Michal A. Kurowski

1.4k total citations
8 papers, 1.2k citations indexed

About

Michal A. Kurowski is a scholar working on Molecular Biology, Materials Chemistry and Surgery. According to data from OpenAlex, Michal A. Kurowski has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Surgery. Recurrent topics in Michal A. Kurowski's work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michal A. Kurowski is often cited by papers focused on Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michal A. Kurowski collaborates with scholars based in Poland, United States and Netherlands. Michal A. Kurowski's co-authors include Janusz M. Bujnicki, Ashok S. Bhagwat, Joanna M. Sasin, Marcin Feder, Jan Kosiński, Iwona A. Cymerman, Hubert Rehrauer, Hans Clevers, Roberto Faggiani and Caroline Maake and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Michal A. Kurowski

8 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
Michal A. Kurowski Poland 8 949 173 149 146 127 8 1.2k
Junzhuan Qiu United States 20 1.5k 1.6× 178 1.0× 203 1.4× 173 1.2× 67 0.5× 23 1.6k
Ottar Sundheim Norway 14 1.6k 1.7× 210 1.2× 151 1.0× 261 1.8× 74 0.6× 18 1.8k
Linda J. Wheeler United States 17 1.1k 1.1× 201 1.2× 178 1.2× 194 1.3× 52 0.4× 30 1.3k
V. Saridakis Canada 17 1000 1.1× 551 3.2× 175 1.2× 90 0.6× 95 0.7× 27 1.3k
Takashi Nakashima Japan 18 756 0.8× 139 0.8× 115 0.8× 70 0.5× 41 0.3× 53 1.0k
Bernd Meyhack Switzerland 21 1.0k 1.1× 104 0.6× 168 1.1× 84 0.6× 59 0.5× 44 1.3k
Ingrun Alseth Norway 23 1.5k 1.5× 88 0.5× 221 1.5× 181 1.2× 74 0.6× 38 1.6k
Qi Hu United States 17 1.0k 1.1× 142 0.8× 121 0.8× 65 0.4× 85 0.7× 29 1.3k
Robin A. Weinberg United States 15 802 0.8× 204 1.2× 157 1.1× 91 0.6× 67 0.5× 19 1.2k
N. LaRonde-LeBlanc United States 19 1.0k 1.1× 162 0.9× 126 0.8× 64 0.4× 163 1.3× 21 1.3k

Countries citing papers authored by Michal A. Kurowski

Since Specialization
Citations

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

Fields of papers citing papers by Michal A. Kurowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michal A. Kurowski. 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 Michal A. Kurowski. The network helps show where Michal A. Kurowski may publish in the future.

Co-authorship network of co-authors of Michal A. Kurowski

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

All Works

8 of 8 papers shown
1.
Sabates–Bellver, Jacob, Laurens G. van der Flier, Mariagrazia de Palo, et al.. (2007). Transcriptome Profile of Human Colorectal Adenomas. Molecular Cancer Research. 5(12). 1263–1275. 406 indexed citations
2.
Kosiński, Jan, Michał J. Gajda, Iwona A. Cymerman, et al.. (2005). FRankenstein becomes a cyborg: The automatic recombination and realignment of fold recognition models in CASP6. Proteins Structure Function and Bioinformatics. 61(S7). 106–113. 61 indexed citations
3.
Gajda, Michał J., Jan Kosiński, Michal A. Kurowski, et al.. (2004). Probabilistic cross‐link analysis and experiment planning for high‐throughput elucidation of protein structure. Protein Science. 13(12). 3298–3313. 14 indexed citations
4.
Sasin, Joanna M., Michal A. Kurowski, & Janusz M. Bujnicki. (2003). STRUCLA: a WWW meta-server for protein structure comparison andevolutionary classification. Bioinformatics. 19(suppl_1). i252–i254. 7 indexed citations
5.
Kurowski, Michal A., et al.. (2003). Phylogenomic identification of five new human homologs of the DNA repair enzyme AlkB. BMC Genomics. 4(1). 48–48. 174 indexed citations
6.
Kurowski, Michal A., Joanna M. Sasin, Marcin Feder, Janusz Dȩbski, & Janusz M. Bujnicki. (2003). Characterization of the cofactor-binding site in the SPOUT-fold methyltransferases by computational docking of S-adenosylmethionine to three crystal structures. BMC Bioinformatics. 4(1). 9–9. 14 indexed citations
7.
Kosiński, Jan, Iwona A. Cymerman, Marcin Feder, et al.. (2003). A ?FRankenstein's monster? approach to comparative modeling: Merging the finest fragments of Fold-Recognition models and iterative model refinement aided by 3D structure evaluation. Proteins Structure Function and Bioinformatics. 53(S6). 369–379. 136 indexed citations
8.
Kurowski, Michal A.. (2003). GeneSilico protein structure prediction meta-server. Nucleic Acids Research. 31(13). 3305–3307. 355 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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