Artur Giełdoń

1.3k citations
64 papers · 890 · 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
    • RNA and protein synthesis mechanisms 6
    • Ubiquitin and proteasome pathways 5
    • Enzyme Structure and Function 16

Artur Giełdoń

64 papers receiving 877 citations

Peers

Artur Giełdoń
Comparison fields: 5 of 113
  • Molecular Biology 546
  • Catalysis 54
  • Spectroscopy 89
  • Materials Chemistry 244
  • Cellular and Molecular Neuroscience 74
Replace Esko Oksanen with:
Esko Oksanen Sweden
Tianxiao Yang China
Martina Vermathen Switzerland
Andrey V. Golovin Russia
Michelle E. Farkas United States
Cheng Cheng China
Kenji Sasahara Japan
Matteo Tiberti Denmark
Hans‐Ulrich Gremlich Switzerland
Artur Giełdoń relative to Esko Oksanen Sweden Esko Oksanen's profile →
Citations per field
00.5×1.5×1.9×
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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201647
3 201636
4 202131
5 200531
6 201331
7 201228
8 201928
9 200428
10 201726
11 201026
12 202125
13 201725
14 201924
15 201722
16 200122
17 202021
18 201421
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 64 papers that have together received 890 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (16 papers), Receptor Mechanisms and Signaling (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Peptidase Inhibition and Analysis (6 papers), RNA and protein synthesis mechanisms (6 papers), Neuroendocrine regulation and behavior (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Molecular Biology (546 citations), Catalysis (54 citations), Spectroscopy (89 citations), Materials Chemistry (244 citations) and Cellular and Molecular Neuroscience (74 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, Magdalena J. Ślusarz, Joanna Skórko‐Glonek, Adam K. Sieradzan, Adam Lesner and Dorota Żurawa‐Janicka. Their work appears in journals such as Journal of Molecular Modeling, International Journal of Molecular Sciences, Journal of Molecular Graphics and Modelling, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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