Sofie Van Landeghem

938 total citations
21 papers, 616 citations indexed

About

Sofie Van Landeghem is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Sofie Van Landeghem has authored 21 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Sofie Van Landeghem's work include Biomedical Text Mining and Ontologies (18 papers), Bioinformatics and Genomic Networks (12 papers) and Semantic Web and Ontologies (9 papers). Sofie Van Landeghem is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Bioinformatics and Genomic Networks (12 papers) and Semantic Web and Ontologies (9 papers). Sofie Van Landeghem collaborates with scholars based in Belgium, Finland and United Kingdom. Sofie Van Landeghem's co-authors include Yves Van de Peer, Dirk Inzé, Marieke Dubois, Filip Ginter, Tapio Salakoski, Katrien Maleux, Hannes Claeys, Yvan Saeys, Bernard De Baets and Kai Hakala and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

Sofie Van Landeghem

21 papers receiving 584 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sofie Van Landeghem Belgium	13	449	231	162	27	26	21	616
Deept Kumar United States	9	230 0.5×	42 0.2×	96 0.6×	20 0.7×	18 0.7×	11	435
Domenica D’Elia Italy	15	334 0.7×	53 0.2×	35 0.2×	51 1.9×	16 0.6×	38	470
А. В. Селиверстов Russia	11	209 0.5×	75 0.3×	27 0.2×	69 2.6×	69 2.7×	57	357
Cécile Pereira United States	8	355 0.8×	100 0.4×	55 0.3×	43 1.6×	38 1.5×	10	506
Matthew Holford United States	7	315 0.7×	51 0.2×	143 0.9×	70 2.6×	10 0.4×	9	446
Chaoyang Zhang United States	14	496 1.1×	68 0.3×	46 0.3×	73 2.7×	14 0.5×	43	651
Sebastian Kloska Germany	10	488 1.1×	29 0.1×	609 3.8×	64 2.4×	37 1.4×	10	1.0k
Matteo Comin Italy	13	488 1.1×	217 0.9×	54 0.3×	49 1.8×	66 2.5×	57	567
François Rechenmann France	11	454 1.0×	181 0.8×	49 0.3×	72 2.7×	28 1.1×	21	556
Chantal Korostensky Switzerland	7	553 1.2×	39 0.2×	133 0.8×	81 3.0×	18 0.7×	11	703

Countries citing papers authored by Sofie Van Landeghem

Since Specialization

Citations

This map shows the geographic impact of Sofie Van Landeghem's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sofie Van Landeghem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Van Landeghem more than expected).

Fields of papers citing papers by Sofie Van Landeghem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofie Van Landeghem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sofie Van Landeghem. The network helps show where Sofie Van Landeghem may publish in the future.

Co-authorship network of co-authors of Sofie Van Landeghem

This figure shows the co-authorship network connecting the top 25 collaborators of Sofie Van Landeghem. A scholar is included among the top collaborators of Sofie Van Landeghem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sofie Van Landeghem. Sofie Van Landeghem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Landeghem, Sofie Van, Thomas Van Parys, Marieke Dubois, Dirk Inzé, & Yves Van de Peer. (2016). Diffany: an ontology-driven framework to infer, visualise and analyse differential molecular networks. BMC Bioinformatics. 17(1). 18–18. 29 indexed citations

Kaewphan, Suwisa, Sofie Van Landeghem, Tomoko Ohta, et al.. (2015). Cell line name recognition in support of the identification of synthetic lethality in cancer from text. Bioinformatics. 32(2). 276–282. 17 indexed citations

Hakala, Kai, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer, & Filip Ginter. (2015). Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis. BMC Bioinformatics. 16(S16). S3–S3. 9 indexed citations

Claeys, Hannes, Sofie Van Landeghem, Marieke Dubois, Katrien Maleux, & Dirk Inzé. (2014). What Is Stress? Dose-Response Effects in Commonly Used in Vitro Stress Assays. PLANT PHYSIOLOGY. 165(2). 519–527. 148 indexed citations

Hakala, Kai, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer, & Filip Ginter. (2013). EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction. Meeting of the Association for Computational Linguistics. 26–34. 32 indexed citations

Vandepoele, Klaas, Michiel Van Bel, Guilhem Richard, et al.. (2013). pico‐ PLAZA , a genome database of microbial photosynthetic eukaryotes. Environmental Microbiology. 15(8). 2147–2153. 57 indexed citations

Landeghem, Sofie Van, Suwisa Kaewphan, Filip Ginter, & Yves Van de Peer. (2013). Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures. Meeting of the Association for Computational Linguistics. 63–71. 2 indexed citations

Landeghem, Sofie Van, Jari Björne, Chih-Hsuan Wei, et al.. (2013). Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization. PLoS ONE. 8(4). e55814–e55814. 79 indexed citations

Landeghem, Sofie Van, Stefanie De Bodt, Zuzanna Drebert, Dirk Inzé, & Yves Van de Peer. (2013). The Potential of Text Mining in Data Integration and Network Biology for Plant Research: A Case Study onArabidopsis . The Plant Cell. 25(3). 794–807. 24 indexed citations

10.

Björne, Jari, Sofie Van Landeghem, Sampo Pyysalo, et al.. (2012). PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations. Research Explorer (The University of Manchester). 82–90. 9 indexed citations

11.

Landeghem, Sofie Van, Jari Björne, Thomas Abeel, et al.. (2012). Semantically linking molecular entities in literature through entity relationships. BMC Bioinformatics. 13(S11). S6–S6. 15 indexed citations

12.

Landeghem, Sofie Van, et al.. (2012). Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations. PubMed. 2012. 1–12. 34 indexed citations

13.

Landeghem, Sofie Van, Filip Ginter, Yves Van de Peer, & Tapio Salakoski. (2011). EVEX: A PubMed-Scale Resource for Homology-Based Generalization of Text Mining Predictions. Ghent University Academic Bibliography (Ghent University). 28–37. 26 indexed citations

14.

Landeghem, Sofie Van, Thomas Abeel, Bernard De Baets, & Yves Van de Peer. (2011). Detecting Entity Relations as a Supporting Task for Bio-Molecular Event Extraction. Meeting of the Association for Computational Linguistics. 147–148. 7 indexed citations

15.

Landeghem, Sofie Van, Sampo Pyysalo, Tomoko Ohta, & Yves Van de Peer. (2010). Integration of Static Relations to Enhance Event Extraction from Text. Ghent University Academic Bibliography (Ghent University). 144–152. 12 indexed citations

16.

Abeel, Thomas, Sofie Van Landeghem, Roser Morante, et al.. (2010). Highlights of the BioTM 2010 workshop on advances in bio text mining. BMC Bioinformatics. 11(S5). 9 indexed citations

17.

Landeghem, Sofie Van, Thomas Abeel, Yvan Saeys, & Yves Van de Peer. (2010). Discriminative and informative features for biomolecular text mining with ensemble feature selection. Bioinformatics. 26(18). i554–i560. 28 indexed citations

18.

Landeghem, Sofie Van, Yvan Saeys, Bernard De Baets, & Yves Van de Peer. (2009). Analyzing text in search of bio-molecular events. 128–128. 22 indexed citations

19.

Landeghem, Sofie Van, Yvan Saeys, Yves Van de Peer, & Bernard De Baets. (2008). Extracting protein-protein interactions from text using rich feature vectors and feature selection. Ghent University Academic Bibliography (Ghent University). 77–84. 48 indexed citations

20.

Landeghem, Sofie Van, Yvan Saeys, Yves Van de Peer, & Bernard De Baets. (2008). Benchmarking machine learning techniques for the extraction of protein-protein interactions from text. Ghent University Academic Bibliography (Ghent University). 79–80. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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