Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Uberon, an integrative multi-species anatomy ontology
2012441 citationsChris Mungall, Carlo Torniai et al.Genome biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Carlo Torniai'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 Carlo Torniai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Torniai more than expected).
This network shows the impact of papers produced by Carlo Torniai. 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 Carlo Torniai. The network helps show where Carlo Torniai may publish in the future.
Co-authorship network of co-authors of Carlo Torniai
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Torniai.
A scholar is included among the top collaborators of Carlo Torniai 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 Carlo Torniai. Carlo Torniai is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Torniai, Carlo, et al.. (2013). Enabling semantic search in a bio-specimen repository.. 1060. 50–53.1 indexed citations
3.
Schleyer, Titus, Alan Ruttenberg, William D. Duncan, et al.. (2013). An ontology-based method for secondary use of electronic dental record data.. PubMed. 2013. 234–8.8 indexed citations
4.
Haendel, Melissa, et al.. (2013). Eaglei-i: Ontology-driven federated search and data entry tools for discovering biomedical research resources. 1060. 130–131.2 indexed citations
5.
Mungall, Chris, Carlo Torniai, Georgios V. Gkoutos, Suzanna Lewis, & Melissa Haendel. (2012). Uberon, an integrative multi-species anatomy ontology. Genome biology. 13(1). R5–R5.441 indexed citations breakdown →
Brush, Matthew, et al.. (2011). Developing a reagent application ontology within the OBO foundry framework. 833. 234–236.2 indexed citations
9.
Haendel, Melissa, Mark M. J. Wilson, Carlo Torniai, et al.. (2010). Eagle-i: Making Invisible Resources, Visible.. Journal of Biomolecular Techniques JBT. 21.1 indexed citations
Torniai, Carlo, et al.. (2007). The Big Picture: Exploring Cities through Georeferenced Images and RDF Shared Metadata.4 indexed citations
17.
Torniai, Carlo, et al.. (2006). Sharing, discovering and browsing photo collections through RDF geo-metadata.2 indexed citations
18.
Grana, Costantino, Roberto Vezzani, Rita Cucchiara, et al.. (2006). PEANO. IRIS UNIMORE (University of Modena and Reggio Emilia). 793–794.1 indexed citations
19.
Bertini, Marco, Rita Cucchiara, Alberto Del Bimbo, & Carlo Torniai. (2005). Video Annotation with Pictorially Enriched Ontologies. IRIS UNIMORE (University of Modena and Reggio Emilia). 1428–1431.23 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.