Stefano Rensi

1.3k total citations · 1 hit paper
10 papers, 804 citations indexed

About

Stefano Rensi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Stefano Rensi has authored 10 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Stefano Rensi's work include Biomedical and Engineering Education (3 papers), Computational Drug Discovery Methods (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Stefano Rensi is often cited by papers focused on Biomedical and Engineering Education (3 papers), Computational Drug Discovery Methods (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Stefano Rensi collaborates with scholars based in United States and France. Stefano Rensi's co-authors include Russ B. Altman, Wen Torng, Adam Lavertu, Kathleen M. Giacomini, Bianca Vora, Aleksandra K. Denisin, Stephen R. Quake, Nate Cira, Ingmar H. Riedel‐Kruse and Roselie A. Bright and has published in prestigious journals such as PLoS Biology, Cell Reports and Clinical Pharmacology & Therapeutics.

In The Last Decade

Stefano Rensi

10 papers receiving 782 citations

Hit Papers

Machine learning in chemoinformatics and drug discovery 2018 2026 2020 2023 2018 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning in chemoinformatics and drug discovery
    2018 629 citations Stefano Rensi, Wen Torng et al. Drug Discovery Today profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Rensi United States 7 493 375 201 62 55 10 804
Marleen De Veij United Kingdom 9 541 1.1× 577 1.5× 229 1.1× 67 1.1× 70 1.3× 11 1.4k
Eloy Félix United Kingdom 6 625 1.3× 545 1.5× 230 1.1× 88 1.4× 68 1.2× 11 1.0k
Ana C. Puhl United States 16 378 0.8× 494 1.3× 165 0.8× 88 1.4× 72 1.3× 48 1.0k
Vishal B. Siramshetty United States 16 488 1.0× 443 1.2× 88 0.4× 67 1.1× 49 0.9× 24 848
Miquel Duran‐Frigola Spain 19 394 0.8× 696 1.9× 176 0.9× 76 1.2× 63 1.1× 46 1.2k
Eva Nittinger Sweden 13 428 0.9× 543 1.4× 263 1.3× 65 1.0× 92 1.7× 28 901
Florian Flachsenberg Germany 12 541 1.1× 662 1.8× 293 1.5× 111 1.8× 112 2.0× 20 1.1k
Fangjin Chen China 10 310 0.6× 431 1.1× 100 0.5× 58 0.9× 62 1.1× 17 795
Jeff Blaney United States 7 392 0.8× 342 0.9× 179 0.9× 45 0.7× 88 1.6× 10 680
Stephen J. Barigye Spain 19 636 1.3× 477 1.3× 169 0.8× 54 0.9× 197 3.6× 78 1.1k

Countries citing papers authored by Stefano Rensi

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Rensi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Rensi

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

All Works

10 of 10 papers shown
1.
Durairaj, Aarooran S., Roeland Vanhauwaert, Li Li, et al.. (2023). A mitochondrial inside-out iron-calcium signal reveals drug targets for Parkinson’s disease. Cell Reports. 42(12). 113544–113544. 18 indexed citations
2.
Chen, Binbin, Amit Kaushal, Adam Lavertu, et al.. (2021). Repurposing biomedical informaticians for COVID-19. Journal of Biomedical Informatics. 115. 103673–103673. 1 indexed citations
3.
Lavertu, Adam, Bianca Vora, Kathleen M. Giacomini, Russ B. Altman, & Stefano Rensi. (2021). A New Era in Pharmacovigilance: Toward Real‐World Data and Digital Monitoring. Clinical Pharmacology & Therapeutics. 109(5). 1197–1202. 66 indexed citations
4.
Fecho, Karamarie, James P. Balhoff, Chris Bizon, et al.. (2021). Application of MCAT questions as a testing tool and evaluation metric for knowledge graph–based reasoning systems. Clinical and Translational Science. 14(5). 1719–1724. 1 indexed citations
5.
Lee, Samuel, et al.. (2021). Quantification of US Food and Drug Administration Premarket Approval Statements for High-Risk Medical Devices With Pediatric Age Indications. JAMA Network Open. 4(6). e2112562–e2112562. 15 indexed citations
6.
Rensi, Stefano, et al.. (2018). Machine learning in chemoinformatics and drug discovery. Drug Discovery Today. 23(8). 1538–1546. 629 indexed citations breakdown →
7.
Rensi, Stefano & Russ B. Altman. (2017). Flexible Analog Search with Kernel PCA Embedded Molecule Vectors. Computational and Structural Biotechnology Journal. 15. 320–327. 4 indexed citations
8.
Rensi, Stefano, et al.. (2017). Chemical reaction vector embeddings: towards predicting drug metabolism in the human gut microbiome. PubMed. 23. 56–67. 15 indexed citations
9.
Rensi, Stefano & Russ B. Altman. (2017). Shallow Representation Learning via Kernel PCA Improves QSAR Modelability. Journal of Chemical Information and Modeling. 57(8). 1859–1867. 13 indexed citations
10.
Cira, Nate, et al.. (2015). A Biotic Game Design Project for Integrated Life Science and Engineering Education. PLoS Biology. 13(3). e1002110–e1002110. 42 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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