Federico De Masi

3.8k total citations
18 papers, 1.5k citations indexed

About

Federico De Masi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Federico De Masi has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Federico De Masi's work include Machine Learning in Bioinformatics (3 papers), Bioinformatics and Genomic Networks (3 papers) and Protein Structure and Dynamics (2 papers). Federico De Masi is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Bioinformatics and Genomic Networks (3 papers) and Protein Structure and Dynamics (2 papers). Federico De Masi collaborates with scholars based in Denmark, United States and Italy. Federico De Masi's co-authors include Martha L. Bulyk, Daniel E. Newburger, Albertha J.M. Walhout, Christian A Grove, Luís Serrano, Toby J. Gibson, Joe Lewis, Alexander Stark, Rune Linding and Mark J. Alkema and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Federico De Masi

17 papers receiving 1.5k citations

Peers

Countries citing papers authored by Federico De Masi

Since Specialization

Citations

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

Fields of papers citing papers by Federico De Masi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico De Masi. 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 Federico De Masi. The network helps show where Federico De Masi may publish in the future.

Co-authorship network of co-authors of Federico De Masi

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Point cloud segmentation for 3D Clothed Human Layering 2025 ·Computers & Graphics ·(unknown), Federico De Masi, (unknown), Umberto Castellani	1
2	Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans 2025 ·Investigative Radiology ·Liesbeth Degand, (unknown), Alexandre Bône, (unknown), Davide Placido, Piotr Jaroslaw Chmura, Marc-Michel Rohé, Federico De Masi, Søren Brunak	0
3	Ibuprofen alters human testicular physiology to produce a state of compensated hypogonadism 2018 ·Proceedings of the National Academy of Sciences ·David M. Kristensen, Christèle Lethimonier, Abigail L. Mackey, Marlene Dalgaard, Federico De Masi, (unknown), Bjarne Styrishave, Jean‐Philippe Antignac, Bruno Le Bizec, (unknown), Anders Hay‐Schmidt, Tina Kold Jensen, Laurianne Lesné, Séverine Mazaud‐Guittot, Karsten Kristiansen, (unknown), Michael Kjær, Anders Juul, Bernard Jégou	91
4	The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project 2018 ·SHILAP Revista de lepidopterología ·Harriet Teare, Federico De Masi, Karina Banasik, Anna Barnett, (unknown), Bernd Jablonka, Jacqueline Postma, Timothy J. McDonald, Ian Forgie, Piotr Jaroslaw Chmura, (unknown), Ramneek Gupta, Søren Brunak, Ewan R. Pearson, Jane Kaye	8
5	miRandola 2017: a curated knowledge base of non-invasive biomarkers 2017 ·Nucleic Acids Research ·Francesco Russo, Sebastiano Di Bella, Federica Vannini, (unknown), Flavia Scoyni, Helen Cook, Alberto Santos, Giovanni Nigita, Vincenzo Bonnici, Alessandro Laganà, Filippo Geraci, Alfredo Pulvirenti, Rosalba Giugno, Federico De Masi, Kirstine Belling, Lars Juhl Jensen, Søren Brunak, Marco Pellegrini, Alfredo Ferro	64
6	Cross-recognition of a pit viper (Crotalinae) polyspecific antivenom explored through high-density peptide microarray epitope mapping 2017 ·PLoS neglected tropical diseases ·Mikael Engmark, Bruno Lomonte, José Marı́a Gutiérrez, Andreas H. Laustsen, Federico De Masi, Mikael Rørdam Andersen, Ole Lund	14
7	High-throughput immuno-profiling of mamba (Dendroaspis) venom toxin epitopes using high-density peptide microarrays 2016 ·Scientific Reports ·Mikael Engmark, Mikael Rørdam Andersen, Andreas H. Laustsen, Jigar Patel, Eric Sullivan, Federico De Masi, Christian Hansen, Jens Vindahl Kringelum, Bruno Lomonte, José Marı́a Gutiérrez, Ole Lund	32
8	Control of lysosomal biogenesis and Notch-dependent tissue patterning by components of the TFEB-V-ATPase axis inDrosophila melanogaster 2016 ·Autophagy ·(unknown), (unknown), Ilaria Busi, Arianna Fumagalli, Federico De Masi, Thomas Vaccari	37
9	High-throughput sequencing enhanced phage display enables the identification of patient-specific epitope motifs in serum 2015 ·Scientific Reports ·Anders Christiansen, Jens Vindahl Kringelum, Christian Hansen, Katrine Lindholm Bøgh, Eric Sullivan, Jigar Patel, Neil M. Rigby, Thomas Eiwegger, Zsolt Szépfalusi, Federico De Masi, Morten Nielsen, Ole Lund, Martin Dufva	62
10	A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors inArabidopsis thaliana 2014 ·Nucleic Acids Research ·Søren Lindemose, Michael K. Jensen, Jan Van de Velde, Charlotte O’Shea, Ken S. Heyndrickx, Christopher T. Workman, Klaas Vandepoele, Karen Skriver, Federico De Masi	87
11	ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana 2013 ·FEBS Open Bio ·Michael K. Jensen, Søren Lindemose, Federico De Masi, Julia J. Reimer, Michael Martin Nielsen, (unknown), Christopher T. Workman, Franziska Turck, Murray Grant, John Mundy, Morten Petersen, Karen Skriver	166
12	Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants 2011 ·Nucleic Acids Research ·Federico De Masi, Christian A Grove, Anastasia Vedenko, Andreu Alibés, Stephen S. Gisselbrecht, Luís Serrano, Martha L. Bulyk, Albertha J.M. Walhout	66
13	Using protein design algorithms to understand the molecular basis of disease caused by protein–DNA interactions: the Pax6 example 2010 ·Nucleic Acids Research ·Andreu Alibés, Alejandro D. Nadra, Federico De Masi, Martha L. Bulyk, Luís Serrano, François Stricher	50
14	A Multiparameter Network Reveals Extensive Divergence between C. elegans bHLH Transcription Factors 2009 ·Cell ·Christian A Grove, Federico De Masi, M. Inmaculada Barrasa, Daniel E. Newburger, Mark J. Alkema, Martha L. Bulyk, Albertha J.M. Walhout	205
15	High-resolution DNA-binding specificity analysis of yeast transcription factors 2009 ·Genome Research ·Cong Zhu, Kelsey J.R.P. Byers, Rachel Patton McCord, Zhenwei Shi, Michael F. Berger, Daniel E. Newburger, (unknown), Zachary D. Smith, (unknown), (unknown), Anthony Philippakis, Yanhui Hu, Federico De Masi, Marcin Pacek, Andreas Rolfs, Tal V. Murthy, Joshua LaBaer, Martha L. Bulyk	322
16	High throughput production of mouse monoclonal antibodies using antigen microarrays 2005 ·PROTEOMICS ·Federico De Masi, Pieranna Chiarella, Heike Wilhelm, Marzia Massimi, Belinda Bullard, Wilhelm Ansorge, Alan Sawyer	62
17	Systematic Discovery of New Recognition Peptides Mediating Protein Interaction Networks 2005 ·PLoS Biology ·Victor Neduva, Rune Linding, (unknown), Alexander Stark, Federico De Masi, Toby J. Gibson, Joe Lewis, Luís Serrano, Robert B. Russell	254
18	Systematic Discovery of New Recognition Peptides Mediating Protein Interaction 2005 ·(unknown), Rune Linding, (unknown), Alexander Stark, Federico De Masi, Toby J. Gibson, Joe Lewis, Luís Serrano, Robert B. Russell	13

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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