Raphael Petegrosso

413 total citations
8 papers, 262 citations indexed

About

Raphael Petegrosso is a scholar working on Molecular Biology, Computational Mathematics and Artificial Intelligence. According to data from OpenAlex, Raphael Petegrosso has authored 8 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Computational Mathematics and 1 paper in Artificial Intelligence. Recurrent topics in Raphael Petegrosso's work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Single-cell and spatial transcriptomics (2 papers). Raphael Petegrosso is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Single-cell and spatial transcriptomics (2 papers). Raphael Petegrosso collaborates with scholars based in United States, Russia and France. Raphael Petegrosso's co-authors include Rui Kuang, Zhuliu Li, Sunho Park, Tae Hyun Hwang, David Bernlohr, Tong Zhou, Wendy Hahn, Amy K. Hauck, Cindy Eide and John Garbe and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Proteins Structure Function and Bioinformatics.

In The Last Decade

Raphael Petegrosso

7 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Petegrosso United States 5 186 52 34 27 22 8 262
Jialin Zhang China 8 185 1.0× 22 0.4× 37 1.1× 24 0.9× 36 1.6× 16 299
Vivek Das United States 7 238 1.3× 46 0.9× 17 0.5× 22 0.8× 10 0.5× 19 352
Siyuan Chen Saudi Arabia 7 160 0.9× 44 0.8× 36 1.1× 33 1.2× 26 1.2× 11 235
Hanshuang Li China 11 223 1.2× 39 0.8× 41 1.2× 14 0.5× 15 0.7× 25 320
Zhuliu Li United States 5 177 1.0× 45 0.9× 34 1.0× 24 0.9× 27 1.2× 9 253
Jiayuan Zhong China 12 235 1.3× 58 1.1× 20 0.6× 24 0.9× 19 0.9× 35 358
Tai-Yun Kim Australia 11 237 1.3× 40 0.8× 40 1.2× 13 0.5× 27 1.2× 29 369
Francisco Salavert Spain 12 322 1.7× 72 1.4× 11 0.3× 21 0.8× 21 1.0× 14 409

Countries citing papers authored by Raphael Petegrosso

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Petegrosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Petegrosso

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

All Works

8 of 8 papers shown
1.
Li, Zhuliu, Raphael Petegrosso, Shaden Smith, et al.. (2021). Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. IEEE Transactions on Knowledge and Data Engineering. 34(12). 5964–5978. 3 indexed citations
2.
Petegrosso, Raphael, et al.. (2020). Hierarchical Canonical Correlation Analysis Reveals Phenotype, Genotype, and Geoclimate Associations in Plants. Plant Phenomics. 2020. 1969142–1969142.
3.
Zhang, Wei, Raphael Petegrosso, Jiao Sun, et al.. (2020). A large-scale comparative study of isoform expressions measured on four platforms. BMC Genomics. 21(1). 272–272. 7 indexed citations
4.
Petegrosso, Raphael, et al.. (2019). Scalable remote homology detection and fold recognition in massive protein networks. Proteins Structure Function and Bioinformatics. 87(6). 478–491. 3 indexed citations
5.
Petegrosso, Raphael, Zhuliu Li, & Rui Kuang. (2019). Machine learning and statistical methods for clustering single-cell RNA-sequencing data. Briefings in Bioinformatics. 21(4). 1209–1223. 175 indexed citations
6.
Lee, Catherine, Zhuliu Li, John Garbe, et al.. (2018). A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa. PLoS Computational Biology. 14(4). e1006053–e1006053. 24 indexed citations
7.
Hauck, Amy K., Tong Zhou, Wendy Hahn, et al.. (2018). Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins. Journal of Biological Chemistry. 293(35). 13464–13476. 19 indexed citations
8.
Petegrosso, Raphael, Sunho Park, Tae Hyun Hwang, & Rui Kuang. (2016). Transfer learning across ontologies for phenome–genome association prediction. Bioinformatics. 33(4). 529–536. 31 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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2026