Danuta Zatorska

36 total papers · 1.1k total citations
12 papers, 625 citations indexed

About

Danuta Zatorska is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Danuta Zatorska has authored 12 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Danuta Zatorska's work include Heat shock proteins research (8 papers), Enzyme Structure and Function (4 papers) and thermodynamics and calorimetric analyses (3 papers). Danuta Zatorska is often cited by papers focused on Heat shock proteins research (8 papers), Enzyme Structure and Function (4 papers) and thermodynamics and calorimetric analyses (3 papers). Danuta Zatorska collaborates with scholars based in United States. Danuta Zatorska's co-authors include Andrzej Zatorski, Kristopher M. Depew, William G. Bornmann, Gabriela Chiosis, Samuel J. Danishefsky, Stephen P. Marsden, Tony Taldone, Jason S. Lewis, Joungnam Kim and Eloisi Caldas-Lopes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

Danuta Zatorska

12 papers receiving 617 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danuta Zatorska 323 272 103 70 67 12 625
Jenny Wai 424 1.3× 227 0.8× 66 0.6× 129 1.8× 99 1.5× 18 777
Mary Pat Beavers 407 1.3× 192 0.7× 102 1.0× 62 0.9× 51 0.8× 25 726
Amin Mirza 397 1.2× 228 0.8× 37 0.4× 82 1.2× 152 2.3× 20 733
Nichola L. Davies 490 1.5× 259 1.0× 53 0.5× 91 1.3× 115 1.7× 15 678
Eugene L. Piatnitski Chekler 385 1.2× 274 1.0× 39 0.4× 65 0.9× 90 1.3× 23 658
Jill Kingery-Wood 359 1.1× 324 1.2× 60 0.6× 43 0.6× 27 0.4× 8 606
Mel C. Schroeder 415 1.3× 350 1.3× 60 0.6× 60 0.9× 45 0.7× 17 650
Adrian L. Gill 491 1.5× 220 0.8× 48 0.5× 163 2.3× 185 2.8× 31 749
Jürgen Dinges 429 1.3× 249 0.9× 40 0.4× 54 0.8× 141 2.1× 16 665
Isabelle Morize 534 1.7× 226 0.8× 44 0.4× 37 0.5× 200 3.0× 19 759

Countries citing papers authored by Danuta Zatorska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Zatorska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Zatorska

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

All Works

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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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