Igor Štagljar

10.4k citations
129 papers · 6.0k · 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

    • Fungal and yeast genetics research 36
    • Bioinformatics and Genomic Networks 25
    • Ubiquitin and proteasome pathways 17
    • DNA Repair Mechanisms 14
    • Receptor Mechanisms and Signaling 9
    • Genomics and Chromatin Dynamics 9
    • Biotin and Related Studies 15
    • Cellular transport and secretion 12

Igor Štagljar

129 papers receiving 5.9k citations

Peers

Igor Štagljar
Comparison fields: 5 of 124
  • Cell Biology 1.1k
  • Molecular Biology 4.5k
  • Aging 63
  • Physiology 116
  • Oncology 509
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Citations per field
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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-authors

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

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998475
2 2015205
3 2005203
4 2001193
5 1995165
6 2012150
7 2009148
8 2008147
9 2009144
10 1993136
11 2021129
12 2014117
13 2014115
14 2002106
15 2010104
16 200399
17 200599
18 200895
19 201494
20 201791

About Igor Štagljar

Igor Štagljar is a scholar working on Molecular Biology, Cell Biology, Oncology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 129 papers that have together received 6.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (36 papers), Bioinformatics and Genomic Networks (25 papers), Ubiquitin and proteasome pathways (17 papers), Biotin and Related Studies (15 papers), DNA Repair Mechanisms (14 papers), Cellular transport and secretion (12 papers), Receptor Mechanisms and Signaling (9 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (4.5k citations), Aging (63 citations), Physiology (116 citations) and Oncology (509 citations). Igor Štagljar has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Stephan te Heesen, Jamie Snider, Nils Johnsson, Chantal Korostensky, Saranya Kittanakom, Safia Thaminy, Daniel Auerbach, Victoria Wong, Markus Aebi and John P. Miller. Their work appears in journals such as Nature Communications, Journal of Molecular Biology, Journal of Cell Science, BioTechniques 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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