invasive fetal sex determination using real-time PCR. The Journal of Maternal-Fetal & Neonatal Medicine. 19(6). 337–342. 9 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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