Philippe Thomas

1.0k total citations
31 papers, 602 citations indexed

About

Philippe Thomas is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Philippe Thomas has authored 31 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Philippe Thomas's work include Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (10 papers) and Bioinformatics and Genomic Networks (6 papers). Philippe Thomas is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (10 papers) and Bioinformatics and Genomic Networks (6 papers). Philippe Thomas collaborates with scholars based in Germany, United States and Hungary. Philippe Thomas's co-authors include Ulf Leser, Domonkos Tikk, Jörg Hakenberg, Tim Rocktäschel, Mariana Neves, Illés Solt, Hanspeter Herzel, Angela Relógio, Roman Klinger and Johannes Starlinger and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Philippe Thomas

26 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Thomas Germany 12 396 252 125 59 59 31 602
Paul Rigor United States 10 282 0.7× 211 0.8× 156 1.2× 7 0.1× 137 2.3× 12 1.0k
Bruno César Feltes Brazil 15 325 0.8× 96 0.4× 26 0.2× 22 0.4× 44 0.7× 46 558
Haretsugu Hishigaki Japan 15 767 1.9× 172 0.7× 51 0.4× 111 1.9× 77 1.3× 24 1.1k
Jianlin Shao China 9 434 1.1× 62 0.2× 17 0.1× 31 0.5× 20 0.3× 12 610
Kenneth Daily United States 10 318 0.8× 60 0.2× 16 0.1× 43 0.7× 26 0.4× 14 507
Seungbeom Lee South Korea 13 171 0.4× 54 0.2× 30 0.2× 29 0.5× 14 0.2× 63 462
Linda Huang United States 17 973 2.5× 33 0.1× 27 0.2× 97 1.6× 57 1.0× 41 1.3k
Jiong Yang United States 11 317 0.8× 83 0.3× 14 0.1× 39 0.7× 8 0.1× 32 420
Cheryl Wolting Canada 7 398 1.0× 108 0.4× 12 0.1× 17 0.3× 17 0.3× 8 445
Christoph Müssel Germany 10 444 1.1× 46 0.2× 9 0.1× 73 1.2× 33 0.6× 14 566

Countries citing papers authored by Philippe Thomas

Since Specialization
Citations

This map shows the geographic impact of Philippe Thomas'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 Philippe Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Thomas more than expected).

Fields of papers citing papers by Philippe Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Thomas. 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 Philippe Thomas. The network helps show where Philippe Thomas may publish in the future.

Co-authorship network of co-authors of Philippe Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Thomas. A scholar is included among the top collaborators of Philippe Thomas 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 Philippe Thomas. Philippe Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Neves, Mariana, Cristian Grozea, Philippe Thomas, et al.. (2024). Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level. SPIRE - Sciences Po Institutional REpository. 124–138.
2.
Roller, Roland, Philippe Thomas, Simon Moosburner, et al.. (2023). Use and accuracy of decision support systems using artificial intelligence for tumor diseases: a systematic review and meta-analysis. Frontiers in Oncology. 13. 1224347–1224347. 11 indexed citations
3.
Roller, Roland, Philippe Thomas, Simon Moosburner, et al.. (2023). Concordance of a decision algorithm and multidisciplinary team meetings for patients with liver cancer—a study protocol for a randomized controlled trial. Trials. 24(1). 577–577. 8 indexed citations
4.
Hennig, Leonhard, Philippe Thomas, & Sebastian Möller. (2023). MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset. 3785–3801. 3 indexed citations
5.
Neves, Mariana, Antonio Jimeno Yepes, Rachel Bawden, et al.. (2023). Findings of the WMT 2023 Biomedical Translation Shared Task: Evaluation of ChatGPT 3.5 as a Comparison System. SPIRE - Sciences Po Institutional REpository. 43–54.
6.
Li, Jianyu, Pankaj Mishra, Mingjie Gao, et al.. (2020). Automated recognition of functional compound-protein relationships in literature. PLoS ONE. 15(3). e0220925–e0220925. 6 indexed citations
7.
Hakenberg, Jörg, Wei‐Yi Cheng, Philippe Thomas, et al.. (2016). Integrating 400 million variants from 80,000 human samples with extensive annotations: towards a knowledge base to analyze disease cohorts. BMC Bioinformatics. 17(1). 24–24. 7 indexed citations
8.
Grüning, Björn, et al.. (2016). PubMedPortable: A Framework for Supporting the Development of Text Mining Applications. PLoS ONE. 11(10). e0163794–e0163794. 3 indexed citations
9.
Thomas, Philippe, et al.. (2016). SETH detects and normalizes genetic variants in text. Bioinformatics. 32(18). 2883–2885. 27 indexed citations
10.
Relógio, Angela, Philippe Thomas, Silke Reischl, et al.. (2014). Ras-Mediated Deregulation of the Circadian Clock in Cancer. PLoS Genetics. 10(5). e1004338–e1004338. 120 indexed citations
11.
Thomas, Philippe, Mariana Neves, Tim Rocktäschel, & Ulf Leser. (2013). WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting. Joint Conference on Lexical and Computational Semantics. 628–635. 51 indexed citations
12.
Thomas, Philippe, Johannes Starlinger, & Ulf Leser. (2013). Experiences from Developing the Domain-Specific Entity Search Engine GeneView.. BTW. 225–239.
13.
Tikk, Domonkos, Illés Solt, Philippe Thomas, & Ulf Leser. (2013). A detailed error analysis of 13 kernel methods for protein-protein interaction extraction. BMC Bioinformatics. 14(1). 12–12. 30 indexed citations
14.
Klinger, Roman, et al.. (2012). Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 15 indexed citations
15.
Thomas, Philippe, et al.. (2012). GeneView: a comprehensive semantic search engine for PubMed. Nucleic Acids Research. 40(W1). W585–W591. 54 indexed citations
16.
Thomas, Philippe, et al.. (2011). Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text. Meeting of the Association for Computational Linguistics. 1–9. 15 indexed citations
17.
Thomas, Philippe, Illés Solt, Roman Klinger, & Ulf Leser. (2011). Learning Protein Protein Interaction Extraction using Distant Supervision. Publikationen an der Universität Bielefeld (Universität Bielefeld). 25–32. 4 indexed citations
18.
Thomas, Philippe, Roman Klinger, & Ulf Leser. (2011). Learning to Extract Protein-Protein Interactions using Distant Supervision. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2 indexed citations
19.
Thomas, Philippe, Roman Klinger, Laura I. Furlong, Martin Hofmann‐Apitius, & Christoph M. Friedrich. (2011). Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC Bioinformatics. 12(S4). S4–S4. 31 indexed citations
20.
Tikk, Domonkos, et al.. (2010). A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature. PLoS Computational Biology. 6(7). e1000837–e1000837. 133 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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