Artur Giełdoń

1.4k citations
65 papers · 904 · h-index 19

Impact in

    • Protein Structure and Dynamics
    • Receptor Mechanisms and Signaling
    • Ionic liquids properties and applications

Papers in

    • Protein Structure and Dynamics 18
    • Receptor Mechanisms and Signaling 8
    • Ubiquitin and proteasome pathways 5
    • RNA and protein synthesis mechanisms 5
    • Enzyme Structure and Function 15

Artur Giełdoń

64 papers receiving 893 citations

Peers

Artur Giełdoń
Comparison fields: 5 of 109
  • Molecular Biology 536
  • Catalysis 54
  • Spectroscopy 89
  • Materials Chemistry 242
  • Neurology 59
Replace Esko Oksanen with:
Esko Oksanen Sweden
Tianxiao Yang China
Andrey V. Golovin Russia
Shufeng Sun China
Masato Maruyama Japan
Michelle E. Farkas United States
Matteo Tiberti Denmark
Cheng Cheng China
Serge Mazères France
Artur Giełdoń relative to Esko Oksanen Sweden Esko Oksanen's profile →
Citations per field
00.5×3.1×
Esko Oksanen · 1×
Citations per year

Countries citing papers authored by Artur Giełdoń

Since Specialization
Citations

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

Fields of papers citing papers by Artur Giełdoń

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Artur Giełdoń, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Artur Giełdoń Line = papers co-authored together Artur Giełdoń links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201647
3 201636
4 202132
5 201331
6 200531
7 201930
8 201228
9 200428
10 201726
11 201026
12 202126
13 201725
14 201924
15 201722
16 200122
17 201421
18 202021
19 200919
20 201818

About Artur Giełdoń

Artur Giełdoń is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Cell Biology and Organic Chemistry, having authored 65 papers that have together received 904 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (15 papers), Receptor Mechanisms and Signaling (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Ubiquitin and proteasome pathways (5 papers), Neuroendocrine regulation and behavior (5 papers), Peptidase Inhibition and Analysis (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (536 citations), Catalysis (54 citations), Spectroscopy (89 citations), Materials Chemistry (242 citations) and Neurology (59 citations). Artur Giełdoń has collaborated with scholars based in Poland, Germany and South Korea. Frequent co-authors include Jerzy Ciarkowski, Cezary Czaplewski, Rafał Ślusarz, Adam Liwo, Barbara Lipińska, Joanna Skórko‐Glonek, Magdalena J. Ślusarz, Dorota Żurawa‐Janicka, Adam K. Sieradzan and Paweł Krupa. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Molecular Modeling, Journal of Molecular Graphics and Modelling, Archives of Biochemistry and Biophysics and PLoS ONE.

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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