Mikołaj Żmudziński

1.1k total citations · 1 hit paper
9 papers, 699 citations indexed

About

Mikołaj Żmudziński is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Mikołaj Żmudziński has authored 9 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mikołaj Żmudziński's work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (3 papers) and SARS-CoV-2 detection and testing (2 papers). Mikołaj Żmudziński is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (3 papers) and SARS-CoV-2 detection and testing (2 papers). Mikołaj Żmudziński collaborates with scholars based in Poland, United States and Germany. Mikołaj Żmudziński's co-authors include Marcin Drąg, Wioletta Rut, Scott J. Snipas, Miklós Békés, Tony T. Huang, Digant Nayak, Shaun K. Olsen, Zongyang Lv, Farid El Oualid and Stephanie Patchett and has published in prestigious journals such as Scientific Reports, Science Advances and Nature Chemical Biology.

In The Last Decade

Mikołaj Żmudziński

9 papers receiving 695 citations

Hit Papers

Activity profiling and cr... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikołaj Żmudziński Poland 8 394 325 282 115 73 9 699
Haozhou Tan United States 13 427 1.1× 339 1.0× 229 0.8× 142 1.2× 47 0.6× 27 700
Weijuan Shang China 15 301 0.8× 228 0.7× 217 0.8× 137 1.2× 70 1.0× 26 704
Sarah E. St. John United States 8 639 1.6× 352 1.1× 274 1.0× 88 0.8× 108 1.5× 11 933
Justin Shields Canada 9 353 0.9× 288 0.9× 252 0.9× 107 0.9× 93 1.3× 12 743
Sven Ullrich Australia 10 470 1.2× 489 1.5× 398 1.4× 189 1.6× 33 0.5× 21 895
Tommy Szeto United States 5 683 1.7× 645 2.0× 300 1.1× 205 1.8× 72 1.0× 5 1.0k
G.N. Phillips United States 9 344 0.9× 443 1.4× 324 1.1× 135 1.2× 30 0.4× 9 695
Arif Ali China 13 297 0.8× 257 0.8× 404 1.4× 46 0.4× 69 0.9× 24 747
Tess Lamer Canada 9 353 0.9× 339 1.0× 212 0.8× 116 1.0× 34 0.5× 18 624
Yiwei Liu China 6 586 1.5× 406 1.2× 334 1.2× 110 1.0× 53 0.7× 7 963

Countries citing papers authored by Mikołaj Żmudziński

Since Specialization
Citations

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

Fields of papers citing papers by Mikołaj Żmudziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikołaj Żmudziński

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

All Works

9 of 9 papers shown
1.
Żmudziński, Mikołaj, et al.. (2023). Imaging of proteases using activity-based probes. Current Opinion in Chemical Biology. 74. 102299–102299. 8 indexed citations
2.
Żmudziński, Mikołaj, Wioletta Rut, Jarosław M. Granda, et al.. (2023). Ebselen derivatives inhibit SARS-CoV-2 replication by inhibition of its essential proteins: PLpro and Mpro proteases, and nsp14 guanine N7-methyltransferase. Scientific Reports. 13(1). 9161–9161. 25 indexed citations
3.
Arutyunova, Elena, Jimmy Lu, Muhammad Bashir Khan, et al.. (2023). SARS-CoV-2 Mpro Protease Variants of Concern Display Altered Viral Substrate and Cell Host Target Galectin-8 Processing but Retain Sensitivity toward Antivirals. ACS Central Science. 9(4). 696–708. 31 indexed citations
4.
Żmudziński, Mikołaj, et al.. (2022). Amino acid variants of SARS-CoV-2 papain-like protease have impact on drug binding. PLoS Computational Biology. 18(11). e1010667–e1010667. 7 indexed citations
5.
Talma, Michał, Wioletta Rut, Mikołaj Żmudziński, et al.. (2022). Evaluation of the anti-SARS-CoV-2 properties of essential oils and aromatic extracts. Scientific Reports. 12(1). 14230–14230. 12 indexed citations
6.
Nawrot-Hadzik, Izabela, Mikołaj Żmudziński, Adam Matkowski, et al.. (2021). Reynoutria Rhizomes as a Natural Source of SARS-CoV-2 Mpro Inhibitors–Molecular Docking and In Vitro Study. Pharmaceuticals. 14(8). 742–742. 32 indexed citations
7.
Rut, Wioletta, Katarzyna Groborz, Linlin Zhang, et al.. (2020). SARS-CoV-2 Mpro inhibitors and activity-based probes for patient-sample imaging. Nature Chemical Biology. 17(2). 222–228. 212 indexed citations
8.
Rut, Wioletta, Zongyang Lv, Mikołaj Żmudziński, et al.. (2020). Activity profiling and crystal structures of inhibitor-bound SARS-CoV-2 papain-like protease: A framework for anti–COVID-19 drug design. Science Advances. 6(42). 353 indexed citations breakdown →
9.
Rut, Wioletta, Mikołaj Żmudziński, Scott J. Snipas, et al.. (2020). Engineered unnatural ubiquitin for optimal detection of deubiquitinating enzymes. Chemical Science. 11(23). 6058–6069. 19 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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