Pekka Kohonen
Karolinska Institutet
H-index: 36
Europe-Sweden
Top articles of Pekka Kohonen
Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different Morphologies
Advanced Science
2024/3
The precision toxicology initiative
Toxicology Letters
2023/5/19
Riccardo Massei
H-Index: 10
Stefan Scholz
H-Index: 10
Maria Bondesson
H-Index: 19
Thomas Kaufman
H-Index: 32
Thomas Dickmeis
H-Index: 17
Ravindra Peravali
H-Index: 8
Carsten Weiss
H-Index: 25
Xin Liu
H-Index: 3
Rubén Martínez
H-Index: 5
Pekka Kohonen
H-Index: 26
Daniel Jacobson
H-Index: 11
Anurag Chaturvedi
H-Index: 7
Xiaojing Li
H-Index: 3
Gaurav D Diwan
H-Index: 4
Gurdeep Singh
H-Index: 4
Susanna-Assunta Sansone
H-Index: 42
Philippe Rocca-Serra
H-Index: 38
Reply to: Prospects and challenges for FAIR toxicogenomics data
2022/1
Pekka Kohonen
H-Index: 26
Penny Nymark
H-Index: 16
Novel means of enabling high-throughput toxicogenomics and adverse outcome pathways for prediction of lung toxicity
Toxicology Letters
2021/9/1
In vitro-based high-throughput screening and toxicogenomics to support effective safety evaluation of engineered nanomaterials
Toxicology Letters
2021/9/1
Towards FAIR nanosafety data
Nature Nanotechnology
2021/6
NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
2020/1/1
Georgia Melagraki
H-Index: 21
Panagiotis Isigonis
H-Index: 7
Haralambos Sarimveis
H-Index: 28
Philip Doganis
H-Index: 9
Vladimir Lobaskin
H-Index: 16
Pekka Kohonen
H-Index: 26
Penny Nymark
H-Index: 16
Egon Willighagen
H-Index: 30
Tomasz Puzyn
H-Index: 30
Alexander Lyubartsev
H-Index: 32
Alexander Tropsha
H-Index: 50
Yoram Cohen
H-Index: 30
Jerzy Leszczynski
H-Index: 41
Mark Wiesner
H-Index: 62
David Winkler
H-Index: 3
Tae Hyun Yoon
H-Index: 19
Iseult Lynch
H-Index: 54
Can an InChI for nano address the need for a simplified representation of complex nanomaterials across experimental and nanoinformatics studies?
Nanomaterials
2020/12
In vitro toxicogenomics for toxicity prediction using probabilistic component modeling and a compound-induced transcriptional response pattern
2020/5/26
Transcriptomics in toxicogenomics, part II: preprocessing and differential expression analysis for high quality data
2020/5/8
Transcriptomics in toxicogenomics, part I: experimental design, technologies, publicly available data, and regulatory aspects
2020/4/15
Transcriptomics in toxicogenomics, part III: data modelling for risk assessment
2020/4/8
Toward rigorous materials production: new approach methodologies have extensive potential to improve current safety assessment practices
2020/2
Penny Nymark
H-Index: 16
Pekka Kohonen
H-Index: 26