Błażej Bagiński

2.1k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Błażej Bagiński is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Błażej Bagiński has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Computational Theory and Mathematics. Recurrent topics in Błażej Bagiński's work include RNA modifications and cancer (2 papers), Redox biology and oxidative stress (2 papers) and RNA and protein synthesis mechanisms (2 papers). Błażej Bagiński is often cited by papers focused on RNA modifications and cancer (2 papers), Redox biology and oxidative stress (2 papers) and RNA and protein synthesis mechanisms (2 papers). Błażej Bagiński collaborates with scholars based in Spain, Poland and United States. Błażej Bagiński's co-authors include Pietro Boccaletto, Janusz M. Bujnicki, Tomasz Wirecki, Elżbieta Purta, Paweł Piątkowski, Annika Kötter, Magdalena A. Machnicka, Valérie de Crécy‐Lagard, Robert Ross and Patrick A. Limbach and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Computational and Structural Biotechnology Journal.

In The Last Decade

Błażej Bagiński

7 papers receiving 1.4k citations

Hit Papers

MODOMICS: a database of RNA modification pathways. 2017 u... 2017 2026 2020 2023 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Błażej Bagiński Spain 6 1.4k 507 97 73 28 7 1.4k
Paweł Piątkowski Poland 6 1.4k 1.0× 498 1.0× 98 1.0× 75 1.0× 25 0.9× 6 1.4k
Annika Kötter Germany 11 1.8k 1.3× 647 1.3× 109 1.1× 149 2.0× 27 1.0× 15 1.8k
Wesley C. Clark United States 12 2.1k 1.5× 834 1.6× 63 0.6× 103 1.4× 29 1.0× 14 2.2k
Magdalena A. Machnicka Poland 7 2.3k 1.7× 729 1.4× 132 1.4× 118 1.6× 47 1.7× 9 2.4k
Pietro Boccaletto Poland 9 2.2k 1.6× 790 1.6× 149 1.5× 142 1.9× 45 1.6× 10 2.3k
Andrea Cappannini Poland 7 808 0.6× 306 0.6× 48 0.5× 87 1.2× 17 0.6× 10 892
Sunandan Mukherjee Poland 12 1.0k 0.7× 270 0.5× 53 0.5× 62 0.8× 23 0.8× 26 1.1k
Marjorie Catala France 11 638 0.5× 189 0.4× 54 0.6× 65 0.9× 9 0.3× 22 675
Anna Olchowik Poland 2 951 0.7× 228 0.4× 35 0.4× 46 0.6× 18 0.6× 3 970
Yibin Liu China 10 821 0.6× 290 0.6× 17 0.2× 36 0.5× 28 1.0× 15 944

Countries citing papers authored by Błażej Bagiński

Since Specialization
Citations

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

Fields of papers citing papers by Błażej Bagiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Błażej Bagiński

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

All Works

7 of 7 papers shown
1.
González, Lorena, Lucía Díaz, Joan Pous, et al.. (2023). Characterization of p38α autophosphorylation inhibitors that target the non-canonical activation pathway. Nature Communications. 14(1). 3318–3318. 8 indexed citations
2.
Pous, Joan, Błażej Bagiński, Pau Martín-Malpartida, et al.. (2023). Structural basis of a redox-dependent conformational switch that regulates the stress kinase p38α. Nature Communications. 14(1). 7920–7920. 5 indexed citations
3.
Aragón, Eric, Lidia Ruíz, Błażej Bagiński, et al.. (2022). Molecular basis for DNA recognition by the maternal pioneer transcription factor FoxH1. Nature Communications. 13(1). 7279–7279. 11 indexed citations
4.
Ruíz, Lidia, Zuzanna Kaczmarska, Tiago Gomes, et al.. (2021). Unveiling the dimer/monomer propensities of Smad MH1-DNA complexes. Computational and Structural Biotechnology Journal. 19. 632–646. 8 indexed citations
5.
Aragón, Eric, Błażej Bagiński, Pau Martín-Malpartida, et al.. (2021). Structures of the germline-specific Deadhead and thioredoxin T proteins from Drosophila melanogaster reveal unique features among thioredoxins. IUCrJ. 8(2). 281–294. 4 indexed citations
6.
Boccaletto, Pietro, Marcin Magnus, Błażej Bagiński, et al.. (2017). RNArchitecture: a database and a classification system of RNA families, with a focus on structural information. Nucleic Acids Research. 46(D1). D202–D205. 27 indexed citations
7.
Boccaletto, Pietro, Magdalena A. Machnicka, Elżbieta Purta, et al.. (2017). MODOMICS: a database of RNA modification pathways. 2017 update. Nucleic Acids Research. 46(D1). D303–D307. 1363 indexed citations breakdown →

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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