Aleksandra Gruca

1.6k total citations
38 papers, 595 citations indexed

About

Aleksandra Gruca is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Aleksandra Gruca has authored 38 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Aleksandra Gruca's work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (9 papers) and Genomics and Phylogenetic Studies (6 papers). Aleksandra Gruca is often cited by papers focused on Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (9 papers) and Genomics and Phylogenetic Studies (6 papers). Aleksandra Gruca collaborates with scholars based in Poland, Germany and United Kingdom. Aleksandra Gruca's co-authors include Marcin Grynberg, Patryk Jarnot, Pablo Mier, Vasilis J. Promponas, Miguel A. Andrade‐Navarro, Andrey V. Kajava, Maria Anisimova, Bastiaan Star, Alex Bateman and Ole K. Tørresen and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Aleksandra Gruca

33 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksandra Gruca Poland 11 368 89 67 44 43 38 595
Hiroaki Iwata Japan 16 452 1.2× 61 0.7× 66 1.0× 26 0.6× 25 0.6× 38 796
Shantao Li United States 12 397 1.1× 63 0.7× 140 2.1× 27 0.6× 32 0.7× 14 610
Krishanpal Anamika India 14 879 2.4× 102 1.1× 117 1.7× 29 0.7× 31 0.7× 25 1.3k
Andrew M. Lynn India 16 376 1.0× 157 1.8× 26 0.4× 25 0.6× 19 0.4× 57 693
Olga V. Kalinina Germany 17 557 1.5× 54 0.6× 73 1.1× 11 0.3× 33 0.8× 75 850
Shiva Kumar India 8 670 1.8× 51 0.6× 100 1.5× 17 0.4× 14 0.3× 13 1.1k
Jiayi Yin China 20 768 2.1× 50 0.6× 56 0.8× 15 0.3× 29 0.7× 41 1.2k
Amit Kumar Banerjee India 14 390 1.1× 38 0.4× 48 0.7× 14 0.3× 26 0.6× 51 695
Mickaël Leclercq Canada 15 362 1.0× 78 0.9× 54 0.8× 31 0.7× 15 0.3× 47 664
Ioannis Iliopoulos Greece 16 1.1k 3.1× 93 1.0× 96 1.4× 40 0.9× 61 1.4× 47 1.4k

Countries citing papers authored by Aleksandra Gruca

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Gruca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Gruca

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Gruca. A scholar is included among the top collaborators of Aleksandra Gruca 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 Aleksandra Gruca. Aleksandra Gruca 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.
Przymus, Piotr, Krzysztof Rykaczewski, Adrián Martín‐Segura, et al.. (2025). Deep learning in microbiome analysis: a comprehensive review of neural network models. Frontiers in Microbiology. 15. 1516667–1516667. 9 indexed citations
2.
Jarnot, Patryk, et al.. (2024). LCRAnnotationsDB: a database of low complexity regions functional and structural annotations. BMC Genomics. 25(1). 1251–1251. 1 indexed citations
3.
Gutowska‐Owsiak, Danuta, Sébastien Moretti, Jarosław Poznański, et al.. (2022). Ni2+-Assisted Hydrolysis May Affect the Human Proteome; Filaggrin Degradation Ex Vivo as an Example of Possible Consequences. Frontiers in Molecular Biosciences. 9. 828674–828674. 5 indexed citations
4.
Jarnot, Patryk, et al.. (2022). Insights from analyses of low complexity regions with canonical methods for protein sequence comparison. Briefings in Bioinformatics. 23(5). 10 indexed citations
5.
Żyła, Joanna, Małgorzata Bach, Aleksandra Werner, et al.. (2021). Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections—Upper Silesia pilot study. Scientific Reports. 11(1). 13580–13580. 5 indexed citations
6.
Kozielski, Michał, Małgorzata Bach, Aleksandra Gruca, et al.. (2021). Screening Support System Based on Patient Survey Data—Case Study on Classification of Initial, Locally Collected COVID-19 Data. Applied Sciences. 11(22). 10790–10790. 5 indexed citations
7.
Kozielski, Michał, Aleksandra Gruca, Joanna Żyła, et al.. (2021). Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation. Bulletin of the Polish Academy of Sciences Technical Sciences. 137349–137349. 2 indexed citations
8.
Gruca, Aleksandra, et al.. (2021). Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development. BMC Bioinformatics. 22(1). 182–182. 9 indexed citations
9.
Jarnot, Patryk, László Dobson, Matthew Merski, et al.. (2020). PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins. Nucleic Acids Research. 48(W1). W77–W84. 74 indexed citations
10.
Srb, Pavel, Hana Šanderová, Libor Krásný, et al.. (2019). Quantitative Conformational Analysis of Functionally Important Electrostatic Interactions in the Intrinsically Disordered Region of Delta Subunit of Bacterial RNA Polymerase. Journal of the American Chemical Society. 141(42). 16817–16828. 10 indexed citations
11.
Mier, Pablo, Lisanna Paladin, Stella Tamana, et al.. (2019). Disentangling the complexity of low complexity proteins. Briefings in Bioinformatics. 21(2). 458–472. 71 indexed citations
12.
Gruca, Aleksandra, et al.. (2019). Man-Machine Interactions 6. Advances in intelligent systems and computing. 3 indexed citations
13.
Gruca, Aleksandra & Marek Sikora. (2017). Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets. Journal of Biomedical Semantics. 8(1). 23–23. 2 indexed citations
14.
Gawin, Marta, Anna Wojakowska, Monika Pietrowska, et al.. (2017). Proteome profiles of different types of thyroid cancers. Molecular and Cellular Endocrinology. 472. 68–79. 21 indexed citations
15.
Gruca, Aleksandra, et al.. (2017). Man-Machine Interactions 5. Advances in intelligent systems and computing. 3 indexed citations
16.
Kozielski, Michał & Aleksandra Gruca. (2014). Soft Approach to Identification of Cohesive Clusters in Two Gene Representations. Procedia Computer Science. 35. 281–289. 3 indexed citations
17.
Gruca, Aleksandra, et al.. (2013). Genistein Derivatives Regioisomerically Substituted at 7‐O‐ and 4′‐O‐ Have Different Effect on the Cell Cycle. SHILAP Revista de lepidopterología. 2013(1). 6 indexed citations
18.
Kozielski, Michał & Aleksandra Gruca. (2013). Visual comparison of clustering gene ontology with different similarity measures. Studia Informatica System and information technology. 32. 169–180. 1 indexed citations
19.
Gruca, Aleksandra, Marek Sikora, & Andrzej Polański. (2011). RuleGO: a logical rules-based tool for description of gene groups by means of Gene Ontology. Nucleic Acids Research. 39(suppl_2). W293–W301. 6 indexed citations
20.
Rusin, Aleksandra, Katarzyna Aleksandra Kujawa, Agnieszka Gogler‐Pigłowska, et al.. (2010). Synthetic conjugates of genistein affecting proliferation and mitosis of cancer cells. Bioorganic & Medicinal Chemistry. 19(1). 295–305. 44 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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