D-Index & Metrics Best Publications

D-Index & Metrics

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
Biology and Biochemistry D-index 41 Citations 6,100 193 World Ranking 15953 National Ranking 1162

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Genetics

Zoran Nikoloski mainly investigates Biochemistry, Genetics, Arabidopsis, Botany and Metabolomics. His work on Quantitative trait locus, Genomics and Secondary cell wall as part of general Genetics research is frequently linked to Genetic association and Genome-wide association study, thereby connecting diverse disciplines of science. His Arabidopsis research is multidisciplinary, incorporating perspectives in Genome, Computational biology and Functional genomics.

His Computational biology research integrates issues from Metabolomics data, Model reconstruction, Data integration and Constraint. His Botany research incorporates elements of Nutrient, Gene, Abscisic acid and Metabolism. In his research, Enzyme is intimately related to Metabolite, which falls under the overarching field of Metabolism.

His most cited work include:

  • On Modularity Clustering (856 citations)
  • PlaNet: Combined Sequence and Expression Comparisons across Plant Networks Derived from Seven Species (243 citations)
  • Metabolic Fluxes in an Illuminated Arabidopsis Rosette (199 citations)

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

His primary areas of investigation include Computational biology, Metabolomics, Biochemistry, Biological system and Systems biology. He interconnects Arabidopsis, Gene, Metabolic pathway and Gene regulatory network in the investigation of issues within Computational biology. His Arabidopsis research includes themes of In silico and Cell biology.

His Metabolomics course of study focuses on Botany and Metabolism. His Biological system research is multidisciplinary, incorporating elements of Metabolic Model and Metabolic engineering. His Metabolic network study also includes

  • Flux balance analysis that connect with fields like Fluxomics,
  • Genetics and related Primary metabolite.

He most often published in these fields:

  • Computational biology (32.71%)
  • Metabolomics (17.84%)
  • Biochemistry (16.36%)

What were the highlights of his more recent work (between 2019-2021)?

  • Computational biology (32.71%)
  • Gene (16.36%)
  • Metabolomics (17.84%)

In recent papers he was focusing on the following fields of study:

Computational biology, Gene, Metabolomics, Systems biology and Metabolic engineering are his primary areas of study. His Computational biology study integrates concerns from other disciplines, such as Metabolic network model, Support vector machine and Gene regulatory network. His work deals with themes such as Primary metabolite and Metabolism, which intersect with Gene.

His research investigates the link between Metabolomics and topics such as Botany that cross with problems in Catabolism and Catalase. His Systems biology study combines topics in areas such as Cluster analysis, Complete bipartite graph, Semantic similarity, Key and Partition. His Arabidopsis thaliana study deals with the bigger picture of Genetics.

Between 2019 and 2021, his most popular works were:

  • A Biostimulant Obtained from the Seaweed Ascophyllum nodosum Protects Arabidopsis thaliana from Severe Oxidative Stress. (11 citations)
  • Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth (10 citations)
  • Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth (10 citations)

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

  • Gene
  • Enzyme
  • Genetics

Zoran Nikoloski mostly deals with Biochemistry, Computational biology, Antioxidant, Arabidopsis thaliana and Oxidative stress. His study in the field of Metabolism, Adenosine triphosphate and Enzyme is also linked to topics like Amino acid synthesis and Uridine triphosphate. Zoran Nikoloski integrates many fields in his works, including Computational biology and Distance.

His Antioxidant study combines topics from a wide range of disciplines, such as Photosynthesis, Botany, Respiration, Colobanthus quitensis and Metabolic pathway. The Arabidopsis thaliana study combines topics in areas such as Lipidome, Genetic gain, Plant growth and Arabidopsis. His Oxidative stress study incorporates themes from Catabolism, Poaceae, Deschampsia antarctica and Metabolomics.

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

On Modularity Clustering

U. Brandes;D. Delling;M. Gaertler;R. Gorke.
IEEE Transactions on Knowledge and Data Engineering (2008)

1235 Citations

On finding graph clusterings with maximum modularity

Ulrik Brandes;Daniel Delling;Marco Gaertler;Robert Görke.
workshop on graph theoretic concepts in computer science (2007)

282 Citations

PlaNet: Combined Sequence and Expression Comparisons across Plant Networks Derived from Seven Species

Marek Mutwil;Sebastian Klie;Takayuki Tohge;Federico M Giorgi.
The Plant Cell (2011)

267 Citations

Metabolic Fluxes in an Illuminated Arabidopsis Rosette

Marek Szecowka;Robert Heise;Takayuki Tohge;Adriano Nunes-Nesi.
The Plant Cell (2013)

236 Citations

Metabolic control and regulation of the tricarboxylic acid cycle in photosynthetic and heterotrophic plant tissues.

Wagner L. Araújo;Adriano Nunes-Nesi;Zoran Nikoloski;Lee J. Sweetlove.
Plant Cell and Environment (2012)

227 Citations

Maximizing Modularity is hard

U. Brandes;D. Delling;M. Gaertler;R. Goerke.
arXiv: Data Analysis, Statistics and Probability (2006)

200 Citations

Integrative Comparative Analyses of Transcript and Metabolite Profiles from Pepper and Tomato Ripening and Development Stages Uncovers Species-Specific Patterns of Network Regulatory Behavior

Sonia Osorio;Rob Alba;Zoran Nikoloski;Andrej Kochevenko.
Plant Physiology (2012)

168 Citations

Genome Wide Association in tomato reveals 44 candidate loci for fruit metabolic traits

Christopher Sauvage;Vincent Segura;Guillaume Bauchet;Rebecca Stevens.
Plant Physiology (2014)

165 Citations

Identification and Mode of Inheritance of Quantitative Trait Loci for Secondary Metabolite Abundance in Tomato

Saleh Alseekh;Takayuki Tohge;Regina Wendenberg;Federico Scossa.
The Plant Cell (2015)

145 Citations

Inner composition alignment for inferring directed networks from short time series.

S. Hempel;A. Koseska;J. Kurths;J. Kurths;Z. Nikoloski.
Physical Review Letters (2011)

132 Citations

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Best Scientists Citing Zoran Nikoloski

Alisdair R. Fernie

Alisdair R. Fernie

Max Planck Society

Publications: 219

Wagner L. Araújo

Wagner L. Araújo

Universidade Federal de Viçosa

Publications: 50

Mark Stitt

Mark Stitt

Max Planck Institute of Molecular Plant Physiology

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Takayuki Tohge

Takayuki Tohge

Nara Institute of Science and Technology

Publications: 48

Adriano Nunes-Nesi

Adriano Nunes-Nesi

Universidade Federal de Viçosa

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Mason A. Porter

Mason A. Porter

University of California, Los Angeles

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John E. Lunn

John E. Lunn

Max Planck Society

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Staffan Persson

Staffan Persson

University of Copenhagen

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Sonia Osorio

Sonia Osorio

University of Malaga

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Yves Gibon

Yves Gibon

University of Bordeaux

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Yves Van de Peer

Yves Van de Peer

Ghent University

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Bernd Mueller-Roeber

Bernd Mueller-Roeber

University of Potsdam

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Ronan Sulpice

Ronan Sulpice

National University of Ireland, Galway

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Joachim Kopka

Joachim Kopka

Max Planck Society

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Lothar Willmitzer

Lothar Willmitzer

Max Planck Society

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Lee J. Sweetlove

Lee J. Sweetlove

University of Oxford

Publications: 21

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