Pawel Smialowski

2.1k total citations
27 papers, 1.2k citations indexed

About

Pawel Smialowski is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Pawel Smialowski has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Pawel Smialowski's work include Protein Structure and Dynamics (10 papers), Machine Learning in Bioinformatics (6 papers) and Enzyme Structure and Function (6 papers). Pawel Smialowski is often cited by papers focused on Protein Structure and Dynamics (10 papers), Machine Learning in Bioinformatics (6 papers) and Enzyme Structure and Function (6 papers). Pawel Smialowski collaborates with scholars based in Germany, United Kingdom and Canada. Pawel Smialowski's co-authors include Dmitrij Frishman, Tad A. Holak, Tobias Straub, Gero Doose, Phillipp Torkler, Stefanie Kaufmann, Andreas Ruepp, Goar Frishman, Florian Noack and Federico Calegari and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Pawel Smialowski

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pawel Smialowski Germany 15 1.1k 146 122 116 95 27 1.2k
Chan Aye Thu United States 8 998 0.9× 54 0.4× 163 1.3× 84 0.7× 246 2.6× 10 1.2k
Umesh Ghoshdastider Singapore 21 1.0k 1.0× 57 0.4× 62 0.5× 137 1.2× 239 2.5× 34 1.5k
András Aszódi Austria 15 694 0.6× 194 1.3× 67 0.5× 72 0.6× 51 0.5× 28 950
Victor Neduva Germany 9 1.3k 1.2× 108 0.7× 109 0.9× 72 0.6× 125 1.3× 9 1.6k
Alejandra Leo‐Macías United States 17 700 0.6× 120 0.8× 35 0.3× 41 0.4× 111 1.2× 21 1.0k
Changwook Lee South Korea 19 947 0.9× 59 0.4× 42 0.3× 76 0.7× 66 0.7× 43 1.3k
Akshay Bhinge United States 17 978 0.9× 51 0.3× 17 0.1× 97 0.8× 65 0.7× 25 1.2k
Timothy J. Ragan United Kingdom 16 854 0.8× 70 0.5× 23 0.2× 120 1.0× 134 1.4× 26 1.1k
Rubén Díaz-Avalos United States 15 1.1k 1.1× 101 0.7× 26 0.2× 86 0.7× 176 1.9× 20 1.4k
Sylvain Aumonier France 8 650 0.6× 108 0.7× 13 0.1× 84 0.7× 110 1.2× 12 958

Countries citing papers authored by Pawel Smialowski

Since Specialization
Citations

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

Fields of papers citing papers by Pawel Smialowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawel Smialowski

This figure shows the co-authorship network connecting the top 25 collaborators of Pawel Smialowski. A scholar is included among the top collaborators of Pawel Smialowski 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 Pawel Smialowski. Pawel Smialowski 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.
Malpartida, Ana Belén, Therese Riedemann, Mirjana Gušić, et al.. (2024). Direct neuronal reprogramming of NDUFS4 patient cells identifies the unfolded protein response as a novel general reprogramming hurdle. Neuron. 112(7). 1117–1132.e9. 9 indexed citations
2.
Shcherbakova, Irina, et al.. (2023). The histone H4K20 methyltransferase SUV4-20H1/KMT5B is required for multiciliated cell differentiation in Xenopus. Life Science Alliance. 6(7). e202302023–e202302023. 1 indexed citations
3.
4.
Ohlig, Stefanie, Solène Clavreul, Riccardo Bocchi, et al.. (2021). Molecular diversity of diencephalic astrocytes reveals adult astrogenesis regulated by Smad4. The EMBO Journal. 40(21). e107532–e107532. 26 indexed citations
5.
Petřík, David, Therese Riedemann, Aleksandar Janjic, et al.. (2021). Heterogeneity of neurons reprogrammed from spinal cord astrocytes by the proneural factors Ascl1 and Neurogenin2. Cell Reports. 36(3). 109409–109409. 29 indexed citations
6.
Cernilogar, Filippo M., Katharina Scheibner, Ingo Burtscher, et al.. (2019). Pre-marked chromatin and transcription factor co-binding shape the pioneering activity of Foxa2. Nucleic Acids Research. 47(17). 9069–9086. 54 indexed citations
7.
Atkinson, Sophie, Samuel Marguerat, Danny A. Bitton, et al.. (2018). Long noncoding RNA repertoire and targeting by nuclear exosome, cytoplasmic exonuclease, and RNAi in fission yeast. RNA. 24(9). 1195–1213. 44 indexed citations
8.
Sun, Bo, et al.. (2017). The Drosophila speciation factor HMR localizes to genomic insulator sites. PLoS ONE. 12(2). e0171798–e0171798. 8 indexed citations
9.
Villa, Raffaella, Tamás Schauer, Pawel Smialowski, Tobias Straub, & Peter B. Becker. (2016). PionX sites mark the X chromosome for dosage compensation. Nature. 537(7619). 244–248. 54 indexed citations
10.
Smialowski, Pawel & Philip Wong. (2016). Protein Crystallizability. Methods in molecular biology. 1415. 341–370. 4 indexed citations
11.
Pataskar, Abhijeet, Johannes Jung, Pawel Smialowski, et al.. (2015). NeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program. The EMBO Journal. 35(1). 24–45. 189 indexed citations
12.
Frishman, Goar, et al.. (2013). Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis. Nucleic Acids Research. 42(D1). D396–D400. 125 indexed citations
13.
Smialowski, Pawel, Gero Doose, Phillipp Torkler, Stefanie Kaufmann, & Dmitrij Frishman. (2012). PROSO II – a new method for protein solubility prediction. FEBS Journal. 279(12). 2192–2200. 168 indexed citations
14.
Smialowski, Pawel & Dmitrij Frishman. (2009). Protein Crystallizability. Methods in molecular biology. 609. 385–400. 6 indexed citations
15.
Wong, Philip, Sonja Althammer, Andrea Hildebrand, et al.. (2008). An evolutionary and structural characterization of mammalian protein complex organization. BMC Genomics. 9(1). 629–629. 15 indexed citations
16.
Martín-Galiano, Antonio J., Pawel Smialowski, & Dmitrij Frishman. (2007). Predicting experimental properties of integral membrane proteins by a naive Bayes approach. Proteins Structure Function and Bioinformatics. 70(4). 1243–1256. 8 indexed citations
17.
Smialowski, Pawel, Antonio J. Martín-Galiano, Jürgen Cox, & Dmitrij Frishman. (2007). Predicting Experimental Properties of Proteins from Sequence by Machine Learning Techniques. Current Protein and Peptide Science. 8(2). 121–133. 13 indexed citations
18.
Smialowski, Pawel, et al.. (2006). Protein solubility: sequence based prediction and experimental verification. Bioinformatics. 23(19). 2536–2542. 123 indexed citations
19.
Mikolajka, Aleksandra, Xiumin Yan, Grzegorz M. Popowicz, et al.. (2006). Structure of the N-terminal Domain of the FOP (FGFR1OP) Protein and Implications for its Dimerization and Centrosomal Localization. Journal of Molecular Biology. 359(4). 863–875. 35 indexed citations
20.
Smialowski, Pawel, Mahavir Singh, Aleksandra Mikolajka, et al.. (2005). NMR and mass spectrometry studies of putative interactions of cell cycle proteins pRb and CDK6 with cell differentiation proteins MyoD and ID-2. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1750(1). 48–60. 7 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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