Malak Pirtskhalava

1.5k total citations · 1 hit paper
19 papers, 972 citations indexed

About

Malak Pirtskhalava is a scholar working on Molecular Biology, Microbiology and Materials Chemistry. According to data from OpenAlex, Malak Pirtskhalava has authored 19 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Microbiology and 5 papers in Materials Chemistry. Recurrent topics in Malak Pirtskhalava's work include Antimicrobial Peptides and Activities (13 papers), Biochemical and Structural Characterization (10 papers) and Machine Learning in Bioinformatics (7 papers). Malak Pirtskhalava is often cited by papers focused on Antimicrobial Peptides and Activities (13 papers), Biochemical and Structural Characterization (10 papers) and Machine Learning in Bioinformatics (7 papers). Malak Pirtskhalava collaborates with scholars based in United States, Georgia and Russia. Malak Pirtskhalava's co-authors include Boris Vishnepolsky, Michael Tartakovsky, Alex Rosenthal, Darrell E. Hurt, Andrei Gabrielian, H. L. Griggs, R. Burke Squires, Patrice Duroux, Marie‐Paule Lefranc and Phillip Cruz and has published in prestigious journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics and Protein Science.

In The Last Decade

Malak Pirtskhalava

18 papers receiving 962 citations

Hit Papers

DBAASP v3: database of antimicrobial/cytotoxic activity a... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malak Pirtskhalava United States 9 833 754 111 86 65 19 972
Boris Vishnepolsky Georgia 12 905 1.1× 755 1.0× 118 1.1× 87 1.0× 64 1.0× 23 1.1k
Faiza Hanif Waghu India 8 859 1.0× 846 1.1× 131 1.2× 127 1.5× 36 0.6× 9 1.1k
Deepika Mathur India 13 999 1.2× 530 0.7× 49 0.4× 109 1.3× 137 2.1× 16 1.2k
Abhishek Tuknait India 6 940 1.1× 480 0.6× 59 0.5× 76 0.9× 123 1.9× 6 1.0k
Isabel C. M. Fensterseifer Brazil 17 655 0.8× 578 0.8× 77 0.7× 139 1.6× 19 0.3× 24 886
Pratima Gurung United Kingdom 7 487 0.6× 429 0.6× 66 0.6× 89 1.0× 22 0.3× 11 663
Karen G. N. Oshiro Brazil 11 526 0.6× 575 0.8× 81 0.7× 91 1.1× 12 0.2× 20 745
Carolina O. Matos Brazil 7 390 0.5× 328 0.4× 95 0.9× 42 0.5× 16 0.2× 10 506
Vívian de Jesus Miranda Brazil 7 404 0.5× 358 0.5× 56 0.5× 73 0.8× 17 0.3× 8 599
Carsten P. Sönksen Denmark 8 560 0.7× 502 0.7× 84 0.8× 115 1.3× 10 0.2× 10 784

Countries citing papers authored by Malak Pirtskhalava

Since Specialization
Citations

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

Fields of papers citing papers by Malak Pirtskhalava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malak Pirtskhalava

This figure shows the co-authorship network connecting the top 25 collaborators of Malak Pirtskhalava. A scholar is included among the top collaborators of Malak Pirtskhalava 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 Malak Pirtskhalava. Malak Pirtskhalava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Vishnepolsky, Boris, Andrei Gabrielian, Alex Rosenthal, et al.. (2024). Evaluation of the synergistic potential and mechanisms of action for de novo designed cationic antimicrobial peptides. Heliyon. 10(6). e27852–e27852. 4 indexed citations
2.
Pirtskhalava, Malak, et al.. (2024). Small Natural Cyclic Peptides from DBAASP Database. Pharmaceuticals. 17(7). 845–845. 3 indexed citations
3.
Vishnepolsky, Boris, Andrei Gabrielian, Alex Rosenthal, et al.. (2023). Analysis, Modeling, and Target-Specific Predictions of Linear Peptides Inhibiting Virus Entry. ACS Omega. 8(48). 46218–46226. 3 indexed citations
4.
Vishnepolsky, Boris, Andrei Gabrielian, Alex Rosenthal, et al.. (2022). Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction. Briefings in Bioinformatics. 23(4). 26 indexed citations
5.
Pirtskhalava, Malak, et al.. (2021). Physicochemical Features and Peculiarities of Interaction of AMP with the Membrane. Pharmaceuticals. 14(5). 471–471. 79 indexed citations
6.
Pirtskhalava, Malak, Boris Vishnepolsky, Andrei Gabrielian, et al.. (2020). DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics. Nucleic Acids Research. 49(D1). D288–D297. 390 indexed citations breakdown →
7.
Vishnepolsky, Boris, et al.. (2019). Development of the model of in silico design of AMPs active against Staphylococcus aureus 25923. 6359–6359. 2 indexed citations
8.
Vishnepolsky, Boris, Andrei Gabrielian, Alex Rosenthal, et al.. (2019). De Novo Design and In Vitro Testing of Antimicrobial Peptides against Gram-Negative Bacteria. Pharmaceuticals. 12(2). 82–82. 48 indexed citations
10.
Vishnepolsky, Boris, Alex Rosenthal, Darrell E. Hurt, et al.. (2018). Predictive Model of Linear Antimicrobial Peptides Active against Gram-Negative Bacteria. Journal of Chemical Information and Modeling. 58(5). 1141–1151. 60 indexed citations
11.
Pirtskhalava, Malak, Andrei Gabrielian, Phillip Cruz, et al.. (2015). DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides. Nucleic Acids Research. 44(D1). D1104–D1112. 180 indexed citations
12.
Vishnepolsky, Boris & Malak Pirtskhalava. (2014). Prediction of Linear Cationic Antimicrobial Peptides Based on Characteristics Responsible for Their Interaction with the Membranes. Journal of Chemical Information and Modeling. 54(5). 1512–1523. 57 indexed citations
13.
Vishnepolsky, Boris, et al.. (2014). dbaasp: database of antimicrobial activity and structure of peptides. FEMS Microbiology Letters. 357(1). 63–68. 95 indexed citations
14.
Vishnepolsky, Boris, et al.. (2012). Evaluation performance of substitution matrices, based on contacts between residue terminal groups. Journal of Biomolecular Structure and Dynamics. 30(2). 180–190.
15.
Vishnepolsky, Boris & Malak Pirtskhalava. (2011). CONTSOR—A new knowledge‐based fold recognition potential, based on side chain orientation and contacts between residue terminal groups. Protein Science. 21(1). 134–141. 3 indexed citations
16.
Vishnepolsky, Boris & Malak Pirtskhalava. (2009). ALIGN_MTX—An optimal pairwise textual sequence alignment program, adapted for using in sequence-structure alignment. Computational Biology and Chemistry. 33(3). 235–238. 10 indexed citations
17.
Vishnepolsky, Boris, et al.. (2008). Comparison of the efficiency of evolutionary change‐based and side chain orientation‐based fold recognition potentials. Proteins Structure Function and Bioinformatics. 71(4). 1863–1878. 3 indexed citations
18.
Katsarava, Ramaz, et al.. (1991). Some physicochemical properties of biocompatible and biodegradable heterochain polymers based on L‐lysine. Acta Polymerica. 42(2-3). 95–99. 5 indexed citations
19.
Pirtskhalava, Malak, et al.. (1988). Conformational analysis of polyurea based on the ethyl ester of L-lysine. calculation of the geometry of the elements of the microstructure of the chain. Polymer Science U.S.S.R.. 30(11). 2419–2427. 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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