Anna Konopka

1.1k total citations
32 papers, 666 citations indexed

About

Anna Konopka is a scholar working on Molecular Biology, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Anna Konopka has authored 32 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Condensed Matter Physics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Anna Konopka's work include Physics of Superconductivity and Magnetism (11 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Copper Interconnects and Reliability (4 papers). Anna Konopka is often cited by papers focused on Physics of Superconductivity and Magnetism (11 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Copper Interconnects and Reliability (4 papers). Anna Konopka collaborates with scholars based in Poland, Australia and Germany. Anna Konopka's co-authors include Julie D. Atkin, Grzegorz M. Wilczyński, Daisuke Ito, Manal A. Farg, Kai Y. Soo, Joanna Dzwonek, Roman Sobolewski, Evgeni Ponimaskin, Wiesława Grajkowska and Marcin Roszkowski and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Anna Konopka

30 papers receiving 662 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 Konopka Poland 15 306 175 123 119 101 32 666
Sonja Jacob Germany 9 184 0.6× 67 0.4× 125 1.0× 284 2.4× 43 0.4× 10 754
Domenico Bucci Italy 16 288 0.9× 124 0.7× 332 2.7× 76 0.6× 30 0.3× 38 794
Jian Mao China 16 507 1.7× 53 0.3× 39 0.3× 146 1.2× 43 0.4× 37 790
Jérémie Dalous France 14 189 0.6× 22 0.1× 54 0.4× 200 1.7× 115 1.1× 15 696
Jaerak Chang South Korea 18 371 1.2× 133 0.8× 253 2.1× 447 3.8× 67 0.7× 38 1.1k
Meng‐meng Fu United States 13 678 2.2× 123 0.7× 345 2.8× 621 5.2× 32 0.3× 19 1.4k
Luke Kaplan United States 7 187 0.6× 79 0.5× 121 1.0× 71 0.6× 14 0.1× 9 606
Zhaohuai Yang United States 9 531 1.7× 53 0.3× 216 1.8× 624 5.2× 24 0.2× 10 909
Patrizia Casalbore Italy 21 632 2.1× 98 0.6× 345 2.8× 85 0.7× 196 1.9× 41 1.3k
Jacob M. Kowalewski Sweden 13 246 0.8× 31 0.2× 146 1.2× 92 0.8× 9 0.1× 19 587

Countries citing papers authored by Anna Konopka

Since Specialization
Citations

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

Fields of papers citing papers by Anna Konopka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Konopka

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Konopka. A scholar is included among the top collaborators of Anna Konopka 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 Konopka. Anna Konopka 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.
Chew, Yee Lian, et al.. (2024). DNA Damage and Chromatin Rearrangement Work Together to Promote Neurodegeneration. Molecular Neurobiology. 62(1). 1282–1290. 3 indexed citations
2.
Konopka, Anna & Julie D. Atkin. (2022). The Role of DNA Damage in Neural Plasticity in Physiology and Neurodegeneration. Frontiers in Cellular Neuroscience. 16. 836885–836885. 35 indexed citations
3.
Konopka, Anna & Julie D. Atkin. (2022). DNA Damage, Defective DNA Repair, and Neurodegeneration in Amyotrophic Lateral Sclerosis. Frontiers in Aging Neuroscience. 14. 786420–786420. 28 indexed citations
4.
Parakh, Sonam, Emma R. Perri, Marta Vidal, et al.. (2021). Protein disulphide isomerase (PDI) is protective against amyotrophic lateral sclerosis (ALS)-related mutant Fused in Sarcoma (FUS) in in vitro models. Scientific Reports. 11(1). 17557–17557. 8 indexed citations
5.
Parakh, Sonam, Cyril J. Jagaraj, Marta Vidal, et al.. (2018). ERp57 is protective against mutant SOD1-induced cellular pathology in amyotrophic lateral sclerosis. Human Molecular Genetics. 27(8). 1311–1331. 29 indexed citations
6.
Shahheydari, Hamideh, Audrey Ragagnin, Adam K. Walker, et al.. (2017). Protein Quality Control and the Amyotrophic Lateral Sclerosis/Frontotemporal Dementia Continuum. Frontiers in Molecular Neuroscience. 10. 119–119. 47 indexed citations
7.
Farg, Manal A., Anna Konopka, Kai Y. Soo, Daisuke Ito, & Julie D. Atkin. (2017). The DNA damage response (DDR) is induced by the C9orf72 repeat expansion in amyotrophic lateral sclerosis. Human Molecular Genetics. 26(15). 2882–2896. 120 indexed citations
8.
Konopka, Anna, Wiesława Grajkowska, Marcin Roszkowski, et al.. (2016). Epigenetics of Epileptogenesis-Evoked Upregulation of Matrix Metalloproteinase-9 in Hippocampus. PLoS ONE. 11(8). e0159745–e0159745. 29 indexed citations
9.
Wójtowicz, Tomasz, Anna Konopka, Adam Gorlewicz, et al.. (2016). CD44: a novel synaptic cell adhesion molecule regulating structural and functional plasticity of dendritic spines. Molecular Biology of the Cell. 27(25). 4055–4066. 58 indexed citations
10.
Konopka, Anna, André Zeug, Beata Kaza, et al.. (2016). Cleavage of Hyaluronan and CD44 Adhesion Molecule Regulate Astrocyte Morphology via Rac1 Signalling. PLoS ONE. 11(5). e0155053–e0155053. 53 indexed citations
11.
Konopka, Anna, Paweł Trzaskoma, Josephine Labus, et al.. (2014). CD44 regulates dendrite morphogenesis through Src tyrosine kinase-dependent positioning of the Golgi apparatus. Journal of Cell Science. 127(Pt 23). 5038–51. 34 indexed citations
12.
Konopka, Anna, et al.. (2014). DP-b99 Modulates Matrix Metalloproteinase Activity and Neuronal Plasticity. PLoS ONE. 9(6). e99789–e99789. 16 indexed citations
13.
Konopka, Anna, Paweł Trzaskoma, Josephine Labus, et al.. (2014). CD44 regulates dendrite morphogenesis through Src tyrosine kinase-dependent positioning of the Golgi. Development. 141(24). e2407–e2407. 10 indexed citations
14.
Konopka, Anna, et al.. (2012). The role of extracellular proteolysis in synaptic plasticity of the central nervous system. Postępy Higieny i Medycyny Doświadczalnej. 66. 959–975. 10 indexed citations
15.
Konopka, Anna, Wiesława Grajkowska, Marcin Roszkowski, et al.. (2012). Matrix metalloproteinase-9 (MMP-9) in human intractable epilepsy caused by focal cortical dysplasia. Epilepsy Research. 104(1-2). 45–58. 57 indexed citations
16.
Konopka, Anna & Jerzy Samochowiec. (2009). Zespół alienacji rodzicielskiej - co powinien wiedzieć profesjonalista. Psychiatria. 6(3). 103–110.
17.
Sobolewski, Roman, et al.. (2003). Microwave detectors based on granular high-T/sub c/ thin films. IEEE MTT-S International Microwave Symposium digest. ?28. 635–638.
18.
Wolff, I., et al.. (2002). Measurement of frequency above 100 GHz with high-Tc Josephson junction array. 3. 675–679. 1 indexed citations
19.
Konopka, Anna, S. J. Lewandowski, P. Mikheenko, & R. Monaco. (1996). Equilibrium states in multijunction superconducting quantum interferometers. Journal of Applied Physics. 79(10). 7871–7876. 3 indexed citations
20.
Sobolewski, Roman, G. Jung, W. Kula, et al.. (1990). Microwave detectors based on granular high-T/sub c/ thin films. IEEE Transactions on Microwave Theory and Techniques. 38(2). 160–165. 14 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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