Guido Sanguinetti

8.1k total citations · 2 hit papers
135 papers, 4.2k citations indexed

About

Guido Sanguinetti is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Guido Sanguinetti has authored 135 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 23 papers in Artificial Intelligence and 17 papers in Genetics. Recurrent topics in Guido Sanguinetti's work include Gene Regulatory Network Analysis (37 papers), Bioinformatics and Genomic Networks (19 papers) and Gene expression and cancer classification (18 papers). Guido Sanguinetti is often cited by papers focused on Gene Regulatory Network Analysis (37 papers), Bioinformatics and Genomic Networks (19 papers) and Gene expression and cancer classification (18 papers). Guido Sanguinetti collaborates with scholars based in United Kingdom, Italy and Germany. Guido Sanguinetti's co-authors include Manfred Opper, Botond Cseke, Robert K. Poole, Neil D. Lawrence, Chantriolnt-Andreas Kapourani, Magnus Rattray, Yuanhua Huang, Vân Anh Huynh‐Thu, Jeffrey Green and Ricard Argelaguet and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Guido Sanguinetti

132 papers receiving 4.1k citations

Hit Papers

align trajectories

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.

scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells

2018 437 citations Stephen J. Clark, Ricard Argelaguet et al. Nature Communications profile →
Advances in Neural Information Processing Systems 26 (NIPS 2013)

2013 351 citations Botond Cseke, Manfred Opper et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guido Sanguinetti United Kingdom	37	2.6k	560	488	355	252	135	4.2k
Hans A. Kestler Germany	45	3.4k 1.3×	534 1.0×	525 1.1×	798 2.2×	301 1.2×	264	7.2k
Olli Yli‐Harja Finland	37	2.7k 1.0×	523 0.9×	430 0.9×	358 1.0×	531 2.1×	230	4.9k
Alexander J. Hartemink United States	33	3.5k 1.4×	695 1.2×	618 1.3×	153 0.4×	223 0.9×	65	4.8k
Holger Fröhlich Germany	35	2.2k 0.9×	293 0.5×	599 1.2×	472 1.3×	178 0.7×	180	4.3k
Jie Chen China	32	2.2k 0.9×	629 1.1×	452 0.9×	323 0.9×	86 0.3×	205	6.4k
David Lin United States	28	2.6k 1.0×	280 0.5×	444 0.9×	168 0.5×	228 0.9×	119	4.7k
Jing Tang China	41	4.1k 1.6×	774 1.4×	336 0.7×	382 1.1×	127 0.5×	206	7.5k
Doheon Lee South Korea	38	4.1k 1.6×	438 0.8×	873 1.8×	464 1.3×	404 1.6×	229	6.9k
Pingzhao Hu Canada	38	2.2k 0.9×	687 1.2×	407 0.8×	668 1.9×	91 0.4×	167	4.3k
Olaf Wolkenhauer Germany	41	3.7k 1.4×	415 0.7×	258 0.5×	1.0k 2.9×	99 0.4×	277	5.6k

Countries citing papers authored by Guido Sanguinetti

Since Specialization

Citations

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

Fields of papers citing papers by Guido Sanguinetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Sanguinetti

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Öcal, Kaan, Guido Sanguinetti, & Ramon Grima. (2023). Model reduction for the Chemical Master Equation: An information-theoretic approach. The Journal of Chemical Physics. 158(11). 114113–114113. 4 indexed citations

Caravagna, Giulio, Timon Heide, Marc Williams, et al.. (2020). Subclonal reconstruction of tumors by using machine learning and population genetics. Nature Genetics. 52(9). 898–907. 57 indexed citations

Rule, Michael E., David Schnoerr, Matthias H. Hennig, & Guido Sanguinetti. (2019). Neural field models for latent state inference: Application to large-scale neuronal recordings. PLoS Computational Biology. 15(11). e1007442–e1007442. 5 indexed citations

Clark, Stephen J., Ricard Argelaguet, Chantriolnt-Andreas Kapourani, et al.. (2018). scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells. Nature Communications. 9(1). 781–781. 437 indexed citations breakdown →

Bortolussi, Luca, et al.. (2016). Smoothed model checking for uncertain Continuous-Time Markov Chains. Information and Computation. 247. 235–253. 19 indexed citations

Wilson, Jayne Louise, Lauren K. Wareham, Samantha McLean, et al.. (2015). CO-Releasing Molecules Have Nonheme Targets in Bacteria: Transcriptomic, Mathematical Modeling and Biochemical Analyses of CORM-3 [Ru(CO) ₃ Cl(glycinate)] Actions on a Heme-Deficient Mutant of Escherichia coli. Antioxidants and Redox Signaling. 23(2). 148–162. 30 indexed citations

McLean, Samantha, et al.. (2013). Analysis of the Bacterial Response to Ru(CO) ₃ Cl(Glycinate) (CORM-3) and the Inactivated Compound Identifies the Role Played by the Ruthenium Compound and Reveals Sulfur-Containing Species as a Major Target of CORM-3 Action. Antioxidants and Redox Signaling. 19(17). 1999–2012. 36 indexed citations

Cseke, Botond, Manfred Opper, & Guido Sanguinetti. (2013). Approximate inference in latent Gaussian-Markov models from continuous time observations. Edinburgh Research Explorer (University of Edinburgh). 26. 971–979. 5 indexed citations

Sanguinetti, Guido, et al.. (2012). A case study on meta-generalising: a Gaussian processes approach. Journal of Machine Learning Research. 13(1). 691–721. 4 indexed citations

10.

Hansen, Katja, et al.. (2012). Multi-task learning for pKa prediction. Journal of Computer-Aided Molecular Design. 26(7). 883–895. 6 indexed citations

11.

Rolfe, Matthew D., Melanie R. Stapleton, Eleanor W. Trotter, et al.. (2012). Systems analysis of transcription factor activities in environments with stable and dynamic oxygen concentrations. Open Biology. 2(7). 120091–120091. 27 indexed citations

12.

Stimberg, Florian, Manfred Opper, Guido Sanguinetti, & Andreas Ruttor. (2011). Inference in continuous-time change-point models. Neural Information Processing Systems. 24. 2717–2725. 3 indexed citations

13.

Opper, Manfred, Andreas Ruttor, & Guido Sanguinetti. (2010). Approximate inference in continuous time Gaussian-Jump processes. Edinburgh Research Explorer (University of Edinburgh). 23. 1831–1839. 13 indexed citations

14.

Lawrence, Neil D., Mark Girolami, Magnus Rattray, & Guido Sanguinetti. (2010). Learning and inference in computational systems biology. Research Explorer (The University of Manchester). 51 indexed citations

15.

Shepherd, Mark, Guido Sanguinetti, Gregory M. Cook, & Robert K. Poole. (2010). Compensations for Diminished Terminal Oxidase Activity in Escherichia coli. Journal of Biological Chemistry. 285(24). 18464–18472. 38 indexed citations

16.

Noirel, Josselin, Saw Yen Ow, Guido Sanguinetti, & Phillip C. Wright. (2009). Systems biology meets synthetic biology: a case study of the metabolic effects of synthetic rewiring. Molecular BioSystems. 5(10). 1214–1223. 9 indexed citations

17.

Cairney, Claire J., Guido Sanguinetti, Andrew Chantry, et al.. (2009). A systems biology approach to Down syndrome: Identification of Notch/Wnt dysregulation in a model of stem cells aging. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1792(4). 353–363. 37 indexed citations

18.

Noirel, Josselin, Saw Yen Ow, Guido Sanguinetti, Alfonso Jaramillo, & Phillip C. Wright. (2008). Automated extraction of meaningful pathways from quantitative proteomics data. Briefings in Functional Genomics and Proteomics. 7(2). 136–146. 14 indexed citations

19.

Clayton, Richard H., et al.. (2008). Computers in Cardiology, 2008. 26 indexed citations

20.

Opper, Manfred & Guido Sanguinetti. (2007). Variational inference for Markov jump processes. Neural Information Processing Systems. 20. 1105–1112. 30 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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