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
Computer Science D-index 50 Citations 34,225 153 World Ranking 3590 National Ranking 231

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Enzyme
  • Bioinformatics

Her main research concerns Computational biology, Bioinformatics, Annotation, UniProt and Database. Sandra Orchard has included themes like Plasma protein binding, Accession number, DNA sequencing and Protein family in her Computational biology study. Her research is interdisciplinary, bridging the disciplines of Proteomics Standards Initiative and Bioinformatics.

She incorporates Annotation and Ontology in her studies. Her work in the fields of Universal Protein Resource overlaps with other areas such as Protein sequencing. Sandra Orchard interconnects Web server, Open data, XML and Web service in the investigation of issues within Database.

Her most cited work include:

  • UniProt: A hub for protein information (3361 citations)
  • Activities at the Universal Protein Resource (UniProt) (1597 citations)
  • The Gene Ontology Resource: 20 years and still GOing strong (1527 citations)

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

Her primary scientific interests are in Proteomics Standards Initiative, Data science, Computational biology, Bioinformatics and Human proteome project. Proteomics Standards Initiative combines with fields such as Operations research, Molecular interactions, External Data Representation, World Wide Web and Library science in her investigation. Her work in Data science addresses issues such as Data exchange, which are connected to fields such as Data model.

Her biological study deals with issues like UniProt, which deal with fields such as Annotation. Her Human proteome project study combines topics in areas such as Proteome, Human proteins and Data-independent acquisition. Her Controlled vocabulary research incorporates themes from Ontology, Software and Database.

She most often published in these fields:

  • Proteomics Standards Initiative (31.90%)
  • Data science (30.06%)
  • Computational biology (23.93%)

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

  • Computational biology (23.93%)
  • UniProt (11.66%)
  • Data science (30.06%)

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

Sandra Orchard mainly focuses on Computational biology, UniProt, Data science, Annotation and Proteomics Standards Initiative. In most of her Computational biology studies, her work intersects topics such as Interactome. Her UniProt research is multidisciplinary, incorporating elements of Proteome and Clinical phenotype.

Her work deals with themes such as Enzyme Commission number and Enzyme regulation, which intersect with Proteome. Her study in Annotation is interdisciplinary in nature, drawing from both Disease gene and Neuroinflammation. Her Proteomics Standards Initiative research integrates issues from Human proteins and Data-independent acquisition.

Between 2018 and 2021, her most popular works were:

  • The Gene Ontology Resource: 20 years and still GOing strong (1527 citations)
  • Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set (92 citations)
  • UniProt: the universal protein knowledgebase in 2021 (57 citations)

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

  • Gene
  • Enzyme
  • Bioinformatics

Her scientific interests lie mostly in Computational biology, World Wide Web, Proteome, Data science and Resource. Her Computational biology research is multidisciplinary, relying on both Molecular analysis, Cell signaling and Small molecule. The World Wide Web study combines topics in areas such as Identifier and Documentation.

Her Proteome research includes themes of Proteomics Standards Initiative, UniProt, UniProt Knowledgebase and Human proteins. Her work on Data science is being expanded to include thematically relevant topics such as Field. Annotation and Schema are fields of study that intersect with her Ontology study.

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

UniProt: A hub for protein information

Alex Bateman;Maria Jesus Martin;Claire O'Donovan;Michele Magrane.
Nucleic Acids Research (2015)

6500 Citations

The Gene Ontology Resource: 20 years and still GOing strong

S. Carbon;E. Douglass;N. Dunn;B. Good.
Nucleic Acids Research (2019)

3753 Citations

Activities at the Universal Protein Resource (UniProt)

R Apweiler;A Bateman;MJ Martin;C O'Donovan.
Nucleic Acids Research (2013)

2677 Citations

UniProt: the universal protein knowledgebase in 2021

Alex Bateman;Maria-Jesus Martin;Sandra Orchard.
Nucleic Acids Research (2021)

2242 Citations

The InterPro Database, 2003 brings increased coverage and new features

Nicola J Mulder;Rolf Apweiler;Teresa K Attwood;Amos Marc Bairoch.
Nucleic Acids Research (2003)

1814 Citations

The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.

Sandra Orchard;Mais Ammari;Bruno Aranda;Lionel Breuza.
Nucleic Acids Research (2014)

1534 Citations

The Gene Ontology resource: enriching a GOld mine

Seth Carbon;Eric Douglass;Benjamin M Good.
Nucleic Acids Research (2021)

1257 Citations

The IntAct molecular interaction database in 2012

Samuel Kerrien;Bruno Aranda;Lionel Breuza;Alan Bridge.
Nucleic Acids Research (2012)

1178 Citations

IntAct: an open source molecular interaction database

Henning Hermjakob;Luisa Montecchi-Palazzi;Chris Lewington;Sugath Mudali.
Nucleic Acids Research (2004)

1088 Citations

Ongoing and future developments at the Universal Protein Resource

Anne Morgat;Rolf Apweiler;Maria-Jesus Martin;C. O'Donovan.
Nucleic Acids Research (2011)

1035 Citations

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Royal Institute of Technology

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