Anna Filipek

3.5k total citations
99 papers, 2.8k citations indexed

About

Anna Filipek is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Anna Filipek has authored 99 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 17 papers in Neurology and 17 papers in Cancer Research. Recurrent topics in Anna Filipek's work include S100 Proteins and Annexins (54 papers), Heat shock proteins research (18 papers) and Protease and Inhibitor Mechanisms (14 papers). Anna Filipek is often cited by papers focused on S100 Proteins and Annexins (54 papers), Heat shock proteins research (18 papers) and Protease and Inhibitor Mechanisms (14 papers). Anna Filipek collaborates with scholars based in Poland, United States and Germany. Anna Filipek's co-authors include Jacek Kuźnicki, Wiesława Leśniak, Grażyna Niewiadomska, Urszula Wasik, Anastasiia Bohush, Beata Jastrzębska, Anna Mietelska‐Porowska, Marcin Nowotny, Urszula Wojda and Paweł Bieganowski and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Anna Filipek

99 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Filipek Poland 31 2.0k 473 392 381 316 99 2.8k
Young Soo Ahn South Korea 27 1.3k 0.6× 283 0.6× 327 0.8× 347 0.9× 229 0.7× 60 2.4k
Caoimhín G. Concannon Ireland 29 2.1k 1.0× 345 0.7× 372 0.9× 195 0.5× 243 0.8× 48 2.9k
Barbara J. Klocke United States 29 2.2k 1.1× 301 0.6× 205 0.5× 459 1.2× 191 0.6× 42 3.3k
Françoise Russo‐Marie France 33 2.5k 1.2× 423 0.9× 376 1.0× 844 2.2× 210 0.7× 74 3.7k
Jill K. Fisher United States 22 3.1k 1.5× 193 0.4× 647 1.7× 436 1.1× 190 0.6× 27 4.5k
Alexander G. Yakovlev United States 25 1.8k 0.9× 263 0.6× 210 0.5× 256 0.7× 245 0.8× 34 3.0k
Marc Germain Canada 25 2.5k 1.2× 229 0.5× 416 1.1× 253 0.7× 148 0.5× 48 3.5k
Kazuhiro Oka United States 34 1.9k 0.9× 492 1.0× 391 1.0× 449 1.2× 83 0.3× 74 3.8k
Zhixue Liu China 29 1.5k 0.8× 287 0.6× 427 1.1× 171 0.4× 155 0.5× 79 2.7k
Zixu Mao United States 34 2.0k 1.0× 371 0.8× 530 1.4× 199 0.5× 551 1.7× 61 3.8k

Countries citing papers authored by Anna Filipek

Since Specialization
Citations

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

Fields of papers citing papers by Anna Filipek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Filipek

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Filipek. A scholar is included among the top collaborators of Anna Filipek 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 Filipek. Anna Filipek 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.
Bartkowska, Katarzyna, Krzysztof Turlejski, Anna Filipek, & R Djavadian. (2025). CacyBP/SIP Protein Regulates the Length and Branching of Neuronal Processes During Cortical Development. Journal of Neurochemistry. 169(6). e70115–e70115. 1 indexed citations
2.
Leśniak, Wiesława, et al.. (2023). Involvement of CacyBP/SIP in differentiation and the immune response of HaCaT keratinocytes. Immunobiology. 228(3). 152385–152385. 3 indexed citations
3.
Filipek, Anna, et al.. (2022). Ca2+- binding proteins of the S100 family in preeclampsia. Placenta. 127. 43–51. 6 indexed citations
4.
Leśniak, Wiesława & Anna Filipek. (2022). S100A6 as a Constituent and Potential Marker of Adult and Cancer Stem Cells. Stem Cell Reviews and Reports. 18(8). 2699–2708. 7 indexed citations
5.
Bohush, Anastasiia, Grażyna Niewiadomska, Serge Weis, & Anna Filipek. (2019). HSP90 and Its Novel Co-Chaperones, SGT1 and CHP-1, in Brain of Patients with Parkinson’s Disease and Dementia with Lewy Bodies. Journal of Parkinson s Disease. 9(1). 97–107. 22 indexed citations
6.
Chou, Ruey‐Hwang, et al.. (2019). Lysozyme as the anti-proliferative agent to block the interaction between S100A6 and the RAGE V domain. PLoS ONE. 14(5). e0216427–e0216427. 31 indexed citations
7.
Filipek, Anna, et al.. (2018). Preeklampsja – choroba kobiet w ciąży. Postępy Biochemii. 64(4). 232–229. 77 indexed citations
8.
Leśniak, Wiesława, et al.. (2016). Distinct effect of CacyBP/SIP on the ERK1/2-CREB-BDNF pathway in undifferentiated and differentiated neuroblastoma NB2a cells. Neurochemistry International. 97. 65–72. 14 indexed citations
9.
Shell, Steven M., et al.. (2015). Dimerization and phosphatase activity of calcyclin‐binding protein/Siah‐1 interacting protein: the influence of oxidative stress. The FASEB Journal. 29(5). 1711–1724. 18 indexed citations
10.
Chazin, Walter, et al.. (2015). CacyBP/SIP — Structure and variety of functions. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(1). 79–85. 44 indexed citations
11.
Kasacka, Irena, et al.. (2014). S100A6 and its extracellular targets in Wharton's jelly of healthy and preeclamptic patients. Placenta. 35(6). 386–391. 13 indexed citations
12.
Bańkowski, E, et al.. (2011). Identification and localization of S100A6 in human umbilical cord. Cell Biology International. 36(1). 109–112. 5 indexed citations
13.
Bieganowski, Paweł, et al.. (2011). Nuclear translocation of Sgt1 depends on its phosphorylation state. The International Journal of Biochemistry & Cell Biology. 43(12). 1747–1753. 7 indexed citations
14.
Schneider, Gabriela & Anna Filipek. (2010). S100A6 binding protein and Siah-1 interacting protein (CacyBP/SIP): spotlight on properties and cellular function. Amino Acids. 41(4). 773–780. 41 indexed citations
15.
Filipek, Anna, Gabriela Schneider, Anna Mietelska‐Porowska, Izabela Figiel, & Grażyna Niewiadomska. (2008). Age-dependent changes in neuronal distribution of CacyBP/SIP: comparison to tubulin and the tau protein. Journal of Neural Transmission. 115(9). 1257–1264. 22 indexed citations
16.
Filipek, Anna, Wojciech Michowski, & Jacek Kuźnicki. (2007). Involvement of S100A6 (calcyclin) and its binding partners in intracellular signaling pathways. Advances in Enzyme Regulation. 48(1). 225–239. 30 indexed citations
17.
Jastrzębska, Beata & Anna Filipek. (2003). Funkcja bialek wiazacych jony Ca2+ z rodziny S100.. Postepy Biologii Komorki. 30(2). 383–397. 1 indexed citations
18.
Filipek, Anna, et al.. (1996). Characterization of chicken gizzard calcyclin and examination of its interaction with caldesmon. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 113(4). 745–752. 18 indexed citations
19.
Kuźnicki, Jacek & Anna Filipek. (1990). Calcyclin-Like Protein from Ehrlich Ascites Tumour Cells - Ca2+ -Binding Properties, Distribution and Target Protein. Advances in experimental medicine and biology. 269. 149–152. 1 indexed citations
20.
Kuźnicki, Jacek & Anna Filipek. (1988). Purification of myosin from ehrlich ascites tumour cells (phosphorylation of its light chain and heavy chain). International Journal of Biochemistry. 20(11). 1203–1209. 3 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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