Vincent Rubinetti

507 total citations · 1 hit paper
8 papers, 118 citations indexed

About

Vincent Rubinetti is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Vincent Rubinetti has authored 8 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Information Systems and Management and 2 papers in Artificial Intelligence. Recurrent topics in Vincent Rubinetti's work include Bioinformatics and Genomic Networks (3 papers), Academic Publishing and Open Access (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Vincent Rubinetti is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Academic Publishing and Open Access (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Vincent Rubinetti collaborates with scholars based in United States. Vincent Rubinetti's co-authors include Casey S. Greene, Daniel Himmelstein, Michael Zietz, Gregory P. Way, Anthony Gitter, Venkat S. Malladi, David R. Slochower, David N. Nicholson, Daniel McDonald and Sean Davis and has published in prestigious journals such as Cell, Nucleic Acids Research and PLoS Biology.

In The Last Decade

Vincent Rubinetti

7 papers receiving 117 citations

Hit Papers

Integration of 168,000 samples reveals global patterns of... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Rubinetti United States 5 69 15 13 13 11 8 118
Sara Y. Nussbeck Germany 9 42 0.6× 11 0.7× 26 2.0× 12 0.9× 28 2.5× 21 219
Tiago Lubiana Brazil 7 121 1.8× 37 2.5× 14 1.1× 19 1.5× 9 0.8× 16 210
Raunaq Malhotra United States 6 104 1.5× 10 0.7× 19 1.5× 17 1.3× 11 1.0× 13 147
Xingjun Pi United Kingdom 4 53 0.8× 21 1.4× 15 1.2× 10 0.8× 15 1.4× 4 82
Irina Balaur Luxembourg 7 97 1.4× 13 0.9× 14 1.1× 6 0.5× 3 0.3× 19 141
Allegra Via United Kingdom 6 166 2.4× 10 0.7× 40 3.1× 13 1.0× 26 2.4× 14 194
Karen Kennedy United Kingdom 5 63 0.9× 11 0.7× 15 1.2× 22 1.7× 14 1.3× 5 132
Melissa Harrison United Kingdom 5 36 0.5× 5 0.3× 52 4.0× 4 0.3× 49 4.5× 7 113
Maria Chatzou Spain 5 189 2.7× 34 2.3× 34 2.6× 35 2.7× 28 2.5× 7 262
Varuni Sarwal United States 4 60 0.9× 8 0.5× 19 1.5× 14 1.1× 12 1.1× 9 77

Countries citing papers authored by Vincent Rubinetti

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Rubinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Rubinetti

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Rubinetti. A scholar is included among the top collaborators of Vincent Rubinetti 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 Vincent Rubinetti. Vincent Rubinetti 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.
Weisburd, Ben, Egor Dolzhenko, Vincent Rubinetti, et al.. (2025). STRchive: a dynamic resource detailing population-level and locus-specific insights at tandem repeat disease loci. Genome Medicine. 17(1). 29–29. 1 indexed citations
2.
Abdill, Richard J., Vincent Rubinetti, Daniel McDonald, et al.. (2025). Integration of 168,000 samples reveals global patterns of the human gut microbiome. Cell. 188(4). 1100–1118.e17. 24 indexed citations breakdown →
3.
Ávila, Ricardo E., Vincent Rubinetti, Xinghua Zhou, et al.. (2023). MyGeneset.info: an interactive and programmatic platform for community-curated and user-created collections of genes. Nucleic Acids Research. 51(W1). W350–W356.
4.
Nicholson, David N., Faisal Alquaddoomi, Vincent Rubinetti, & Casey S. Greene. (2023). Changing word meanings in biomedical literature reveal pandemics and new technologies. BioData Mining. 16(1). 16–16. 2 indexed citations
5.
Himmelstein, Daniel, Michael Zietz, Vincent Rubinetti, et al.. (2022). Hetnet connectivity search provides rapid insights into how biomedical entities are related. GigaScience. 12. 6 indexed citations
6.
Nicholson, David N., et al.. (2022). Examining linguistic shifts between preprints and publications. PLoS Biology. 20(2). e3001470–e3001470. 9 indexed citations
7.
Way, Gregory P., Michael Zietz, Vincent Rubinetti, Daniel Himmelstein, & Casey S. Greene. (2020). Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations. Genome biology. 21(1). 109–109. 36 indexed citations
8.
Himmelstein, Daniel, Vincent Rubinetti, David R. Slochower, et al.. (2019). Open collaborative writing with Manubot. PLoS Computational Biology. 15(6). e1007128–e1007128. 40 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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