D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Molecular Biology D-index 57 Citations 9,827 147 World Ranking 1483 National Ranking 46

Overview

What is he best known for?

The fields of study Igor Stagljar is best known for:

  • Gene
  • Enzyme
  • DNA

Igor Stagljar has begun a study into Yeast, looking into Saccharomyces cerevisiae and Two-hybrid screening. With his scientific publications, his incorporates both Saccharomyces cerevisiae and Yeast. In his works, he conducts interdisciplinary research on Gene and Signal transduction. In his research, he undertakes multidisciplinary study on Signal transduction and Gene. He merges many fields, such as Genetics and Genome, in his writings. His study ties his expertise on Endoplasmic reticulum together with the subject of Biochemistry. His research on Endoplasmic reticulum frequently links to adjacent areas such as Biochemistry. He conducts interdisciplinary study in the fields of Computational biology and Systems biology through his works. Igor Stagljar integrates Systems biology and Computational biology in his research.

His most cited work include:

  • A global genetic interaction network maps a wiring diagram of cellular function (887 citations)
  • A genetic system based on split-ubiquitin for the analysis of interactions between membrane proteins in vivo (557 citations)
  • Large-scale identification of yeast integral membrane protein interactions (269 citations)

What are the main themes of his work throughout his whole career to date

Igor Stagljar is investigating Yeast as part of his inquiry into Saccharomyces cerevisiae and Two-hybrid screening. Igor Stagljar merges many fields, such as Saccharomyces cerevisiae and Yeast, in his writings. He combines Gene and Proteomics in his research. His Cell biology study frequently intersects with other fields, such as Signal transduction. His research on Signal transduction often connects related topics like Cell biology. His multidisciplinary approach integrates Biochemistry and Enzyme in his work. He undertakes interdisciplinary study in the fields of Genetics and DNA through his research. Igor Stagljar integrates Computational biology with Genetics in his study. He carries out multidisciplinary research, doing studies in Protein–protein interaction and Two-hybrid screening.

Igor Stagljar most often published in these fields:

  • Gene (78.81%)
  • Cell biology (64.41%)
  • Biochemistry (55.08%)

What were the highlights of his more recent work (between 2018-2022)?

  • Computational biology (84.62%)
  • Gene (61.54%)
  • Genetics (61.54%)

In recent works Igor Stagljar was focusing on the following fields of study:

In his research, Igor Stagljar performs multidisciplinary study on Computational biology and Systems biology. He performs multidisciplinary study on Systems biology and Computational biology in his works. The study of Gene is intertwined with the study of Interaction network in a number of ways. Igor Stagljar integrates Genetics with Mutant in his study. He performs integrative Mutant and Mutation research in his work. Igor Stagljar performs multidisciplinary study on Mutation and Phenotype in his works. Many of his studies on Cell biology involve topics that are commonly interrelated, such as Receptor tyrosine kinase. His Receptor Protein-Tyrosine Kinases research extends to the thematically linked field of Receptor tyrosine kinase. Receptor Protein-Tyrosine Kinases is closely attributed to Tyrosine kinase in his research.

Between 2018 and 2022, his most popular works were:

  • Receptor tyrosine kinases and cancer: oncogenic mechanisms and therapeutic approaches (42 citations)
  • A homogeneous split-luciferase assay for rapid and sensitive detection of anti-SARS CoV-2 antibodies (33 citations)
  • Extensive rewiring of the EGFR network in colorectal cancer cells expressing transforming levels of KRASG13D (32 citations)

In his most recent research, the most cited works focused on:

  • Gene
  • Antibody
  • Cancer

His research ties Interaction network and Genetics together. Interaction network is closely attributed to Gene in his study. Igor Stagljar performs integrative study on Gene and Function (biology) in his works. Many of his studies on Function (biology) involve topics that are commonly interrelated, such as Genetics. Igor Stagljar applies his multidisciplinary studies on Computational biology and Bioinformatics in his research. He performs integrative study on Bioinformatics and Computational biology in his works. Cancer research and Cancer are two areas of study in which Igor Stagljar engages in interdisciplinary research. He integrates Cancer with Epidermal growth factor receptor in his research. Igor Stagljar performs multidisciplinary studies into Epidermal growth factor receptor and KRAS in his work.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A global genetic interaction network maps a wiring diagram of cellular function

Michael Costanzo;Benjamin VanderSluis;Elizabeth N. Koch;Anastasia Baryshnikova.
Science (2016)

949 Citations

A genetic system based on split-ubiquitin for the analysis of interactions between membrane proteins in vivo

Igor Stagljar;Chantal Korostensky;Nils Johnsson;Stephan te Heesen.
Proceedings of the National Academy of Sciences of the United States of America (1998)

833 Citations

Large-scale identification of yeast integral membrane protein interactions

John P. Miller;Russell S. Lo;Asa Ben-Hur;Cynthia Desmarais.
Proceedings of the National Academy of Sciences of the United States of America (2005)

341 Citations

Interaction of the type IIa Na/Pi cotransporter with PDZ proteins.

Serge M. Gisler;Igor Stagljar;Martin Traebert;Desa Bacic.
Journal of Biological Chemistry (2001)

338 Citations

Interaction landscape of membrane - protein complexes in Saccharomyces cerevisiae

Mohan Babu;James Vlasblom;Shuye Pu;Xinghua Guo.
Nature (2012)

258 Citations

Fundamentals of protein interaction network mapping

Jamie Snider;Max Kotlyar;Punit Saraon;Zhong Yao.
Molecular Systems Biology (2015)

228 Citations

SAF-B protein couples transcription and pre-mRNA splicing to SAR/MAR elements

Oliver Nayler;Wolf Strätling;Jean-Pierre Bourquin;Igor Stagljar.
Nucleic Acids Research (1998)

227 Citations

ABC Transporters in Saccharomyces cerevisiae and Their Interactors: New Technology Advances the Biology of the ABCC (MRP) Subfamily

Christian M. Paumi;Matthew Chuk;Jamie Snider;Igor Stagljar.
Microbiology and Molecular Biology Reviews (2009)

226 Citations

Chaperone Control of the Activity and Specificity of the Histone H3 Acetyltransferase Rtt109

Jeffrey Fillingham;Judith Recht;Andrea C. Silva;Bernhard Suter.
Molecular and Cellular Biology (2008)

212 Citations

Regulation of Epidermal Growth Factor Receptor Trafficking by Lysine Deacetylase HDAC6

Yonathan Lissanu Deribe;Philipp Wild;Akhila Chandrashaker;Jasna Curak.
Science Signaling (2009)

202 Citations

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