Denise Slenter

About Denise Slenter

Denise Slenter, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universiteit Maastricht, specializes in the field of Metabolites, metabolomics, idenfifier mapping, chemistry, bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations

Guiding the choice of informatics software and tools for lipidomics research applications

BridgeDb and Wikidata: a powerful combination generating interoperable open research (BridgeDb)

A Systems Biology Workflow to Support the Diagnosis of Pyrimidine and Urea Cycle Disorders

WikiPathways: Integrating Pathway Knowledge with Clinical Data

Research Techniques Made Simple: Lipidomic Analysis in Skin Research

COVID-19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms (vol 17, e10387, 2021)

COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms

Denise Slenter Information

University

Position

PhD candidate

Citations(all)

1737

Citations(since 2020)

1648

Cited By

554

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Denise Slenter Skills & Research Interests

Metabolites

metabolomics

idenfifier mapping

chemistry

bioinformatics

Top articles of Denise Slenter

Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations

Orphanet Journal of Rare Diseases

2023/4/26

Guiding the choice of informatics software and tools for lipidomics research applications

2023/2

BridgeDb and Wikidata: a powerful combination generating interoperable open research (BridgeDb)

Research Ideas and Outcomes

2022/3/7

A Systems Biology Workflow to Support the Diagnosis of Pyrimidine and Urea Cycle Disorders

medRxiv

2022/2/4

WikiPathways: Integrating Pathway Knowledge with Clinical Data

2022

Research Techniques Made Simple: Lipidomic Analysis in Skin Research

2022/1/1

Ten simple rules for creating reusable pathway models for computational analysis and visualization

2021/8/19

Interpreting the lipidome: bioinformatic approaches to embrace the complexity

2021/6

See List of Professors in Denise Slenter University(Universiteit Maastricht)

Co-Authors

academic-engine