D-Index & Metrics Best Publications
Biology and Biochemistry
China
2023

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
Biology and Biochemistry D-index 83 Citations 24,652 926 World Ranking 2216 National Ranking 41

Research.com Recognitions

Awards & Achievements

2023 - Research.com Biology and Biochemistry in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Quantum mechanics
  • Enzyme

His main research concerns Genetics, Gene, Genome, Catfish and Metabolic engineering. In his work, Carp and Cyprinidae is strongly intertwined with Common carp, which is a subfield of Genetics. His research combines Aquaculture and Gene.

His work deals with themes such as Zebrafish, Gene mapping and Ictaluridae, which intersect with Genome. His Catfish research incorporates themes from Immune system and Antimicrobial peptides. His Metabolic engineering research is multidisciplinary, incorporating elements of Synthetic biology, Systems biology, Metabolic pathway and Bioreactor.

His most cited work include:

  • Developing a new form of permeability and Kozeny-Carman constant for homogeneous porous media by means of fractal geometry (368 citations)
  • Genome sequence and genetic diversity of the common carp, Cyprinus carpio. (347 citations)
  • Modular optimization of multi-gene pathways for fatty acids production in E. coli (336 citations)

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

Peng Xu mainly investigates Genetics, Gene, Artificial intelligence, Genome and Optics. His Genetics study frequently draws connections to adjacent fields such as Common carp. Peng Xu studies Gene, namely Mitochondrial DNA.

His study ties his expertise on Pattern recognition together with the subject of Artificial intelligence.

He most often published in these fields:

  • Genetics (13.15%)
  • Gene (10.69%)
  • Artificial intelligence (7.80%)

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

  • Artificial intelligence (7.80%)
  • Yarrowia (2.88%)
  • Gene (10.69%)

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

His primary areas of investigation include Artificial intelligence, Yarrowia, Gene, Metabolic engineering and Biochemistry. His research integrates issues of Sketch and Pattern recognition in his study of Artificial intelligence. His Gene study results in a more complete grasp of Genetics.

His Genetics study frequently draws connections to other fields, such as Common carp. His study of Yeast is a part of Biochemistry. Phylogenetic tree is closely connected to Evolutionary biology in his research, which is encompassed under the umbrella topic of Genome.

Between 2019 and 2021, his most popular works were:

  • ZAIGA: Zhaoshan Long-baseline Atom Interferometer Gravitation Antenna (43 citations)
  • CRISPR-Cas12a/Cpf1-assisted precise, efficient and multiplexed genome-editing in Yarrowia lipolytica (37 citations)
  • Debottlenecking mevalonate pathway for antimalarial drug precursor amorphadiene biosynthesis in Yarrowia lipolytica. (23 citations)

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

  • Gene
  • Quantum mechanics
  • Enzyme

His primary areas of investigation include Artificial intelligence, Metabolic engineering, Yarrowia, Computational biology and Pattern recognition. Peng Xu interconnects Commodity chemicals and Mevalonate pathway in the investigation of issues within Metabolic engineering. His Yarrowia research entails a greater understanding of Biochemistry.

Peng Xu is involved in the study of Biochemistry that focuses on Yeast in particular. His specific area of interest is Computational biology, where he studies Synthetic biology. His work carried out in the field of Pattern recognition brings together such families of science as Transfer of learning, Default mode network and Electroencephalography.

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

Developing a new form of permeability and Kozeny-Carman constant for homogeneous porous media by means of fractal geometry

Peng Xu;Boming Yu.
Advances in Water Resources (2008)

671 Citations

Genome sequence and genetic diversity of the common carp, Cyprinus carpio.

Peng Xu;Xiaofeng Zhang;Xumin Wang;Jiongtang Li.
Nature Genetics (2014)

539 Citations

Improving fatty acids production by engineering dynamic pathway regulation and metabolic control

Peng Xu;Lingyun Li;Fuming Zhang;Gregory Stephanopoulos.
Proceedings of the National Academy of Sciences of the United States of America (2014)

465 Citations

Modular optimization of multi-gene pathways for fatty acids production in E. coli

Peng Xu;Qin Gu;Wenya Wang;Wenya Wang;Lynn Wong.
Nature Communications (2013)

450 Citations

Engineering Yarrowia lipolytica as a platform for synthesis of drop-in transportation fuels and oleochemicals

Peng Xu;Kangjian Qiao;Woo Suk Ahn;Gregory Stephanopoulos.
Proceedings of the National Academy of Sciences of the United States of America (2016)

340 Citations

Lipid production in Yarrowia lipolytica is maximized by engineering cytosolic redox metabolism.

Kangjian Qiao;Thomas M Wasylenko;Kang Zhou;Peng Xu.
Nature Biotechnology (2017)

321 Citations

Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA.

Peng Xu;Sridhar Ranganathan;Zachary L. Fowler;Costas D. Maranas.
Metabolic Engineering (2011)

318 Citations

Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack

Peng Xu;Hai Jin;Qianhong Wu;Wei Wang.
IEEE Transactions on Computers (2013)

287 Citations

Role of flippases, scramblases and transfer proteins in phosphatidylserine subcellular distribution.

Hannah M. Hankins;Ryan D. Baldridge;Peng Xu;Todd R. Graham.
Traffic (2015)

264 Citations

ePathBrick: A Synthetic Biology Platform for Engineering Metabolic Pathways in E. coli

Peng Xu;Amerin Vansiri;Namita Bhan;Mattheos A. G. Koffas.
ACS Synthetic Biology (2012)

257 Citations

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