World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
32036
World Ranking
4176
National Ranking
24

Overview

Sampo Pyysalo is affiliated with the University of Turku in Finland. Their research spans several interdisciplinary fields, with a focus on computational methods related to biology and language processing.

Their primary fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these fields, Pyysalo has contributed extensively to subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Spectroscopy
  • Computational Theory and Mathematics
  • Information Systems

The main research topics addressed by Pyysalo encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Text Readability and Simplification
  • Semantic Web and Ontologies
  • Advanced Proteomics Techniques and Applications

Among Pyysalo's frequent co-authors are:

  • Katerina Nastou
  • Lars Juhl Jensen
  • Farrokh Mehryary
  • Filip Ginter
  • Jouni Luoma

Pyysalo has published in a variety of scientific venues. The most common publication forums include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Bioinformatics

Recent notable papers authored or co-authored by Pyysalo include:

  • The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets, 2020, Nucleic Acids Research
  • The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest, 2022, Nucleic Acids Research
  • Correction to 'The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets', 2021, Nucleic Acids Research
  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection, 2020, arXiv (Cornell University)
  • The STRING database in 2025: protein networks with directionality of regulation, 2024, Nucleic Acids Research

Best Publications

  • The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

    Unknown

  • The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.

    Damian Szklarczyk;Annika L. Gable;Katerina C. Nastou;David Lyon

  • Universal Dependencies v1: A Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • brat: a Web-based Tool for NLP-Assisted Text Annotation

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Overview of BioNLP'09 Shared Task on Event Extraction

    Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • BioInfer: a corpus for information extraction in the biomedical domain

    Sampo Pyysalo;Filip Ginter;Juho Heimonen;Jari Björne

  • Correction to ‘The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets’

    Unknown

  • Distributional Semantics Resources for Biomedical Text Processing

    S Pyysalo;F Ginter;H Moen;T Salakoski

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • How to Train good Word Embeddings for Biomedical NLP

    Billy Chiu;Gamal K. O. Crichton;Anna Korhonen;Sampo Pyysalo

  • All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning

    Antti Airola;Sampo Pyysalo;Jari Björne;Tapio Pahikkala

  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Jan Hajic

  • Comparative analysis of five protein-protein interaction corpora

    Sampo Pyysalo;Antti Airola;Juho Heimonen;Jari Björne

  • Event extraction for systems biology by text mining the literature.

    Sophia Ananiadou;Sampo Pyysalo;Jun’ichi Tsujii;Douglas B. Kell

  • Universal Dependencies 1.0

    Joakim Nivre;Cristina Bosco;Jinho Choi;Marie-Catherine de Marneffe

  • Universal Dependencies 2.1

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Lene Antonsen

  • A neural network multi-task learning approach to biomedical named entity recognition

    Gamal K. O. Crichton;Sampo Pyysalo;Billy Chiu;Anna Korhonen

  • Overview of BioNLP Shared Task 2013

    Claire Nédellec;Robert Bossy;Jin-Dong Kim;Jung-Jae Kim

  • Overview of BioNLP Shared Task 2011

    Jin-Dong Kim;Sampo Pyysalo;Tomoko Ohta;Robert Bossy

  • Multilingual is not enough: BERT for Finnish

    Antti Virtanen;Jenna Kanerva;Rami Ilo;Jouni Luoma

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Filip Ginter
Filip Ginter University of Turku
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Tomoko Ohta
Tomoko Ohta University of Tokyo
Tapio Salakoski
Tapio Salakoski University of Turku
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Christopher D. Manning
Christopher D. Manning Stanford University
Joakim Nivre
Joakim Nivre Uppsala University
Jan Hajič
Jan Hajič Charles University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Slav Petrov
Slav Petrov Google (United States)

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