H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 116 Citations 112,232 312 World Ranking 319 National Ranking 211

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Bacteria
  • Internal medicine

Curtis Huttenhower mainly focuses on Microbiome, Metagenomics, Human microbiome, Computational biology and Human Microbiome Project. His Microbiome research is multidisciplinary, incorporating elements of Immunology and Microbiology. The subject of his Metagenomics research is within the realm of Genetics.

In his research, Phylum is intimately related to Evolutionary biology, which falls under the overarching field of Human microbiome. His Computational biology research includes themes of Gene family, Shotgun sequencing, DNA sequencing and Profiling. His Human Microbiome Project research incorporates themes from Oral Microbiome and Earth Microbiome Project.

His most cited work include:

  • Structure, function and diversity of the healthy human microbiome (6128 citations)
  • Structure, function and diversity of the healthy human microbiome (6128 citations)
  • Metagenomic biomarker discovery and explanation (4909 citations)

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

His main research concerns Microbiome, Metagenomics, Computational biology, Human microbiome and Immunology. Curtis Huttenhower has researched Microbiome in several fields, including Evolutionary biology and Microbiology. His research integrates issues of Ecology, Microbial population biology, Microbial ecology, Disease and Phylogenetics in his study of Metagenomics.

His biological study deals with issues like Genome, which deal with fields such as Phylogenetic tree, Clade and Phylum. His studies in Human microbiome integrate themes in fields like Ecology and Earth Microbiome Project. His work deals with themes such as Inflammatory bowel disease and Ulcerative colitis, which intersect with Immunology.

He most often published in these fields:

  • Microbiome (73.08%)
  • Metagenomics (51.35%)
  • Computational biology (35.20%)

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

  • Microbiome (73.08%)
  • Metagenomics (51.35%)
  • Computational biology (35.20%)

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

Microbiome, Metagenomics, Computational biology, Human microbiome and Genome are his primary areas of study. His studies deal with areas such as Gastroenterology, Internal medicine, Disease, Colorectal cancer and Physiology as well as Microbiome. His work carried out in the field of Metagenomics brings together such families of science as Evolutionary biology, Dolosigranulum pigrum, Antibiotic resistance and Systems biology.

The concepts of his Computational biology study are interwoven with issues in Strain, CRISPR and Microbial population biology. His Human microbiome research is multidisciplinary, relying on both Covariate and Inflammatory bowel disease. His Genome research integrates issues from Isolation by distance and Phylogenetic tree.

Between 2019 and 2021, his most popular works were:

  • PICRUSt2 for prediction of metagenome functions. (163 citations)
  • PICRUSt2: An improved and customizable approach for metagenome inference (153 citations)
  • Global chemical effects of the microbiome include new bile-acid conjugations (62 citations)

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

  • Gene
  • Bacteria
  • Internal medicine

His primary scientific interests are in Metagenomics, Microbiome, Genome, Human microbiome and Computational biology. His Metagenomics research includes elements of Evolutionary biology, Obesity, Postprandial, Disease and Glycemic. His Microbiome study integrates concerns from other disciplines, such as Carbohydrate metabolism and Physiology.

His Genome research incorporates elements of Subspecies, Phylogeography and Population genetics. His work deals with themes such as Gastroenterology, Colectomy, Inflammatory bowel disease and Clostridiaceae, which intersect with Human microbiome. In his work, Profiling, Ruminococcus bromii and Shotgun metagenomics is strongly intertwined with Phylogenetic tree, which is a subfield of Computational biology.

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

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower;Curtis Huttenhower;Dirk Gevers;Rob Knight;Rob Knight;Sahar Abubucker.
Nature (2012)

6004 Citations

Metagenomic biomarker discovery and explanation

Nicola Segata;Jacques Izard;Levi Waldron;Dirk Gevers.
Genome Biology (2011)

5852 Citations

Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

Morgan G I Langille;Jesse Zaneveld;J Gregory Caporaso;J Gregory Caporaso;Daniel McDonald.
Nature Biotechnology (2013)

4410 Citations

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

2304 Citations

Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

2001 Citations

Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment

Xochitl C Morgan;Timothy L Tickle;Timothy L Tickle;Harry Sokol;Harry Sokol;Dirk Gevers.
Genome Biology (2012)

1964 Citations

The Treatment-Naive Microbiome in New-Onset Crohn’s Disease

Dirk Gevers;Subra Kugathasan;Lee A. Denson;Yoshiki Vázquez-Baeza.
Cell Host & Microbe (2014)

1795 Citations

A framework for human microbiome research

Barbara A. Methé;Karen E. Nelson;Mihai Pop;Heather H. Creasy.
Nature (2012)

1614 Citations

Genomic analysis identifies association of Fusobacterium with colorectal carcinoma

Aleksandar D. Kostic;Dirk Gevers;Chandra Sekhar Pedamallu;Chandra Sekhar Pedamallu;Monia Michaud.
Genome Research (2012)

1392 Citations

Metagenomic microbial community profiling using unique clade-specific marker genes.

Nicola Segata;Levi D. Waldron;Annalisa Ballarini;Vagheesh Narasimhan.
Nature Methods (2012)

1297 Citations

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