L. Litov

107.2k total citations
22 papers, 121 citations indexed

About

L. Litov is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Nuclear and High Energy Physics. According to data from OpenAlex, L. Litov has authored 22 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Nuclear and High Energy Physics. Recurrent topics in L. Litov's work include Particle Detector Development and Performance (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). L. Litov is often cited by papers focused on Particle Detector Development and Performance (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). L. Litov collaborates with scholars based in Bulgaria, Russia and France. L. Litov's co-authors include Nevena Ilieva, P. Petkov, Genoveva Nacheva, J. Damgov, Miroslav Rangelov, Nadezhda Todorova, Anastas Gospodinov, Iván Ivanov, Petko St. Petkov and V. Spassov and has published in prestigious journals such as International Journal of Molecular Sciences, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

L. Litov

20 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Litov Bulgaria 6 48 25 21 14 12 22 121
P. Petkov Bulgaria 7 63 1.3× 26 1.0× 26 1.2× 3 0.2× 13 1.1× 25 150
Katie Hadley South Africa 6 72 1.5× 9 0.4× 43 2.0× 19 1.6× 7 180
Petra Muckova Germany 4 33 0.7× 6 0.2× 33 1.6× 12 1.0× 5 122
Jingquan Dai China 7 143 3.0× 16 0.6× 11 0.5× 13 1.1× 7 215
Elaine Cheung United States 5 30 0.6× 11 0.4× 31 1.5× 11 0.9× 11 100
Jugmohit Toor United States 6 112 2.3× 11 0.4× 137 6.5× 3 0.2× 33 2.8× 7 194
Elizabeth Goodwin United States 7 64 1.3× 5 0.2× 11 0.5× 13 1.1× 9 187
Paula C. Soto United States 5 85 1.8× 9 0.4× 79 3.8× 10 0.8× 7 150
Kende Lőrincz Hungary 10 37 0.8× 15 0.6× 12 0.6× 86 7.2× 45 260
Laura E. Smith United States 7 91 1.9× 3 0.1× 40 1.9× 18 1.5× 10 193

Countries citing papers authored by L. Litov

Since Specialization
Citations

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

Fields of papers citing papers by L. Litov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Litov

This figure shows the co-authorship network connecting the top 25 collaborators of L. Litov. A scholar is included among the top collaborators of L. Litov 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 L. Litov. L. Litov 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.
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
3.
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
4.
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.
5.
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
6.
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
7.
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
8.
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
9.
Litov, L., et al.. (2017). The Music of Human Hormones. Leonardo Music Journal. 28. 38–46. 1 indexed citations
10.
Petkov, P., K. Maskos, Nevena Ilieva, et al.. (2017). His-FLAG Tag as a Fusion Partner of Glycosylated Human Interferon-Gamma and Its Mutant: Gain or Loss?. BioMed Research International. 2017. 1–12. 6 indexed citations
11.
Ilieva, Nevena, et al.. (2016). Are there folding pathways in the functional stages of intrinsically disordered proteins?. AIP conference proceedings. 1773. 110008–110008. 1 indexed citations
12.
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
13.
Nacheva, Genoveva, et al.. (2012). Metadynamics study of mutant human interferon-gamma forms. Computers & Mathematics with Applications. 64(3). 272–277. 4 indexed citations
14.
Nacheva, Genoveva, et al.. (2012). In SilicoStudies on the Stability of Human Interferon-Gamma Mutants. Biotechnology & Biotechnological Equipment. 26(sup1). 200–204.
15.
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
16.
Litov, L.. (2003). Particle identification in the NA48 experiment using neural networks. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 502(2-3). 495–499. 1 indexed citations
17.
Damgov, J. & L. Litov. (2002). Application of neural networks for energy reconstruction. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 482(3). 776–788. 8 indexed citations
18.
Litov, L., et al.. (1999). Application of avalanche photodiodes as a readout for scintillator tile-fiber systems. Journal of High Energy Physics. 1999(9). 22–22. 2 indexed citations
19.
Budagov, Yu.A., Yu.F. Lomakin, L. Lytkin, et al.. (1992). Reconstruction of the coordinate and energy of the electromagnetic shower in the lead-glass hodoscope calorimeter at different entrance angles of 5 GeV positrons. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 311(3). 472–478. 1 indexed citations
20.
Ilieva, Nevena & L. Litov. (1992). Superfield wave function for the N=4, d=4 superparticle. Physics Letters B. 294(2). 189–195. 2 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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