Monika Szefczyk

452 total citations
19 papers, 364 citations indexed

About

Monika Szefczyk is a scholar working on Molecular Biology, Biomaterials and Physiology. According to data from OpenAlex, Monika Szefczyk has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Biomaterials and 5 papers in Physiology. Recurrent topics in Monika Szefczyk's work include Chemical Synthesis and Analysis (9 papers), Alzheimer's disease research and treatments (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Monika Szefczyk is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), Alzheimer's disease research and treatments (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). Monika Szefczyk collaborates with scholars based in Poland, France and Portugal. Monika Szefczyk's co-authors include Alexandra Guedes, André M. Pereira, João P. Araújo, Cristina Freire, Susana L.H. Rebelo, Marlena Gąsior‐Głogowska, Łukasz Berlicki, Ewa Rudzińska‐Szostak, Ewelina Węglarz‐Tomczak and Małgorzata Kotulska and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Monika Szefczyk

17 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Szefczyk Poland 7 123 103 80 76 56 19 364
Jingyu Ran China 12 138 1.1× 70 0.7× 51 0.6× 36 0.5× 102 1.8× 26 375
Huimin Han China 11 194 1.6× 110 1.1× 62 0.8× 48 0.6× 97 1.7× 27 403
Yousif Algamal Saudi Arabia 7 189 1.5× 114 1.1× 60 0.8× 48 0.6× 47 0.8× 17 352
Adina Brăgaru Romania 12 166 1.3× 126 1.2× 83 1.0× 77 1.0× 163 2.9× 57 415
Shan-Zhong Li China 11 190 1.5× 96 0.9× 49 0.6× 38 0.5× 69 1.2× 28 428
Aurélie Habert France 12 229 1.9× 115 1.1× 43 0.5× 44 0.6× 78 1.4× 14 407
Xueqi Zhao China 11 107 0.9× 50 0.5× 55 0.7× 105 1.4× 117 2.1× 17 353
Nicolas Galy France 10 166 1.3× 65 0.6× 102 1.3× 34 0.4× 115 2.1× 22 445
Liping Wu China 10 196 1.6× 148 1.4× 32 0.4× 90 1.2× 99 1.8× 22 461
Hongwei Shi China 15 212 1.7× 137 1.3× 30 0.4× 98 1.3× 91 1.6× 41 484

Countries citing papers authored by Monika Szefczyk

Since Specialization
Citations

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

Fields of papers citing papers by Monika Szefczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Szefczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Szefczyk. A scholar is included among the top collaborators of Monika Szefczyk 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 Monika Szefczyk. Monika Szefczyk 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.
Kalitnik, Aleksandra, et al.. (2025). Experimental methods for studying amyloid cross‐interactions. Protein Science. 34(6). e70151–e70151. 2 indexed citations
2.
3.
Kalitnik, Aleksandra, et al.. (2024). Cytotoxic Staphylococcus aureus PSMα3 inhibits the aggregation of human insulin in vitro. Physical Chemistry Chemical Physics. 26(21). 15587–15599. 2 indexed citations
4.
Gąsior‐Głogowska, Marlena, et al.. (2024). Boosting stability: a hierarchical approach for self-assembling peptide structures. Journal of Materials Chemistry B. 12(41). 10682–10691. 3 indexed citations
5.
Gąsior‐Głogowska, Marlena, et al.. (2024). Challenges in Peptide Solubilization – Amyloids Case Study. The Chemical Record. 24(8). e202400053–e202400053. 2 indexed citations
6.
Gąsior‐Głogowska, Marlena, Monika Szefczyk, Andrzej Żak, et al.. (2024). Structural effects of charge destabilization and amino acid substitutions in amyloid fragments of CsgA. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 313. 124094–124094.
7.
Szefczyk, Monika, Marlena Gąsior‐Głogowska, Andrzej Żak, et al.. (2023). The application of the hierarchical approach for the construction of foldameric peptide self-assembled nanostructures. Soft Matter. 19(21). 3828–3840. 4 indexed citations
8.
Rebelo, Susana L.H., César A. T. Laia, Monika Szefczyk, et al.. (2023). Hybrid Zn-β-Aminoporphyrin–Carbon Nanotubes: Pyrrolidine and Direct Covalent Linkage Recognition, and Multiple-Photo Response. Molecules. 28(21). 7438–7438. 2 indexed citations
9.
Szczurek, W., et al.. (2023). PACT - Prediction of amyloid cross-interaction by threading. Scientific Reports. 13(1). 22268–22268. 5 indexed citations
10.
Szefczyk, Monika, et al.. (2022). Controlling the conformational stability of coiled-coil peptides with a single stereogenic center of a peripheral β-amino acid residue. RSC Advances. 12(8). 4640–4647. 2 indexed citations
11.
Gąsior‐Głogowska, Marlena, et al.. (2022). Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins. PLoS Computational Biology. 18(12). e1010787–e1010787. 12 indexed citations
12.
Gąsior‐Głogowska, Marlena, et al.. (2022). Challenges in Experimental Methods. Methods in molecular biology. 2340. 281–307. 6 indexed citations
13.
Gąsior‐Głogowska, Marlena, et al.. (2021). Variability of Amyloid Propensity in Imperfect Repeats of CsgA Protein of Salmonella enterica and Escherichia coli. International Journal of Molecular Sciences. 22(10). 5127–5127. 9 indexed citations
14.
Dyrka, Witold, et al.. (2021). Searching for universal model of amyloid signaling motifs using probabilistic context-free grammars. BMC Bioinformatics. 22(1). 222–222. 2 indexed citations
15.
Szefczyk, Monika, Marlena Gąsior‐Głogowska, Anna Modrak‐Wójcik, et al.. (2021). Hierarchical approach for the rational construction of helix-containing nanofibrils using α,β-peptides. Nanoscale. 13(7). 4000–4015. 14 indexed citations
16.
Szefczyk, Monika. (2021). Peptide foldamer-based self-assembled nanostructures containing cyclic beta-amino acids. Nanoscale. 13(26). 11325–11333. 16 indexed citations
17.
Szefczyk, Monika, et al.. (2017). Controlling the Helix Handedness of ααβ‐Peptide Foldamers through Sequence Shifting. Angewandte Chemie. 129(8). 2119–2123. 3 indexed citations
18.
Szefczyk, Monika, et al.. (2017). Controlling the Helix Handedness of ααβ‐Peptide Foldamers through Sequence Shifting. Angewandte Chemie International Edition. 56(8). 2087–2091. 19 indexed citations
19.
Rebelo, Susana L.H., Alexandra Guedes, Monika Szefczyk, et al.. (2016). Progress in the Raman spectra analysis of covalently functionalized multiwalled carbon nanotubes: unraveling disorder in graphitic materials. Physical Chemistry Chemical Physics. 18(18). 12784–12796. 261 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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