Aleksander Jankowski

1.7k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Aleksander Jankowski is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Aleksander Jankowski has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Artificial Intelligence. Recurrent topics in Aleksander Jankowski's work include Genomics and Chromatin Dynamics (11 papers), Chromosomal and Genetic Variations (4 papers) and RNA and protein synthesis mechanisms (4 papers). Aleksander Jankowski is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Chromosomal and Genetic Variations (4 papers) and RNA and protein synthesis mechanisms (4 papers). Aleksander Jankowski collaborates with scholars based in Poland, Germany and Singapore. Aleksander Jankowski's co-authors include Witold R. Rudnicki, Miron B. Kursa, Eileen E. M. Furlong, Rebecca R. Viales, Yad Ghavi-Helm, Sascha Meiers, Jan O. Korbel, Shyam Prabhakar, Ralf Jauch and Jerzy Tiuryn and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Aleksander Jankowski

15 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Boruta – A System for Feature Selection

2010 566 citations Miron B. Kursa, Aleksander Jankowski et al. Fundamenta Informaticae profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksander Jankowski Poland	11	513	162	127	100	82	15	1.0k
Sumanta Basu India	18	372 0.7×	112 0.7×	75 0.6×	64 0.6×	34 0.4×	64	1.1k
Johnny Park United States	17	407 0.8×	218 1.3×	89 0.7×	39 0.4×	70 0.9×	37	1.1k
J. T. Gene Hwang United States	19	469 0.9×	132 0.8×	268 2.1×	186 1.9×	89 1.1×	49	1.8k
Xiaoling Xia China	19	289 0.6×	120 0.7×	170 1.3×	33 0.3×	34 0.4×	84	1.2k
Wenwen Qi China	21	464 0.9×	152 0.9×	63 0.5×	40 0.4×	50 0.6×	78	1.4k
Samantha Riccadonna Italy	15	332 0.6×	157 1.0×	149 1.2×	29 0.3×	19 0.2×	24	1.0k
Ge Jin United States	27	327 0.6×	63 0.4×	150 1.2×	23 0.2×	67 0.8×	145	2.4k
Changjun Zhu China	21	1.1k 2.2×	206 1.3×	48 0.4×	87 0.9×	57 0.7×	108	1.8k
Christopher P. Saunders United States	15	381 0.7×	75 0.5×	109 0.9×	121 1.2×	31 0.4×	40	1.1k

Countries citing papers authored by Aleksander Jankowski

Since Specialization

Citations

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

Fields of papers citing papers by Aleksander Jankowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Jankowski

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

All Works

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15 of 15 papers shown

Ochocka, Natalia, et al.. (2024). Tracking changes in functionality and morphology of repopulated microglia in young and old mice. Journal of Neuroinflammation. 21(1). 248–248. 5 indexed citations

Cousin, Pascal, et al.. (2024). Systematic screening of enhancer-blocking insulators in Drosophila identifies their DNA sequence determinants. Developmental Cell. 60(4). 630–645.e9. 1 indexed citations

Pollex, Tim, Adam Rabinowitz, Maria Cristina Gambetta, et al.. (2024). Enhancer–promoter interactions become more instructive in the transition from cell-fate specification to tissue differentiation. Nature Genetics. 56(4). 686–696. 24 indexed citations

Mohana, Giriram, Julien Dorier, Xiao Li, et al.. (2023). Chromosome-level organization of the regulatory genome in the Drosophila nervous system. Cell. 186(18). 3826–3844.e26. 40 indexed citations

Pollex, Tim, Raquel Marco-Ferreres, Lucia Ciglar, et al.. (2023). Chromatin gene-gene loops support the cross-regulation of genes with related function. Molecular Cell. 84(5). 822–838.e8. 16 indexed citations

Sowińska‐Seidler, Anna, Ewelina Bukowska‐Olech, Aleksander Jankowski, et al.. (2022). The pZRS non-coding regulatory mutation resulting in triphalangeal thumb–polysyndactyly syndrome changes the pattern of local interactions. Molecular Genetics and Genomics. 297(5). 1343–1352. 2 indexed citations

Ghavi-Helm, Yad, Aleksander Jankowski, Sascha Meiers, et al.. (2019). Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression. Nature Genetics. 51(8). 1272–1282. 227 indexed citations

Wang, Xuecong, Yogesh Srivastava, Aleksander Jankowski, et al.. (2018). DNA-mediated dimerization on a compact sequence signature controls enhancer engagement and regulation by FOXA1. Nucleic Acids Research. 46(11). 5470–5486. 15 indexed citations

Jankowski, Aleksander, Jerzy Tiuryn, & Shyam Prabhakar. (2016). Romulus: robust multi-state identification of transcription factor binding sites from DNase-seq data. Bioinformatics. 32(16). 2419–2426. 15 indexed citations

10.

Jankowski, Aleksander, et al.. (2015). Enhanceosome transcription factors preferentially dimerize with high mobility group proteins. BMC Systems Biology. 10(1). 14–14. 1 indexed citations

11.

Jankowski, Aleksander, et al.. (2015). SOXE transcription factors form selective dimers on non-compact DNA motifs through multifaceted interactions between dimerization and high-mobility group domains. Scientific Reports. 5(1). 10398–10398. 64 indexed citations

12.

Jankowski, Aleksander, Shyam Prabhakar, & Jerzy Tiuryn. (2014). TACO: a general-purpose tool for predicting cell-type–specific transcription factor dimers. BMC Genomics. 15(1). 208–208. 24 indexed citations

13.

Jankowski, Aleksander, Ewa Szczurek, Ralf Jauch, Jerzy Tiuryn, & Shyam Prabhakar. (2013). Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers. Genome Research. 23(8). 1307–1318. 29 indexed citations

14.

Kursa, Miron B., Aleksander Jankowski, & Witold R. Rudnicki. (2010). Boruta – A System for Feature Selection. Fundamenta Informaticae. 101(4). 271–285. 566 indexed citations breakdown →

15.

Rudnicki, Witold R., et al.. (2009). The new SIMD Implementation of the Smith-Waterman Algorithm on Cell Microprocessor. Fundamenta Informaticae. 96(1-2). 181–194. 10 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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