Katarzyna Majzner

4.4k total citations · 3 hit papers
53 papers, 3.5k citations indexed

About

Katarzyna Majzner is a scholar working on Biophysics, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Katarzyna Majzner has authored 53 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biophysics, 24 papers in Molecular Biology and 10 papers in Analytical Chemistry. Recurrent topics in Katarzyna Majzner's work include Spectroscopy Techniques in Biomedical and Chemical Research (37 papers), Spectroscopy and Chemometric Analyses (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Katarzyna Majzner is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (37 papers), Spectroscopy and Chemometric Analyses (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Katarzyna Majzner collaborates with scholars based in Poland, United Kingdom and Germany. Katarzyna Majzner's co-authors include Małgorzata Barańśka, Agnieszka Kaczor, Krzysztof Czamara, Kamila Kochan, Marta Z. Pacia, Katarzyna M. Marzec, Marta Pilarczyk, Anna Ryguła, Ewelina Szafraniec and Ewelina Wiercigroch and has published in prestigious journals such as Blood, Analytical Chemistry and Scientific Reports.

In The Last Decade

Katarzyna Majzner

49 papers receiving 3.4k citations

Hit Papers

Raman spectroscopy of pro... 2013 2026 2017 2021 2013 2014 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarzyna Majzner Poland 20 1.4k 1.2k 795 670 315 53 3.5k
Agnieszka Kaczor Poland 24 1.5k 1.0× 1.4k 1.2× 860 1.1× 588 0.9× 342 1.1× 100 4.3k
Kamila Kochan Australia 21 1.2k 0.9× 870 0.8× 753 0.9× 455 0.7× 263 0.8× 50 2.7k
Don McNaughton Australia 40 1.6k 1.1× 1.2k 1.0× 946 1.2× 674 1.0× 327 1.0× 125 4.6k
Philip Heraud Australia 40 1.8k 1.3× 1.1k 0.9× 1.2k 1.5× 676 1.0× 208 0.7× 103 4.3k
Zanyar Movasaghi United Kingdom 11 2.9k 2.0× 1.3k 1.2× 1.9k 2.4× 866 1.3× 297 0.9× 12 4.8k
Shazza Rehman United Kingdom 15 3.0k 2.1× 1.4k 1.2× 2.0k 2.5× 863 1.3× 299 0.9× 24 4.9k
Joanna Depciuch Poland 29 833 0.6× 572 0.5× 523 0.7× 563 0.8× 156 0.5× 145 2.6k
Kamilla Małek Poland 25 766 0.5× 639 0.6× 452 0.6× 443 0.7× 199 0.6× 111 2.7k
Krzysztof Czamara Poland 16 873 0.6× 625 0.5× 534 0.7× 325 0.5× 238 0.8× 35 2.2k
Franck Bonnier France 37 2.4k 1.6× 1.1k 0.9× 1.8k 2.2× 808 1.2× 162 0.5× 97 3.8k

Countries citing papers authored by Katarzyna Majzner

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Majzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Majzner

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Majzner. A scholar is included among the top collaborators of Katarzyna Majzner 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 Katarzyna Majzner. Katarzyna Majzner 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.
Orzechowska, B., et al.. (2025). The Raman Map of the Human Cell. Analytical Chemistry. 97(30). 16374–16382. 1 indexed citations
2.
Pastorczak, Agata, et al.. (2025). Exploring Biochemical Characteristics of Pediatric Hyperdiploid Acute Lymphoblastic Leukemia by Raman Spectroscopy. Analytical Chemistry. 97(19). 10319–10327. 1 indexed citations
3.
Tipping, William J., et al.. (2025). Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques. Analytical Chemistry. 97(31). 16966–16974. 1 indexed citations
4.
Barańśka, Małgorzata, et al.. (2024). Mechanisms of mitotic inhibition in human aorta endothelial cells: Molecular and morphological in vitro spectroscopic studies. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 322. 124623–124623. 1 indexed citations
5.
Pérez-Guaita, David, et al.. (2024). MitoBADY-based Raman sensing of neutrophil-like cells. Sensors and Actuators B Chemical. 422. 136539–136539. 2 indexed citations
6.
Pastorczak, Agata, et al.. (2024). Raman spectroscopy can recognize the KMT2A rearrangement as a distinct subtype of leukemia. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 314. 124173–124173. 3 indexed citations
10.
Majzner, Katarzyna, Tanja Deckert‐Gaudig, Małgorzata Barańśka, & Volker Deckert. (2024). DOX-DNA Interactions on the Nanoscale: In Situ Studies Using Tip-Enhanced Raman Scattering. Analytical Chemistry. 96(22). 8905–8913. 5 indexed citations
11.
Pastorczak, Agata, et al.. (2023). Reliable cell preparation protocol for Raman imaging to effectively differentiate normal leukocytes and leukemic blasts. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 292. 122408–122408. 9 indexed citations
12.
Orzechowska, Sylwia, et al.. (2023). Stimulated Raman scattering microscopy in the analysis of cancer cells – A review and own research. TrAC Trends in Analytical Chemistry. 169. 117366–117366. 7 indexed citations
13.
Szydłowski, Maciej, et al.. (2023). Automatic subtyping of Diffuse Large B-cell Lymphomas (DLBCL): Raman-based genetic and metabolic classification. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 309. 123795–123795. 2 indexed citations
14.
Szydłowski, Maciej, et al.. (2023). Raman Spectroscopy Imaging As a Tool to Classify Diffused Large B-Cell Lymphoma Subtypes. Blood. 142(Supplement 1). 5040–5040.
15.
Orzechowska, Sylwia, Maciej Szydłowski, Przemysław Juszczyński, et al.. (2023). 3137 – ACUTE MYLOID LEUKEMIA KEY MUTATIONS IN THE LENS OF RAMAN MICROSCOPY.. Experimental Hematology. 124. S118–S118. 1 indexed citations
16.
Czamara, Krzysztof, et al.. (2022). What is the ability of inflamed endothelium to uptake exogenous saturated fatty acids? A proof-of-concept study using spontaneous Raman, SRS and CARS microscopy. Cellular and Molecular Life Sciences. 79(12). 593–593. 10 indexed citations
17.
Mateuszuk, Łukasz, et al.. (2021). Chloroquine-Induced Accumulation of Autophagosomes and Lipids in the Endothelium. International Journal of Molecular Sciences. 22(5). 2401–2401. 26 indexed citations
18.
Jarosz, Magdalena, et al.. (2019). Tunicamycin induced endoplasmic reticulum changes in endothelial cells investigated in vitro by confocal Raman imaging. The Analyst. 144(22). 6561–6569. 15 indexed citations
19.
Majzner, Katarzyna, et al.. (2018). Uptake of fatty acids by a single endothelial cell investigated by Raman spectroscopy supported by AFM. The Analyst. 143(4). 970–980. 34 indexed citations
20.
Szafraniec, Ewelina, Ewelina Wiercigroch, Krzysztof Czamara, et al.. (2018). Diversity among endothelial cell lines revealed by Raman and Fourier-transform infrared spectroscopic imaging. The Analyst. 143(18). 4323–4334. 9 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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