Luca Toldo
- Molecular Biology
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Toxicology top 1%
- Health Information Management top 5%
- Co-authors
- Harsha GurulingappaMartin Hofmann‐ApitiusAbdul Mateen RajputJuliane FluckClemens Suter‐CrazzolaraAngus RobertsYongqun HeSirarat Sarntivijai
- Topics
- Biomedical Text Mining and Ontologies (13 papers)Computational Drug Discovery Methods (6 papers)Pharmacovigilance and Adverse Drug Reactions (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Luca Toldo
22 papers receiving 861 citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 489
- Artificial Intelligence 388
- Computational Theory and Mathematics 200
- Toxicology 149
- Health Information Management 56
Countries citing papers authored by Luca Toldo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 181 | |
| 2 | Semi-Supervised Information Retrieval System for Clinical Decision Support. | 13 |
| 3 | 22 | |
| 4 | 91 | |
| 5 | 31 | |
| 6 | 31 | |
| 7 | Question Answering for Alzheimer Disease Using Information Retrieval. | 2 |
| 8 | 266 | |
| 9 | 140 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 37 | |
| 13 | Finding Patient Visits in EMR Using LUXID | 1 |
| 14 | AEO: A realism-based biomedical ontology for the representation of adverse events | 21 |
| 15 | 2 | |
| 16 | An evaluation of ontology exchange languages for bioinformatics. | 22 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 7 |
About Luca Toldo
Luca Toldo is a scholar working on Toxicology, Health Informatics and Health Information Management, having authored 23 papers that have together received 916 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Computational Drug Discovery Methods (6 papers) and Pharmacovigilance and Adverse Drug Reactions (4 papers). The work is most often cited by research in Toxicology (149 citations), Health Informatics (31 citations) and Computational Theory and Mathematics (200 citations). Luca Toldo has collaborated with scholars based in Germany, United Kingdom and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Current Opinion in Cell Biology and BMC Bioinformatics.
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.