D-Index & Metrics Best Publications
James J. Collins

James J. Collins

Research.com 2022 Best Scientist Award Badge

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
Best Scientists D-index 186 Citations 136,217 722 World Ranking 344 National Ranking 230
Biology and Biochemistry D-index 143 Citations 92,681 554 World Ranking 161 National Ranking 122

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

2020 - Max Delbruck Prize, Division of Biological Physics of the American Physical Society For pioneering contributions at the interface of physics and biology, in particular the establishment of the field of synthetic biology and applications of statistical physics and nonlinear dynamics in biology and medicine.

2014 - Member of the National Academy of Sciences

2012 - Fellow of the American Academy of Arts and Sciences

2012 - Fellow, National Academy of Inventors

2012 - Member of the National Academy of Medicine (NAM)

2011 - Member of the National Academy of Engineering For contributions to synthetic biology and engineered gene networks.

2007 - National Institutes of Health Director's Pioneer Award

2003 - Fellow of the MacArthur Foundation

2000 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Internal medicine
  • DNA

His primary scientific interests are in Genetics, Antibiotics, Computational biology, Synthetic biology and Microbiology. The various areas that James J. Collins examines in his Antibiotics study include Oxidative stress, Escherichia coli, Drug resistance and Bacteria. His Computational biology research also works with subjects such as

  • Inference and In silico most often made with reference to Gene regulatory network,
  • Drug discovery, which have a strong connection to Direct effects and Antibiotic drug.

His Synthetic biology research is multidisciplinary, incorporating elements of Genome, Biotechnology, Systems biology, Biological network and Synthetic gene. His Microbiology research incorporates elements of Immunology and Multidrug tolerance, Biofilm. His research integrates issues of Gene expression profiling and Cell biology in his study of Regulation of gene expression.

His most cited work include:

  • Construction of a genetic toggle switch in Escherichia coli (3398 citations)
  • A practical method for calculating largest Lyapunov exponents from small data sets (2327 citations)
  • Highly efficient reprogramming to pluripotency and directed differentiation of human cells with synthetic modified mRNA (2130 citations)

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

His primary areas of investigation include Computational biology, Genetics, Synthetic biology, Microbiology and Antibiotics. His Computational biology study integrates concerns from other disciplines, such as RNA, Reprogramming, Transcription factor and CRISPR. His study ties his expertise on Synthetic gene together with the subject of Synthetic biology.

The concepts of his Microbiology study are interwoven with issues in Bacteria, Biofilm and Escherichia coli. His Antibiotics study combines topics from a wide range of disciplines, such as Reactive oxygen species, Programmed cell death, Multidrug tolerance and Microbial metabolism. His studies in Cellular differentiation integrate themes in fields like Embryonic stem cell and Stem cell.

He most often published in these fields:

  • Computational biology (30.43%)
  • Genetics (21.48%)
  • Synthetic biology (23.66%)

What were the highlights of his more recent work (between 2016-2021)?

  • Computational biology (30.43%)
  • Synthetic biology (23.66%)
  • Antibiotics (23.40%)

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

His main research concerns Computational biology, Synthetic biology, Antibiotics, CRISPR and Microbiology. His biological study spans a wide range of topics, including Guide RNA and RNA, Reprogramming, Transcription factor, Gene. His Gene study is concerned with the larger field of Genetics.

His work deals with themes such as NAND gate, AND gate and Crosstalk, which intersect with Synthetic biology. His research on Antibiotics also deals with topics like

  • Multidrug tolerance that connect with fields like Antibiotic resistance,
  • Cellular respiration that connect with fields like DNA damage. In his study, Pathogen, Escherichia coli and Cell biology is strongly linked to Bacteria, which falls under the umbrella field of Microbiology.

Between 2016 and 2021, his most popular works were:

  • Nucleic acid detection with CRISPR-Cas13a/C2c2 (790 citations)
  • Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6 (565 citations)
  • Next-Generation Machine Learning for Biological Networks (287 citations)

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

  • Gene
  • Internal medicine
  • DNA

James J. Collins focuses on Synthetic biology, Antibiotics, Computational biology, CRISPR and Microbiology. His Synthetic biology research includes elements of AND gate, Electronic circuit, Synthetic gene and Gene regulatory network. James J. Collins combines subjects such as Lethality, Cellular respiration, Multidrug tolerance and Microbial metabolism with his study of Antibiotics.

The study incorporates disciplines such as Repressor, Reprogramming, Cellular differentiation and Cell fate determination in addition to Computational biology. CRISPR is a primary field of his research addressed under Genetics. His Microbiology study combines topics in areas such as Immune system, Tricarboxylic acid and Bacteria.

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

Construction of a genetic toggle switch in Escherichia coli

Timothy S. Gardner;Charles R. Cantor;James J. Collins.
Nature (2000)

4958 Citations

A practical method for calculating largest Lyapunov exponents from small data sets

Michael T. Rosenstein;James J. Collins;Carlo J. De Luca.
Physica D: Nonlinear Phenomena (1993)

3790 Citations

Highly efficient reprogramming to pluripotency and directed differentiation of human cells with synthetic modified mRNA

Luigi Warren;Philip D. Manos;Philip D. Manos;Tim Ahfeldt;Tim Ahfeldt;Yuin-Han Loh.
Cell Stem Cell (2010)

3049 Citations

Stochasticity in gene expression: from theories to phenotypes

Mads Kærn;Timothy C. Elston;William J. Blake;James J. Collins.
Nature Reviews Genetics (2005)

2465 Citations

A Common Mechanism of Cellular Death Induced by Bactericidal Antibiotics

Michael A. Kohanski;Daniel J. Dwyer;Boris Hayete;Carolyn A. Lawrence.
Cell (2007)

2437 Citations

Noise in eukaryotic gene expression

William J. Blake;Mads KÆrn;Charles R. Cantor;J. J. Collins.
Nature (2003)

1878 Citations

How antibiotics kill bacteria: from targets to networks

Michael A. Kohanski;Daniel J. Dwyer;James J. Collins;James J. Collins;James J. Collins.
Nature Reviews Microbiology (2010)

1867 Citations

Nucleic acid detection with CRISPR-Cas13a/C2c2

Jonathan S. Gootenberg;Omar O. Abudayyeh;Jeong Wook Lee;Patrick Essletzbichler.
Science (2017)

1769 Citations

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles.

Jeremiah J Faith;Boris Hayete;Joshua T Thaden;Ilaria Mogno;Ilaria Mogno.
PLOS Biology (2007)

1749 Citations

The Immunological Genome Project: networks of gene expression in immune cells

Tracy S P Heng;Michio W Painter;Kutlu Elpek;Veronika Lukacs-Kornek.
Nature Immunology (2008)

1437 Citations

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