Anna Stępczyńska

1.4k total citations
9 papers, 1.2k citations indexed

About

Anna Stępczyńska is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Anna Stępczyńska has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cancer Research. Recurrent topics in Anna Stępczyńska's work include Cell death mechanisms and regulation (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and DNA Repair Mechanisms (2 papers). Anna Stępczyńska is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and DNA Repair Mechanisms (2 papers). Anna Stępczyńska collaborates with scholars based in Germany, France and United Kingdom. Anna Stępczyńska's co-authors include Klaus Schulze‐Osthoff, Christopher Stroh, Marek Łoś, Andrea Renz, Davide Ferrari, Zdenko Herceg, Zhao‐Qi Wang, Sebastian Wesselborg, K. Lenhard Rudolph and André Lechel and has published in prestigious journals such as Cell, Nature Genetics and Oncogene.

In The Last Decade

Anna Stępczyńska

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Stępczyńska Germany	7	769	281	222	156	140	9	1.2k
Kee-Ho Lee South Korea	20	855 1.1×	314 1.1×	246 1.1×	99 0.6×	200 1.4×	48	1.4k
Françoise de Longueville Belgium	13	776 1.0×	231 0.8×	316 1.4×	99 0.6×	230 1.6×	18	1.3k
Mariana S. De Lorenzo United States	19	548 0.7×	154 0.5×	329 1.5×	255 1.6×	272 1.9×	36	1.3k
Maria J. Rodríguez Colman Netherlands	16	797 1.0×	187 0.7×	281 1.3×	63 0.4×	212 1.5×	24	1.3k
Yoko Nemoto‐Sasaki Japan	18	615 0.8×	156 0.6×	149 0.7×	240 1.5×	95 0.7×	38	1.1k
Kim U. Birkenkamp Netherlands	13	979 1.3×	85 0.3×	255 1.1×	255 1.6×	235 1.7×	14	1.4k
Anne Camirand Canada	24	787 1.0×	289 1.0×	358 1.6×	64 0.4×	108 0.8×	43	1.5k
Hisashi Hisatomi Japan	19	713 0.9×	350 1.2×	171 0.8×	123 0.8×	122 0.9×	62	1.2k
Catherine Demazy Belgium	15	686 0.9×	232 0.8×	150 0.7×	116 0.7×	324 2.3×	36	1.2k

Countries citing papers authored by Anna Stępczyńska

Since Specialization

Citations

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

Fields of papers citing papers by Anna Stępczyńska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Stępczyńska

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

All Works

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9 of 9 papers shown

1.

Stępczyńska, Anna, Joost P. Schanstra, & Harald Mischak. (2016). Implementation of Ce-MS-Identified Proteome-Based Biomarker Panels in Drug Development and Patient Management. Bioanalysis. 8(5). 439–455. 10 indexed citations

2.

Frenz, Theresa, Elena Grabski, Verónica Durán, et al.. (2015). Antigen presenting cell-selective drug delivery by glycan-decorated nanocarriers. European Journal of Pharmaceutics and Biopharmaceutics. 95(Pt A). 13–17. 37 indexed citations

3.

Schaetzlein, Sonja, Zhenyu Ju, André Lechel, et al.. (2007). Exonuclease-1 Deletion Impairs DNA Damage Signaling and Prolongs Lifespan of Telomere-Dysfunctional Mice. Cell. 131(1). 190–190. 2 indexed citations

4.

Schaetzlein, Sonja, Zhenyu Ju, André Lechel, et al.. (2007). Exonuclease-1 Deletion Impairs DNA Damage Signaling and Prolongs Lifespan of Telomere-Dysfunctional Mice. Cell. 130(5). 863–877. 115 indexed citations

5.

Choudhury, Aaheli Roy, Zhenyu Ju, Meta W. Djojosubroto, et al.. (2006). Cdkn1a deletion improves stem cell function and lifespan of mice with dysfunctional telomeres without accelerating cancer formation. Nature Genetics. 39(1). 99–105. 337 indexed citations

6.

Łoś, Marek, Davide Ferrari, Anna Stępczyńska, et al.. (2002). Activation and Caspase-mediated Inhibition of PARP: A Molecular Switch between Fibroblast Necrosis and Apoptosis in Death Receptor Signaling. Molecular Biology of the Cell. 13(3). 978–988. 418 indexed citations

7.

Stępczyńska, Anna, Kirsten Lauber, Ingo H. Engels, et al.. (2001). Staurosporine and conventional anticancer drugs induce overlapping, yet distinct pathways of apoptosis and caspase activation. Oncogene. 20(10). 1193–1202. 133 indexed citations

8.

Stroh, Christopher, et al.. (2001). The emerging role of caspases in signal transduction as revealed by knock-out studies− not only apoptosis. 1(12). 51–65. 3 indexed citations

9.

Belka, Claus, Justine Rudner, Sebastian Wesselborg, et al.. (2000). Differential role of caspase-8 and BID activation during radiation- and CD95-induced apoptosis. Oncogene. 19(9). 1181–1190. 115 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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