Gabriel Cerono

554 total citations
8 papers, 68 citations indexed

About

Gabriel Cerono is a scholar working on Molecular Biology, Artificial Intelligence and Neurology. According to data from OpenAlex, Gabriel Cerono has authored 8 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Neurology. Recurrent topics in Gabriel Cerono's work include Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Healthcare (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Gabriel Cerono is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Healthcare (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Gabriel Cerono collaborates with scholars based in United States, Italy and Canada. Gabriel Cerono's co-authors include Davide Chicco, Karthik Soman, Charlotte Nelson, Sergio E. Baranzini, Ombretta Melaiu, Peter W. Rose, Davide Cangelosi, Samuel M. Goldman, John H. Morris and Angela Rizk‐Jackson and has published in prestigious journals such as Bioinformatics, Annals of Neurology and Frontiers in Medicine.

In The Last Decade

Gabriel Cerono

6 papers receiving 65 citations

Peers

Gabriel Cerono

AI

MB

HI

RNMI

NEURO

Huifang Lü China

Irina Balaur Luxembourg

Mullai Murugan United States

Vadim Miller United States

Jean-François Rajotte Canada

Matteo Gnocchi Italy

Dennis Eschweiler Germany

Nicole Deflaux United States

Surbhi Bhatnagar United States

Knox Carey United States

Huifang Lü China

Gabriel Cerono

27 ×0.8

AI

44 ×1.8

MB

7 ×0.7

HI

14 ×1.8

RNMI

1 ×0.2

NEURO

Citations per year, relative to Gabriel Cerono Gabriel Cerono (= 1×) peers Huifang Lü

Countries citing papers authored by Gabriel Cerono

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Cerono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Cerono

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

All Works

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8 of 8 papers shown

1.

Cerono, Gabriel, Bruce Cree, Stephen L. Hauser, & Sergio E. Baranzini. (2025). Comparative Safety Profiles of Ocrelizumab and Rituximab in Multiple Sclerosis Treatment Using Real‐World Evidence. Annals of Neurology. 99(1). 248–260.

2.

Soman, Karthik, Peter W. Rose, John H. Morris, et al.. (2024). Biomedical knowledge graph-optimized prompt generation for large language models. Bioinformatics. 40(9). 30 indexed citations

3.

Cerono, Gabriel & Davide Chicco. (2024). Ensemble machine learning reveals key features for diabetes duration from electronic health records. PeerJ Computer Science. 10. e1896–e1896. 3 indexed citations

4.

Cerono, Gabriel, et al.. (2023). Applying centrality analysis on a protein interaction network to predict colorectal cancer driver genes. Journal of Emerging Investigators. 1 indexed citations

5.

Cerono, Gabriel, Ombretta Melaiu, & Davide Chicco. (2023). Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme. PubMed. 8(1). 1–18. 10 indexed citations

6.

Soman, Karthik, Charlotte Nelson, Gabriel Cerono, et al.. (2023). Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph. Frontiers in Medicine. 10. 1081087–1081087. 14 indexed citations

7.

Soman, Karthik, Charlotte Nelson, Gabriel Cerono, & Sergio E. Baranzini. (2022). Time-aware Embeddings of Clinical Data using a Knowledge Graph. PubMed. 28. 97–108. 3 indexed citations

8.

Chicco, Davide, Gabriel Cerono, & Davide Cangelosi. (2022). A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma. Data Science Journal. 21(1). 17–17. 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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