D-Index & Metrics Best Publications

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
Engineering and Technology D-index 31 Citations 5,054 95 World Ranking 7312 National Ranking 2250

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Database
  • Bioinformatics

Genetics, Social Semantic Web, Computational biology, Data science and Data Web are his primary areas of study. His research in Genetics focuses on subjects like Database, which are connected to Computer graphics. In his research on the topic of Social Semantic Web, Semantic Web is strongly related with Web standards.

As part of his studies on Computational biology, Kei-Hoi Cheung frequently links adjacent subjects like Proteome. His Data Web research incorporates themes from Data integration and Semantic Web Stack. His work in the fields of Linkage disequilibrium and Allele frequency overlaps with other areas such as Population genetics.

His most cited work include:

  • Subcellular localization of the yeast proteome (660 citations)
  • The BioPAX community standard for pathway data sharing (531 citations)
  • Global Patterns of Linkage Disequilibrium at the CD4 Locus and Modern Human Origins (511 citations)

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

His primary areas of study are Semantic Web, Information retrieval, World Wide Web, Database and Data science. In his study, Open Biomedical Ontologies is inextricably linked to Text mining, which falls within the broad field of Semantic Web. His Information retrieval study which covers Data integration that intersects with Bioinformatics.

His research in Database intersects with topics in Interoperation, Genome and Allele frequency. His work carried out in the field of RDF brings together such families of science as Linked data and The Internet. His study on Carcinogenesis is covered under Genetics.

He most often published in these fields:

  • Semantic Web (23.26%)
  • Information retrieval (20.93%)
  • World Wide Web (19.38%)

What were the highlights of his more recent work (between 2015-2021)?

  • Psychiatry (4.65%)
  • Veterans Affairs (3.88%)
  • Genome-wide association study (4.65%)

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

Kei-Hoi Cheung focuses on Psychiatry, Veterans Affairs, Genome-wide association study, Ontology and Metadata. His Genome-wide association study study combines topics from a wide range of disciplines, such as Locus and Clinical psychology. His Ontology research incorporates elements of Gating, World Wide Web and Natural language processing.

As part of the same scientific family, Kei-Hoi Cheung usually focuses on Metadata, concentrating on Interoperability and intersecting with Software framework and FASTQ format. His Data Annotation study frequently draws connections between adjacent fields such as Semantic Web. His Semantic Web research focuses on Semantics and how it connects with The Internet.

Between 2015 and 2021, his most popular works were:

  • exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids (89 citations)
  • Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. (60 citations)
  • Predicting urinary tract infections in the emergency department with machine learning. (57 citations)

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

  • Gene
  • Database
  • DNA

His primary scientific interests are in Metadata, Ontology, Extracellular RNA, Terminology and Genome-wide association study. His Metadata research is within the category of World Wide Web. Kei-Hoi Cheung interconnects Software framework, Interoperability, FASTQ format and Discoverability in the investigation of issues within Ontology.

His Extracellular RNA study spans across into subjects like Ribonucleoprotein, Extracellular vesicles, Atlas, Computational biology and Information retrieval. He integrates several fields in his works, including Terminology, Extracellular vesicle, Faceted search, Context, Repertoire and Biotechnology. The Genome-wide association study study combines topics in areas such as Biobank, Genetic risk and Locus.

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

Subcellular localization of the yeast proteome

Anuj Kumar;Seema Agarwal;John A. Heyman;Sandra Matson.
Genes & Development (2002)

894 Citations

Global Patterns of Linkage Disequilibrium at the CD4 Locus and Modern Human Origins

S. A. Tishkoff;E. Dietzsch;W. Speed;A. J. Pakstis.
Science (1996)

765 Citations

The BioPAX community standard for pathway data sharing

Emek Demir;Emek Demir;Michael P. Cary;Suzanne Paley;Ken Fukuda.
Nature Biotechnology (2010)

714 Citations

Large-scale analysis of the yeast genome by transposon tagging and gene disruption

P. Ross-Macdonald;P. S. R. Coelho;T. Roemer;S. Agarwal.
Nature (1999)

668 Citations

Advancing translational research with the Semantic Web

Alan Ruttenberg;Tim Clark;William J. Bug;Matthias Samwald.
BMC Bioinformatics (2007)

344 Citations

exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids

Oscar D. Murillo;William Thistlethwaite;Joel Rozowsky;Sai Lakshmi Subramanian.
Cell (2019)

182 Citations

X!!Tandem, an Improved Method for Running X!Tandem in Parallel on Collections of Commodity Computers

Robert D. Bjornson;Nicholas J. Carriero;Christopher Colangelo;Mark Shifman.
Journal of Proteome Research (2008)

157 Citations

YeastHub: a semantic web use case for integrating data in the life sciences domain

Kei-Hoi Cheung;Kevin Y. Yip;Andrew Smith;Remko Deknikker.
Bioinformatics (2005)

156 Citations

An integrated approach for finding overlooked genes in yeast

Anuj Kumar;Paul M. Harrison;Kei Hoi Cheung;Ning Lan.
Nature Biotechnology (2002)

143 Citations

A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data

Qiongshi Lu;Yiming Hu;Jiehuan Sun;Yuwei Cheng.
Scientific Reports (2015)

128 Citations

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

Contact us

Best Scientists Citing Kei-Hoi Cheung

Kenneth K. Kidd

Kenneth K. Kidd

Yale University

Publications: 71

Mark Gerstein

Mark Gerstein

Yale University

Publications: 55

Hongyu Zhao

Hongyu Zhao

Yale University

Publications: 51

Joel Gelernter

Joel Gelernter

Yale University

Publications: 42

Michael Snyder

Michael Snyder

Stanford University

Publications: 40

Falk Schreiber

Falk Schreiber

University of Konstanz

Publications: 38

Sarah A. Tishkoff

Sarah A. Tishkoff

University of Pennsylvania

Publications: 30

Mark A. Musen

Mark A. Musen

Stanford University

Publications: 29

Michel Dumontier

Michel Dumontier

Maastricht University

Publications: 28

T. S. Keshava Prasad

T. S. Keshava Prasad

Yenepoya University

Publications: 28

Murray B. Stein

Murray B. Stein

University of California, San Diego

Publications: 28

Judith R. Kidd

Judith R. Kidd

Yale University

Publications: 28

Andrew J. Pakstis

Andrew J. Pakstis

Yale University

Publications: 24

Chris Sander

Chris Sander

Harvard University

Publications: 24

Henning Hermjakob

Henning Hermjakob

European Bioinformatics Institute

Publications: 24

Francesc Calafell

Francesc Calafell

Pompeu Fabra University

Publications: 21

Trending Scientists

Jeom Kee Paik

Jeom Kee Paik

University College London

Changkun Zhang

Changkun Zhang

The University of Texas at Austin

Masoud Rabbani

Masoud Rabbani

University of Tehran

Siegfried Blechert

Siegfried Blechert

Technical University of Berlin

Hans-Wolfram Lerner

Hans-Wolfram Lerner

Goethe University Frankfurt

Jianyong Ouyang

Jianyong Ouyang

National University of Singapore

Jerome K. Vanclay

Jerome K. Vanclay

Southern Cross University

Alexander Gusev

Alexander Gusev

Dana-Farber Cancer Institute

Lars Michels

Lars Michels

University of Zurich

Manuel Rodriguez

Manuel Rodriguez

University of La Laguna

Elke Kalbe

Elke Kalbe

University of Vechta

Ziad A. Memish

Ziad A. Memish

Emory University

John R. Goldblum

John R. Goldblum

Cleveland Clinic

Albert C. Ludolph

Albert C. Ludolph

University of Ulm

Jan Aart Scholte

Jan Aart Scholte

University of Duisburg-Essen

Something went wrong. Please try again later.