Bogdan Lesyng

2.1k total citations
91 papers, 1.7k citations indexed

About

Bogdan Lesyng is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Bogdan Lesyng has authored 91 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 24 papers in Atomic and Molecular Physics, and Optics and 21 papers in Organic Chemistry. Recurrent topics in Bogdan Lesyng's work include DNA and Nucleic Acid Chemistry (28 papers), Protein Structure and Dynamics (22 papers) and Spectroscopy and Quantum Chemical Studies (18 papers). Bogdan Lesyng is often cited by papers focused on DNA and Nucleic Acid Chemistry (28 papers), Protein Structure and Dynamics (22 papers) and Spectroscopy and Quantum Chemical Studies (18 papers). Bogdan Lesyng collaborates with scholars based in Poland, United States and Germany. Bogdan Lesyng's co-authors include J. Andrew McCammon, Piotr Bała, Wolfram Saenger, Witold R. Rudnicki, Maciej Geller, K.L. Wierzchowski, John J. Tanner, Andrew Pohorille, Ryszard Czermiński and Juergen Koehler and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Bogdan Lesyng

87 papers receiving 1.6k citations

Peers

Bogdan Lesyng

AMPO

PTC

Jordi Villà‐Freixa Spain

Stanley K. Burt United States

Valentin Gogonea United States

Roland H. Stote France

Ivan Rossi Italy

André H. Juffer Finland

Esther Nachliel Israel

Hideaki Umeyama Japan

Surjit B. Dixit United States

Annick Dejaegere France

Jordi Villà‐Freixa Spain

Bogdan Lesyng

1.0k ×1.2

632 ×1.0

AMPO

197 ×0.6

PTC

312 ×1.2

361 ×1.6

Citations per year, relative to Bogdan Lesyng Bogdan Lesyng (= 1×) peers Jordi Villà‐Freixa

Countries citing papers authored by Bogdan Lesyng

Since Specialization

Citations

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

Fields of papers citing papers by Bogdan Lesyng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Lesyng

This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Lesyng. A scholar is included among the top collaborators of Bogdan Lesyng 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 Bogdan Lesyng. Bogdan Lesyng 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

Brodaczewska, Klaudia, Roksana Iwanicka‐Nowicka, Marta Koblowska, et al.. (2025). Hypoxia alters the response of ovarian cancer cells to the mitomycin C drug. Frontiers in Cell and Developmental Biology. 13. 1575134–1575134. 1 indexed citations

Lesyng, Bogdan, et al.. (2023). Granger causality based on vector time series and quaternion algebra with possible applications to molecular dynamics data analysis. Physical review. E. 108(5). 55311–55311.

Lesyng, Bogdan, et al.. (2021). DAMA: a method for computing multiple alignments of protein structures using local structure descriptors. Bioinformatics. 38(1). 80–85. 3 indexed citations

Krzyśko, Krystiana A., et al.. (2021). Structural characterisation of inhibitory and non-inhibitory MMP-9–TIMP-1 complexes and implications for regulatory mechanisms of MMP-9. Scientific Reports. 11(1). 13376–13376. 24 indexed citations

Wcisło, Gabriel, Anna M. Czarnecka, Sławomir Lewicki, et al.. (2018). Surface markers of cancer stem-like cells of ovarian cancer and their clinical relevance. Współczesna Onkologia. 2018(1). 48–55. 48 indexed citations

Lesyng, Bogdan, et al.. (2016). Cinnamic Acid Derivatives as Inhibitors of Oncogenic Protein Kinases – Structure, Mechanisms and Biomedical Effects#. Current Medicinal Chemistry. 23(10). 954–982. 24 indexed citations

Wilczyński, Bartek, et al.. (2015). WeBIAS: a web server for publishing bioinformatics applications. BMC Research Notes. 8(1). 628–628. 3 indexed citations

Gawinkowski, Sylwester, Alexander Vdovin, Alkwin Slenczka, et al.. (2012). Vibrations and hydrogen bonding in porphycene. Physical Chemistry Chemical Physics. 14(16). 5489–5489. 38 indexed citations

Ahmed, Ahmed A., Juliet Goldsmith, Izabela Fokt, et al.. (2011). A genistein derivative, ITB-301, induces microtubule depolymerization and mitotic arrest in multidrug-resistant ovarian cancer. Cancer Chemotherapy and Pharmacology. 68(4). 1033–1044. 17 indexed citations

10.

Ahmed, Ahmed, Izabela Fokt, Krystiana A. Krzyśko, et al.. (2009). Abstract #5559: Unsaturated glycoside of genistein induces severe microtubule depolymerization and mitotic arrest in ovarian cancer cells. Cancer Research. 69. 5559–5559. 1 indexed citations

11.

Kowalska‐Loth, Barbara, et al.. (2007). RRM Proteins Interacting with the Cap Region of Topoisomerase I. Journal of Molecular Biology. 369(4). 1098–1112. 14 indexed citations

12.

Fogtman, Anna, Jacek Leluk, & Bogdan Lesyng. (2006). β-spectrin consensus sequence construction with variable threshold parameters; verification of usefulness.. Bio-Algorithms and Med-Systems. 1. 117–120. 4 indexed citations

13.

Lampidis, Théodore J., Metin Kurtoğlu, Johnathan C. Maher, et al.. (2006). Efficacy of 2-halogen substituted d-glucose analogs in blocking glycolysis and killing “hypoxic tumor cells”. Cancer Chemotherapy and Pharmacology. 58(6). 725–734. 68 indexed citations

14.

Lesyng, Bogdan, et al.. (2003). SCC DFT-TB energy calculations of the phosphoryl transfer reaction in the PKA active site. Cellular & Molecular Biology Letters. 8. 1 indexed citations

15.

Bała, Piotr, et al.. (2000). Quantum-Dynamical Picture of a Multistep Enzymatic Process: Reaction Catalyzed by Phospholipase A2. Biophysical Journal. 79(3). 1253–1262. 31 indexed citations

16.

Rudnicki, Witold R., et al.. (2000). A Mezoscopic Model of Nucleic Acids. Part 1. Lagrangian and Quaternion Molecular Dynamics. Journal of Biomolecular Structure and Dynamics. 17(6). 1097–1108. 11 indexed citations

17.

Miller, Mark Steven, B. Zbar, Krzysztof Ginalski, & Bogdan Lesyng. (1998). Structural basis of oncogenesis caused by point mutations in the kinase domain of the MET proto-oncogene. Cellular & Molecular Biology Letters. 3(3).

18.

Lesyng, Bogdan, et al.. (1998). Theoretical density functional studies of tautomeric and conformational forms of N-4-hydroxycytosine and its 5-fluoro and 5-methyl derivatives. Polish Journal of Chemistry. 72(7). 1792–1797. 8 indexed citations

19.

Rudnicki, Witold R., Bogdan Lesyng, & Stephen C. Harvey. (1994). Lagrangian molecular dynamics using selected conformational degrees of freedom, with application to the pseudorotation dynamics of furanose rings. Biopolymers. 34(3). 383–392. 12 indexed citations

20.

Geller, Maciej, et al.. (1990). Dynamic properties of the first enzymatic reaction steps of porcine pancreatic elastase. How rigid is the active site of the native enzyme? Molecular dynamics simulation. Biopolymers. 30(7-8). 781–796. 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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