Bruno Gaëta

2.1k total citations
39 papers, 1.4k citations indexed

About

Bruno Gaëta is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bruno Gaëta has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Immunology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bruno Gaëta's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Bruno Gaëta is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Bruno Gaëta collaborates with scholars based in Australia, United States and United Kingdom. Bruno Gaëta's co-authors include Andrew M. Collins, Katherine Jackson, Weihua Fei, Ximing Du, Peng Li, Markus R. Wenk, Guanghou Shui, Robert G. Parton, Hongyuan Yang and Andrew J. Brown and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Bruno Gaëta

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Gaëta Australia 19 903 490 289 287 141 39 1.4k
Bruce A. Macher United States 28 1.8k 2.0× 573 1.2× 47 0.2× 399 1.4× 221 1.6× 68 2.4k
David C. Trudgian United Kingdom 22 1.3k 1.5× 394 0.8× 51 0.2× 84 0.3× 120 0.9× 29 2.0k
Yusuke Miyanari Japan 13 1.1k 1.2× 194 0.4× 202 0.7× 106 0.4× 227 1.6× 27 2.4k
Leon Eidels United States 22 720 0.8× 865 1.8× 42 0.1× 211 0.7× 116 0.8× 44 1.6k
Catherine Kettleborough United Kingdom 15 610 0.7× 270 0.6× 21 0.1× 234 0.8× 41 0.3× 30 1.3k
Sophie Groux‐Degroote France 26 1.3k 1.4× 501 1.0× 21 0.1× 138 0.5× 358 2.5× 45 1.7k
Urban Ramstedt United States 21 337 0.4× 732 1.5× 57 0.2× 178 0.6× 43 0.3× 40 1.4k
Richard S. Rogers United States 21 1.8k 2.0× 199 0.4× 30 0.1× 182 0.6× 147 1.0× 32 2.1k
Paolo Monaci Italy 28 1.9k 2.1× 464 0.9× 47 0.2× 929 3.2× 131 0.9× 53 2.8k
D. B. Thomas Tanzania 24 881 1.0× 698 1.4× 26 0.1× 324 1.1× 120 0.9× 69 1.9k

Countries citing papers authored by Bruno Gaëta

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Gaëta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Gaëta

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Gaëta. A scholar is included among the top collaborators of Bruno Gaëta 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 Bruno Gaëta. Bruno Gaëta 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.
Brooksbank, Cath, Michelle D. Brazas, Nicola Mulder, et al.. (2024). The ISCB competency framework v. 3: a revised and extended standard for bioinformatics education and training. Bioinformatics Advances. 4(1). vbae166–vbae166. 1 indexed citations
2.
Gaëta, Bruno, Henry Walch, Lukáš Kratochvíl, et al.. (2023). The Impact of Co-Alterations on Outcomes after Local Therapy for Patients with KRAS-Mutant Lung Adenocarcinoma Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 117(2). e101–e102. 2 indexed citations
3.
Gaëta, Bruno, et al.. (2022). Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods. PubMed. 3(1). e29404–e29404. 4 indexed citations
4.
Gaëta, Bruno, et al.. (2019). Pairwise alignment of nucleotide sequences using maximal exact matches. BMC Bioinformatics. 20(1). 261–261. 4 indexed citations
5.
Wang, Hong, Weihua Chu, Haiping Hao, et al.. (2018). Chlorogenic acid attenuates virulence factors and pathogenicity of Pseudomonas aeruginosa by regulating quorum sensing. Applied Microbiology and Biotechnology. 103(2). 903–915. 75 indexed citations
6.
Mulder, Nicola, Russell Schwartz, Michelle D. Brazas, et al.. (2018). The development and application of bioinformatics core competencies to improve bioinformatics training and education. PLoS Computational Biology. 14(2). e1005772–e1005772. 59 indexed citations
7.
Berger, Bonnie, Terry Gaasterland, Thomas Lengauer, et al.. (2016). ISCB’s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing. PLoS Computational Biology. 12(3). e1004816–e1004816. 4 indexed citations
8.
Welch, Lonnie R., F. Lewitter, Russell Schwartz, et al.. (2014). Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies. PLoS Computational Biology. 10(3). e1003496–e1003496. 84 indexed citations
9.
Wang, Yan, Katherine Jackson, Janet M. Davies, et al.. (2014). IgE-Associated IGHV Genes from Venom and Peanut Allergic Individuals Lack Mutational Evidence of Antigen Selection. PLoS ONE. 9(2). e89730–e89730. 12 indexed citations
10.
Wang, Yan, Katherine Jackson, Bruno Gaëta, et al.. (2011). Genomic screening by 454 pyrosequencing identifies a new human IGHV gene and sixteen other new IGHV allelic variants. Immunogenetics. 63(5). 259–265. 41 indexed citations
11.
Jackson, Katherine, Zhiliang Chen, Bruno Gaëta, et al.. (2011). IgE Sequences in Individuals Living in an Area of Endemic Parasitism Show Little Mutational Evidence of Antigen Selection. Scandinavian Journal of Immunology. 73(5). 496–504. 29 indexed citations
12.
Ballouz, Sara, Jason Y. Liu, Martin Oti, et al.. (2011). Analysis of genome-wide association study data using the protein knowledge base. BMC Genetics. 12(1). 98–98. 8 indexed citations
13.
Boyd, Scott D., Bruno Gaëta, Katherine Jackson, et al.. (2010). Individual Variation in the Germline Ig Gene Repertoire Inferred from Variable Region Gene Rearrangements. The Journal of Immunology. 184(12). 6986–6992. 184 indexed citations
14.
Chen, Zhiliang, Andrew M. Collins, Yan Wang, & Bruno Gaëta. (2010). Clustering-based identification of clonally-related immunoglobulin gene sequence sets. PubMed. 6(Suppl 1). S4–S4. 30 indexed citations
15.
Catchpoole, Daniel, et al.. (2009). MINER: exploratory analysis of gene interaction networks by machine learning from expression data. BMC Genomics. 10(S3). S17–S17. 11 indexed citations
16.
Jackson, Katherine, Bruno Gaëta, & Andrew M. Collins. (2007). Identifying highly mutated IGHD genes in the junctions of rearranged human immunoglobulin heavy chain genes. Journal of Immunological Methods. 324(1-2). 26–37. 9 indexed citations
17.
Gaëta, Bruno, et al.. (2006). Reconsidering the human immunoglobulin heavy-chain locus:. Immunogenetics. 57(12). 917–925. 20 indexed citations
18.
Collins, Andrew M., et al.. (2004). Partitioning of Rearranged Ig Genes by Mutation Analysis Demonstrates D-D Fusion and V Gene Replacement in the Expressed Human Repertoire. The Journal of Immunology. 172(1). 340–348. 22 indexed citations
19.
Gaëta, Bruno. (2001). Bioinformatics: Sequence, Structure and Databanks. Briefings in Bioinformatics. 2(2). 202–204. 22 indexed citations
20.
Ross, B C, Dianna M. Hocking, Mai B. Margetts, et al.. (2001). Identification of vaccine candidate antigens from a genomic analysis of Porphyromonas gingivalis. Vaccine. 19(30). 4135–4142. 103 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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