Giulia Babbi

652 total citations
20 papers, 204 citations indexed

About

Giulia Babbi is a scholar working on Molecular Biology, Genetics and Pollution. According to data from OpenAlex, Giulia Babbi has authored 20 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Pollution. Recurrent topics in Giulia Babbi's work include Genomics and Rare Diseases (9 papers), Biomedical Text Mining and Ontologies (4 papers) and Bioinformatics and Genomic Networks (4 papers). Giulia Babbi is often cited by papers focused on Genomics and Rare Diseases (9 papers), Biomedical Text Mining and Ontologies (4 papers) and Bioinformatics and Genomic Networks (4 papers). Giulia Babbi collaborates with scholars based in Italy, United States and Denmark. Giulia Babbi's co-authors include Pier Luigi Martelli, Rita Casadio, Castrense Savojardo, Samuele Bovo, Giuseppe Profiti, Piero Fariselli, Giorgia Palladino, Simone Rampelli, Olivier Lichtarge and Marco Candela and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Giulia Babbi

19 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Babbi Italy 9 151 60 19 15 14 20 204
Runze Dong China 5 212 1.4× 18 0.3× 13 0.7× 6 0.4× 11 0.8× 10 266
Arnab Modak United States 8 238 1.6× 34 0.6× 8 0.4× 46 3.1× 10 0.7× 12 292
Anton V. Endutkin Russia 12 294 1.9× 36 0.6× 27 1.4× 4 0.3× 3 0.2× 35 333
Alexandre Ottaviani France 7 416 2.8× 62 1.0× 13 0.7× 4 0.3× 4 0.3× 8 525
Vincenzo Tragni Italy 9 127 0.8× 11 0.2× 11 0.6× 3 0.2× 25 1.8× 15 265
Vikash Pandey Sweden 8 144 1.0× 15 0.3× 15 0.8× 5 0.3× 7 0.5× 18 193
Zhongren Wu United States 9 123 0.8× 51 0.8× 7 0.4× 9 0.6× 12 0.9× 14 193
Masahiro Hiraizumi Japan 7 276 1.8× 51 0.8× 4 0.2× 5 0.3× 10 0.7× 11 380
Silvia Benevenuta Italy 8 215 1.4× 40 0.7× 11 0.6× 2 0.1× 16 1.1× 10 246

Countries citing papers authored by Giulia Babbi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Babbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Babbi

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Babbi. A scholar is included among the top collaborators of Giulia Babbi 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 Giulia Babbi. Giulia Babbi 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.
2.
Scicchitano, Daniel, Giulia Babbi, Giorgia Palladino, et al.. (2024). Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment. SHILAP Revista de lepidopterología. 6(1). 17–17. 9 indexed citations
3.
Cortés, Farid B., Diana Luise, Giorgia Palladino, et al.. (2023). Influence of body lesion severity on oxidative status and gut microbiota of weaned pigs. animal. 17(6). 100818–100818. 9 indexed citations
4.
Babbi, Giulia, et al.. (2023). MultifacetedProtDB: a database of human proteins with multiple functions. Nucleic Acids Research. 52(D1). D494–D501. 8 indexed citations
5.
Scicchitano, Daniel, Giulia Babbi, Giorgia Palladino, et al.. (2023). Routes of dispersion of antibiotic resistance genes from the poultry farm system. The Science of The Total Environment. 912. 169086–169086. 12 indexed citations
6.
Babbi, Giulia, et al.. (2022). Pathogenic variation types in human genes relate to diseases through Pfam and InterPro mapping. Frontiers in Molecular Biosciences. 9. 966927–966927. 1 indexed citations
7.
Cekanaviciute, Egle, Duc Tran, Hung Nguyen, et al.. (2022). Mouse genomic associations with in vitro sensitivity to simulated space radiation. Life Sciences in Space Research. 36. 47–58. 4 indexed citations
8.
Savojardo, Castrense, et al.. (2022). Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions. Scientific Reports. 12(1). 17963–17963. 2 indexed citations
9.
Savojardo, Castrense, Giulia Babbi, Pier Luigi Martelli, & Rita Casadio. (2021). Mapping OMIM Disease–Related Variations on Protein Domains Reveals an Association Among Variation Type, Pfam Models, and Disease Classes. Frontiers in Molecular Biosciences. 8. 617016–617016. 8 indexed citations
10.
Savojardo, Castrense, et al.. (2021). A Glance into MTHFR Deficiency at a Molecular Level. International Journal of Molecular Sciences. 23(1). 167–167. 1 indexed citations
11.
Babbi, Giulia, Castrense Savojardo, Pier Luigi Martelli, & Rita Casadio. (2021). Huntingtin: A Protein with a Peculiar Solvent Accessible Surface. International Journal of Molecular Sciences. 22(6). 2878–2878. 3 indexed citations
12.
Babbi, Giulia, et al.. (2020). Highlighting Human Enzymes Active in Different Metabolic Pathways and Diseases: The Case Study of EC 1.2.3.1 and EC 2.3.1.9. Biomedicines. 8(8). 250–250. 7 indexed citations
13.
Savojardo, Castrense, Giulia Babbi, Pier Luigi Martelli, & Rita Casadio. (2019). Functional and Structural Features of Disease-Related Protein Variants. International Journal of Molecular Sciences. 20(7). 1530–1530. 13 indexed citations
14.
Babbi, Giulia, Pier Luigi Martelli, & Rita Casadio. (2019). PhenPath: a tool for characterizing biological functions underlying different phenotypes. BMC Genomics. 20(S8). 548–548. 4 indexed citations
15.
Savojardo, Castrense, Giulia Babbi, Samuele Bovo, et al.. (2019). Are machine learning based methods suited to address complex biological problems? Lessons from CAGI‐5 challenges. Human Mutation. 40(9). 1455–1462. 4 indexed citations
16.
Zhang, Jing, Lisa N. Kinch, Qian Cong, et al.. (2019). Assessing predictions on fitness effects of missense variants in calmodulin. Human Mutation. 40(9). 1463–1473. 7 indexed citations
17.
Pejaver, Vikas, Giulia Babbi, Rita Casadio, et al.. (2019). Assessment of methods for predicting the effects of PTEN and TPMT protein variants. Human Mutation. 40(9). 1495–1506. 13 indexed citations
18.
Babbi, Giulia, Pier Luigi Martelli, Giuseppe Profiti, et al.. (2017). eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes. BMC Genomics. 18(S5). 554–554. 50 indexed citations
19.
Xu, Qifang, Panagiotis Katsonis, Olivier Lichtarge, et al.. (2017). Benchmarking predictions of allostery in liver pyruvate kinase in CAGI4. Human Mutation. 38(9). 1123–1131. 14 indexed citations
20.
Martelli, Pier Luigi, et al.. (2016). Large scale analysis of protein stability in OMIM disease related human protein variants. BMC Genomics. 17(S2). 397–397. 35 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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