Luca Toldo

1.5k total citations
23 papers, 916 citations indexed

About

Luca Toldo is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Luca Toldo has authored 23 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Luca Toldo's work include Biomedical Text Mining and Ontologies (13 papers), Computational Drug Discovery Methods (6 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Luca Toldo is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Computational Drug Discovery Methods (6 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). Luca Toldo collaborates with scholars based in Germany, United Kingdom and United States. Luca Toldo's co-authors include Harsha Gurulingappa, Martin Hofmann‐Apitius, Abdul Mateen Rajput, Juliane Fluck, Clemens Suter‐Crazzolara, Angus Roberts, Yongqun He, Sirarat Sarntivijai, Zuoshuang Xiang and Cui Tao and has published in prestigious journals such as PLoS ONE, Current Opinion in Cell Biology and BMC Bioinformatics.

In The Last Decade

Luca Toldo

22 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Toldo Germany 12 489 388 200 149 56 23 916
Gayo Diallo France 15 281 0.6× 282 0.7× 103 0.5× 82 0.6× 62 1.1× 104 716
Majid Rastegar-Mojarad United States 18 796 1.6× 899 2.3× 149 0.7× 65 0.4× 164 2.9× 48 1.5k
Azadeh Nikfarjam United States 12 421 0.9× 554 1.4× 287 1.4× 505 3.4× 38 0.7× 25 1.4k
Alejandro Metke‐Jimenez Australia 9 217 0.4× 258 0.7× 83 0.4× 95 0.6× 65 1.2× 21 475
Erik M. van Mulligen Netherlands 29 1.2k 2.5× 986 2.5× 254 1.3× 109 0.7× 166 3.0× 107 1.9k
Sarvnaz Karimi Australia 23 364 0.7× 1.0k 2.6× 95 0.5× 102 0.7× 71 1.3× 92 1.6k
Mathias Brochhausen United States 16 462 0.9× 336 0.9× 77 0.4× 32 0.2× 107 1.9× 76 710
Dimitar Hristovski Slovenia 16 792 1.6× 519 1.3× 185 0.9× 24 0.2× 29 0.5× 41 1.1k
Fleur Mougin France 13 270 0.6× 240 0.6× 65 0.3× 84 0.6× 46 0.8× 52 484
Graciela Rosemblat United States 17 615 1.3× 521 1.3× 151 0.8× 26 0.2× 43 0.8× 34 877

Countries citing papers authored by Luca Toldo

Since Specialization
Citations

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

Fields of papers citing papers by Luca Toldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Toldo

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Toldo. A scholar is included among the top collaborators of Luca Toldo 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 Luca Toldo. Luca Toldo 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.
Suter‐Crazzolara, Clemens, et al.. (2018). Digital transformation in healthcare – architectures of present and future information technologies. Clinical Chemistry and Laboratory Medicine (CCLM). 57(3). 328–335. 181 indexed citations
2.
Gurulingappa, Harsha, et al.. (2016). Semi-Supervised Information Retrieval System for Clinical Decision Support.. Text REtrieval Conference. 13 indexed citations
3.
Rajput, Abdul Mateen, Heinz‐Theodor Mevissen, Albert Saiz, et al.. (2015). Knowledge Retrieval from PubMed Abstracts and Electronic Medical Records with the Multiple Sclerosis Ontology. PLoS ONE. 10(2). e0116718–e0116718. 22 indexed citations
4.
He, Yongqun, Sirarat Sarntivijai, Yu Lin, et al.. (2014). OAE: The Ontology of Adverse Events. Journal of Biomedical Semantics. 5(1). 29–29. 91 indexed citations
5.
Pennisi, Marzio, et al.. (2013). Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis. BMC Bioinformatics. 14(S16). S9–S9. 31 indexed citations
6.
Gurulingappa, Harsha, Luca Toldo, Abdul Mateen Rajput, et al.. (2013). Automatic detection of adverse events to predict drug label changes using text and data mining techniques. Pharmacoepidemiology and Drug Safety. 22(11). 1189–1194. 31 indexed citations
7.
Bhattacharya, Sanmitra & Luca Toldo. (2012). Question Answering for Alzheimer Disease Using Information Retrieval.. 2 indexed citations
8.
Gurulingappa, Harsha, Abdul Mateen Rajput, Angus Roberts, et al.. (2012). Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. Journal of Biomedical Informatics. 45(5). 885–892. 266 indexed citations
9.
Gurulingappa, Harsha, et al.. (2012). Extraction of potential adverse drug events from medical case reports. Journal of Biomedical Semantics. 3(1). 15–15. 140 indexed citations
10.
He, Yongqun, et al.. (2012). A 2012 Workshop: Vaccine and Drug Ontology in the Study of Mechanism and Effect (VDOSME 2012). Journal of Biomedical Semantics. 3(1). 12–12. 6 indexed citations
11.
Bailey, David, Elisabeth P. Carpenter, Alun R. Coker, et al.. (2012). An analysis of subdomain orientation, conformational change and disorder in relation to crystal packing of aspartic proteinases. Acta Crystallographica Section D Biological Crystallography. 68(5). 541–552. 5 indexed citations
12.
Younesi, Erfan, Luca Toldo, B. G. Müller, et al.. (2012). Mining biomarker information in biomedical literature. BMC Medical Informatics and Decision Making. 12(1). 148–148. 37 indexed citations
13.
Toldo, Luca & Alexander Scheer. (2011). Finding Patient Visits in EMR Using LUXID. Text REtrieval Conference. 1 indexed citations
14.
He, Yongqun, Zuoshuang Xiang, Sirarat Sarntivijai, Luca Toldo, & Werner Ceusters. (2011). AEO: A realism-based biomedical ontology for the representation of adverse events. 833. 309–315. 21 indexed citations
15.
Toldo, Luca & Friedrich Rippmann. (2005). Integrated bioinformatics application for automated target discovery. Journal of the American Society for Information Science and Technology. 56(5). 483–492. 2 indexed citations
16.
McEntire, Robin, Peter D. Karp, Neil F. Abernethy, et al.. (2000). An evaluation of ontology exchange languages for bioinformatics.. PubMed. 8. 239–50. 22 indexed citations
17.
Pines, Jonathon, Luca Toldo, & Frank Lafont. (1999). Cell multiplication. Current Opinion in Cell Biology. 11(6). 651–652. 1 indexed citations
18.
Pines, Jonathon, Luca Toldo, & Frank Lafont. (1998). Web alert Cell-to-cell contact and extracellular matrix. Current Opinion in Cell Biology. 10(5). 561–561. 1 indexed citations
19.
Pines, Jonathon, Luca Toldo, & Frank Lafont. (1998). Cytoskeleton Web alert. Current Opinion in Cell Biology. 10(1). 11–12. 2 indexed citations
20.
Toldo, Luca. (1997). JaMBW 1.1: Java-based Molecular Biologists' Workbench. Computer applications in the biosciences. 13(4). 475–476. 7 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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