P. Petkov

101.7k total citations
25 papers, 150 citations indexed

About

P. Petkov is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, P. Petkov has authored 25 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in P. Petkov's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Glycosylation and Glycoproteins Research (3 papers). P. Petkov is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Glycosylation and Glycoproteins Research (3 papers). P. Petkov collaborates with scholars based in Bulgaria, United Kingdom and Germany. P. Petkov's co-authors include Nevena Ilieva, L. Litov, Genoveva Nacheva, Miroslav Rangelov, Nadezhda Todorova, Anastas Gospodinov, Iván Ivanov, Tsvetan G. Gantchev, Darel J. Hunting and Andrey Milchev and has published in prestigious journals such as The Journal of Chemical Physics, Langmuir and International Journal of Molecular Sciences.

In The Last Decade

P. Petkov

21 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Petkov Bulgaria 7 63 26 26 13 13 25 150
L. Litov Bulgaria 6 48 0.8× 25 1.0× 21 0.8× 12 0.9× 7 0.5× 22 121
Thomas Craven United Kingdom 8 62 1.0× 14 0.5× 26 1.0× 6 0.5× 11 0.8× 16 323
Daniel Butler Sweden 11 108 1.7× 21 0.8× 39 1.5× 19 1.5× 22 1.7× 19 313
Sachith D. Gunasinghe Australia 8 98 1.6× 19 0.7× 90 3.5× 26 2.0× 12 0.9× 12 220
Stephen Thompson United Kingdom 6 54 0.9× 21 0.8× 24 0.9× 3 0.2× 24 1.8× 10 155
Zhishang Li China 8 80 1.3× 21 0.8× 37 1.4× 8 0.6× 3 0.2× 14 300
Jingquan Dai China 7 143 2.3× 16 0.6× 11 0.4× 13 1.0× 11 0.8× 7 215
Matthew S. Graus United States 10 94 1.5× 9 0.3× 25 1.0× 17 1.3× 10 0.8× 14 268
Carrie Maxwell United States 9 170 2.7× 55 2.1× 49 1.9× 47 3.6× 17 1.3× 16 299
Tim Durrant United Kingdom 10 19 0.3× 6 0.2× 27 1.0× 22 1.7× 19 1.5× 28 403

Countries citing papers authored by P. Petkov

Since Specialization
Citations

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

Fields of papers citing papers by P. Petkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Petkov

This figure shows the co-authorship network connecting the top 25 collaborators of P. Petkov. A scholar is included among the top collaborators of P. Petkov 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 P. Petkov. P. Petkov 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.
Petkov, P., et al.. (2025). Impact of SARS-CoV-2 RBM Mutations N501Y and E484K on ACE2 Binding: A Combined Computational and Experimental Study. International Journal of Molecular Sciences. 26(9). 4064–4064. 1 indexed citations
2.
Kozhuharov, V., et al.. (2025). Applicability evaluation of selected xAI methods for machine learning algorithms for signal parameters extraction. Journal of Physics Conference Series. 3002(1). 12005–12005.
3.
Petkov, P., Lyudmila Velkova, Aleksandar Dolashki, et al.. (2024). In silico and physico-chemical characterization of cluster formation dynamics in peptide solutions. Biochemistry and Biophysics Reports. 39. 101753–101753. 3 indexed citations
4.
Petkov, P., В. Н. Павлов, Temistocle Grenga, et al.. (2024). Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation. Computers & Fluids. 288. 106498–106498. 4 indexed citations
5.
Petkov, P., Nevena Ilieva, Miroslav Rangelov, et al.. (2023). Insights into the SARS-CoV-2 ORF6 Mechanism of Action. International Journal of Molecular Sciences. 24(14). 11589–11589. 6 indexed citations
6.
Milchev, Andrey & P. Petkov. (2023). Concave polymer brushes inwardly grafted in spherical cavities. The Journal of Chemical Physics. 158(9). 94903–94903. 3 indexed citations
7.
Petkov, P., et al.. (2022). Heparan Sulfate Facilitates Binding of hIFNγ to Its Cell-Surface Receptor hIFNGR1. International Journal of Molecular Sciences. 23(16). 9415–9415.
8.
Litov, L., P. Petkov, Miroslav Rangelov, et al.. (2021). Molecular Mechanism of the Anti-Inflammatory Action of Heparin. International Journal of Molecular Sciences. 22(19). 10730–10730. 39 indexed citations
9.
Petkov, P., et al.. (2020). Computer aided study of the oxytocin - receptor complex binding sites. Bulgarian Portal for Open Science. 4(2). 353–364. 1 indexed citations
10.
Petkov, P., et al.. (2019). Molecular modeling of the effects of glycosylation on the structure and dynamics of human interferon-gamma. Journal of Molecular Modeling. 25(5). 127–127. 14 indexed citations
11.
Petkov, P., et al.. (2019). Self-Association of Antimicrobial Peptides: A Molecular Dynamics Simulation Study on Bombinin. International Journal of Molecular Sciences. 20(21). 5450–5450. 19 indexed citations
12.
Petkov, P., et al.. (2018). Computational study of solution behavior of magainin 2 monomers. Journal of Biomolecular Structure and Dynamics. 37(5). 1231–1240. 5 indexed citations
13.
Gantchev, Tsvetan G., P. Petkov, & Darel J. Hunting. (2017). Conformational rearrangement of 1,2-d(GG) intrastrand cis-diammineplatinum crosslinked DNA is driven by counter-ion penetration within the minor groove of the modified site. Journal of Molecular Modeling. 23(10). 278–278. 8 indexed citations
14.
Petkov, P., et al.. (2015). Towards molecular modeling of the impact of heparin-derived oligosaccharides on hIFN-γ binding. AIP conference proceedings. 1685. 30008–30008. 1 indexed citations
15.
Nacheva, Genoveva, et al.. (2012). Metadynamics study of mutant human interferon-gamma forms. Computers & Mathematics with Applications. 64(3). 272–277. 4 indexed citations
16.
Nacheva, Genoveva, et al.. (2012). In SilicoStudies on the Stability of Human Interferon-Gamma Mutants. Biotechnology & Biotechnological Equipment. 26(sup1). 200–204.
17.
Doytchinova, Irini, P. Petkov, Ivan Dimitrov, Mariyana Atanasova, & Darren R. Flower. (2011). HLA‐DP2 binding prediction by molecular dynamics simulations. Protein Science. 20(11). 1918–1928. 12 indexed citations
18.
Ilieva, Nevena, V. Kozhuharov, L. Litov, et al.. (2010). Development of a Novel PET Imaging System, Based on Resistive-Plate Chambers (RPC). AIP conference proceedings. 820–825. 4 indexed citations
19.
20.
Vlahova, M., et al.. (2005). Genetic Modification of Alfalfa(Medicago Sativa L.)for Quality Improvement and Production of Novel Compounds. Biotechnology & Biotechnological Equipment. 19(sup3). 56–62. 8 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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