Sara Ciucci

531 total citations
8 papers, 276 citations indexed

About

Sara Ciucci is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sara Ciucci has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sara Ciucci's work include Metabolomics and Mass Spectrometry Studies (3 papers), Blood properties and coagulation (1 paper) and Machine Learning in Bioinformatics (1 paper). Sara Ciucci is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Blood properties and coagulation (1 paper) and Machine Learning in Bioinformatics (1 paper). Sara Ciucci collaborates with scholars based in Germany, Italy and United Kingdom. Sara Ciucci's co-authors include Carlo Vittorio Cannistraci, Alessandro Muscoloni, Ginestra Bianconi, Josephine Maria Thomas, Andrej Shevchenko, Susanne Sales, Dimple Kauhanen, Stefan R. Bornstein, Kai Schuhmann and Terhi Vihervaara and has published in prestigious journals such as Nature Communications, Scientific Reports and IEEE Access.

In The Last Decade

Sara Ciucci

8 papers receiving 268 citations

Peers

Sara Ciucci

MB

SNP

AI

CTM

SPECT

Zahra Razaghi‐Moghadam Germany

Nishka Kishore Canada

Bianka Kovács Hungary

Jiancheng Zhong China

Zhijie Qi United States

Jake P. Taylor‐King United Kingdom

Laura Cantini France

Mathisca C. M. de Gunst Netherlands

Keegan Hines United States

Marek Ostaszewski Luxembourg

Zahra Razaghi‐Moghadam Germany

Sara Ciucci

374 ×3.1

MB

97 ×1.6

SNP

50 ×1.5

AI

80 ×2.4

CTM

5 ×0.2

SPECT

Citations per year, relative to Sara Ciucci Sara Ciucci (= 1×) peers Zahra Razaghi‐Moghadam

Countries citing papers authored by Sara Ciucci

Since Specialization

Citations

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

Fields of papers citing papers by Sara Ciucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Ciucci

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

All Works

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8 of 8 papers shown

1.

Durán, Claudio, et al.. (2022). Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms. IEEE Access. 10. 22441–22471. 2 indexed citations

2.

Durán, Claudio, Sara Ciucci, Alessandra Palladini, et al.. (2021). Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome. Nature Communications. 12(1). 1926–1926. 25 indexed citations

3.

Nishi, Masahiro, Takehiro Ogata, Carlo Vittorio Cannistraci, et al.. (2019). Systems Network Genomic Analysis Reveals Cardioprotective Effect of MURC/Cavin‐4 Deletion Against Ischemia/Reperfusion Injury. Journal of the American Heart Association. 8(15). e012047–e012047. 9 indexed citations

4.

Ge, Yan, Philipp Rosendahl, Claudio Durán, et al.. (2019). Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1405–1415. 8 indexed citations

5.

Miendlarzewska, Ewa A., Sara Ciucci, Carlo Vittorio Cannistraci, Daphné Bavelier, & Sophie Schwartz. (2018). Reward-enhanced encoding improves relearning of forgotten associations. Scientific Reports. 8(1). 8557–8557. 3 indexed citations

6.

Muscoloni, Alessandro, Josephine Maria Thomas, Sara Ciucci, Ginestra Bianconi, & Carlo Vittorio Cannistraci. (2017). Machine learning meets complex networks via coalescent embedding in the hyperbolic space. Nature Communications. 8(1). 1615–1615. 108 indexed citations

7.

Ciucci, Sara, Yan Ge, Claudio Durán, et al.. (2017). Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies. Scientific Reports. 7(1). 43946–43946. 38 indexed citations

8.

Sales, Susanne, J. Graessler, Sara Ciucci, et al.. (2016). Gender, Contraceptives and Individual Metabolic Predisposition Shape a Healthy Plasma Lipidome. Scientific Reports. 6(1). 27710–27710. 83 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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