Igor Štagljar

10.2k citations
129 papers · 5.9k indexed · h-index 43

Impact in

    • Biotin and Related Studies
    • Cellular transport and secretion
    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways

Papers in

    • Biotin and Related Studies 16
    • Cellular transport and secretion 12
    • Fungal and yeast genetics research 37
    • Bioinformatics and Genomic Networks 26
    • Ubiquitin and proteasome pathways 17
    • DNA Repair Mechanisms 14
    • Receptor Mechanisms and Signaling 10
    • RNA and protein synthesis mechanisms 9

Igor Štagljar

129 papers receiving 5.8k citations

Peers

Igor Štagljar
Comparison fields: 5 of 126
  • Cell Biology 1.1k
  • Molecular Biology 4.7k
  • Aging 64
  • Physiology 117
  • Cellular and Molecular Neuroscience 370
Replace Michael Boyce with:
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Igor Štagljar relative to Michael Boyce United States Michael Boyce's profile →
Citations per field
00.5×1.5×
Michael Boyce · 1×
Citations per year

Countries citing papers authored by Igor Štagljar

Since Specialization
Citations

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

Fields of papers citing papers by Igor Štagljar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Igor Štagljar, 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 Igor Štagljar Line = papers co-authored together Igor Štagljar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20246
4 20231
5 20225
6 202029
7 201813
8 201735
9 201366
10 2010104
11 20092
12 2009143
13 200819
14 200888
15 200720
16 2005202
17 200462
18 200331
19 200249
20 19955

About Igor Štagljar

Igor Štagljar is a scholar working on Cell Biology, Molecular Biology, Physiology, Oncology and Cellular and Molecular Neuroscience, having authored 129 papers that have together received 5.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (37 papers), Bioinformatics and Genomic Networks (26 papers), Ubiquitin and proteasome pathways (17 papers), Biotin and Related Studies (16 papers), DNA Repair Mechanisms (14 papers), Cellular transport and secretion (12 papers), Receptor Mechanisms and Signaling (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (4.7k citations), Aging (64 citations), Physiology (117 citations) and Cellular and Molecular Neuroscience (370 citations). Igor Štagljar has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Stephan te Heesen, Jamie Snider, Chantal Korostensky, Nils Johnsson, Saranya Kittanakom, Safia Thaminy, Daniel Auerbach, Victoria Wong, Markus Aebi and John P. Miller. Their work appears in journals such as Nature Communications, BioTechniques, Journal of Molecular Biology, Journal of Cell Science and Molecular Systems Biology.

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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