H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry H-index 60 Citations 57,960 123 World Ranking 5582 National Ranking 2649

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to computational biology, algorithms, and software for DNA sequence analysis and sequence assembly

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • Bacteria

Mihai Pop mainly focuses on Genetics, Genome, Gene, Metagenomics and Sequence assembly. His work carried out in the field of Genetics brings together such families of science as Software and Computational biology. His studies in Genome integrate themes in fields like Bacillus anthracis, Sequence analysis and DNA sequencing.

His studies deal with areas such as Microbiome and Marker gene as well as Metagenomics. His work in Microbiome tackles topics such as Earth Microbiome Project which are related to areas like Oral Microbiome, Gastrointestinal Microbiome, Ecology and Enterotype. His DNA sequencing theory research is multidisciplinary, relying on both Memory footprint, FASTQ format and Parallel computing.

His most cited work include:

  • Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (15531 citations)
  • Structure, function and diversity of the healthy human microbiome (6128 citations)
  • Metagenomic Analysis of the Human Distal Gut Microbiome (3125 citations)

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

His scientific interests lie mostly in Genome, Genetics, Computational biology, Metagenomics and Sequence assembly. His study with Genome involves better knowledge in Gene. The Genetics study combines topics in areas such as Software and Microbiology.

His Computational biology study integrates concerns from other disciplines, such as Taxonomic rank, Short read, Shotgun sequencing and Human genetics. His Metagenomics research is multidisciplinary, incorporating perspectives in Microbiome, Ecology, Data mining and Data science. His study looks at the relationship between Phylogenetics and fields such as Phylogenetic tree, as well as how they intersect with chemical problems.

He most often published in these fields:

  • Genome (36.81%)
  • Genetics (34.62%)
  • Computational biology (32.42%)

What were the highlights of his more recent work (between 2018-2021)?

  • Metagenomics (30.22%)
  • Computational biology (32.42%)
  • DNA sequencing (15.38%)

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

His primary areas of investigation include Metagenomics, Computational biology, DNA sequencing, Microbiome and Genome. His biological study deals with issues like Ecology, which deal with fields such as Surface water and Caudovirales. His Computational biology research includes themes of Contig, Ensemble learning, Software, Oligonucleotide and Microbial pathogenesis.

He has researched DNA sequencing in several fields, including Error detection and correction and Data mining. In Microbiome, Mihai Pop works on issues like Data science, which are connected to Standardization, Gene, Supplementary data and Scripting language. In the field of Genome, his study on Genomics, Shotgun sequencing and Synteny overlaps with subjects such as Set and Multiple strain.

Between 2018 and 2021, his most popular works were:

  • Integrating Hi-C links with assembly graphs for chromosome-scale assembly. (66 citations)
  • Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes. (56 citations)
  • Misunderstood parameter of NCBI BLAST impacts the correctness of bioinformatics workflows (34 citations)

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

  • Gene
  • Bacteria
  • Genome

His primary scientific interests are in DNA sequencing, Computational biology, Genome, Metagenomics and Genomics. There are a combination of areas like Protocol, Simulated data, Sensitivity, Benchmarking and Limiting integrated together with his DNA sequencing study. The concepts of his Computational biology study are interwoven with issues in Contig, Microbial population biology, Short read, Identification and Virus.

His study on Genome is mostly dedicated to connecting different topics, such as Algorithm. His research integrates issues of Antimicrobial resistance genes, Assembly algorithm and Synteny in his study of Metagenomics. He conducts interdisciplinary study in the fields of Genomics and Sequence assembly through his works.

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.

Top Publications

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Ben Langmead;Cole Trapnell;Mihai Pop;Steven L Salzberg.
Genome Biology (2009)

18790 Citations

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 Analysis of the Human Distal Gut Microbiome

Steven R. Gill;Mihai Pop;Robert T. DeBoy;Paul B. Eckburg;Paul B. Eckburg.
Science (2006)

4513 Citations

Evolution of genes and genomes on the Drosophila phylogeny.

Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman.
Nature (2007)

1659 Citations

A framework for human microbiome research

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

1614 Citations

The genome sequence of Trypanosoma cruzi, etiologic agent of Chagas disease

Najib M. El-Sayed;Peter J. Myler;Peter J. Myler;Daniella C. Bartholomeu;Daniel Nilsson.
Science (2005)

1605 Citations

Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440

K. E. Nelson;C. Weinel;I. T. Paulsen;R. J. Dodson.
Environmental Microbiology (2002)

1493 Citations

Differential abundance analysis for microbial marker-gene surveys

Joseph N Paulson;O Colin Stine;Héctor Corrada Bravo;Mihai Pop.
Nature Methods (2013)

1266 Citations

Statistical methods for detecting differentially abundant features in clinical metagenomic samples.

James Robert White;Niranjan Nagarajan;Mihai Pop.
PLOS Computational Biology (2009)

1182 Citations

ARDB—Antibiotic Resistance Genes Database

Bo Liu;Mihai Pop.
Nucleic Acids Research (2009)

1021 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

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