Stefano Acali

1.7k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Stefano Acali is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Stefano Acali has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in Stefano Acali's work include Molecular Biology Techniques and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cell Image Analysis Techniques (3 papers). Stefano Acali is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cell Image Analysis Techniques (3 papers). Stefano Acali collaborates with scholars based in Switzerland, Italy and United States. Stefano Acali's co-authors include Riccardo Cortese, Alessandra Vitelli, Helenia Ansuini, Alfredo Nicosia, Elisa Scarselli, Rosa Maria Roccasecca, Cinzia Traboni, Gessica Filocamo, Monica Pezzanera and Annalisa Meola and has published in prestigious journals such as The EMBO Journal, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Stefano Acali

13 papers receiving 1.3k 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.

The human scavenger receptor class B type I is a novel candidate receptor for the hepatitis C virus

2002 912 citations Elisa Scarselli, Helenia Ansuini et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Acali Switzerland	11	907	740	347	263	147	13	1.3k
Daisuke Akazawa Japan	16	658 0.7×	522 0.7×	151 0.4×	210 0.8×	75 0.5×	25	906
Vicky M.-H. Sung United States	12	1.1k 1.2×	784 1.1×	155 0.4×	300 1.1×	151 1.0×	14	1.6k
Jingyu Diao Canada	13	353 0.4×	403 0.5×	112 0.3×	373 1.4×	18 0.1×	17	950
Xijun Song China	12	558 0.6×	246 0.3×	46 0.1×	927 3.5×	19 0.1×	14	1.6k
Kazumasa Hiroishi Japan	20	583 0.6×	453 0.6×	69 0.2×	250 1.0×	119 0.8×	44	1.5k
Akihiro Furusaka Japan	11	852 0.9×	770 1.0×	156 0.4×	314 1.2×	56 0.4×	16	1.1k
H. Gallati Switzerland	13	120 0.1×	175 0.2×	98 0.3×	216 0.8×	55 0.4×	35	1.1k
Urania Georgopoulou Greece	18	441 0.5×	435 0.6×	56 0.2×	397 1.5×	42 0.3×	55	1.0k
Timothy C. Rodell United States	17	252 0.3×	356 0.5×	64 0.2×	328 1.2×	64 0.4×	36	1.2k
Colette Charland United States	15	117 0.1×	206 0.3×	26 0.1×	288 1.1×	80 0.5×	21	1.1k

Countries citing papers authored by Stefano Acali

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Acali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Acali

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

All Works

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13 of 13 papers shown

1.

Marescotti, Diego, Carole Mathis, Vincenzo Belcastro, et al.. (2019). Systems toxicology assessment of a representative e-liquid formulation using human primary bronchial epithelial cells. Toxicology Reports. 7. 67–80. 15 indexed citations

2.

Belcastro, Vincenzo, Diego Marescotti, Stefano Acali, et al.. (2019). GladiaTOX: GLobal Assessment of Dose-IndicAtor in TOXicology. Bioinformatics. 35(20). 4190–4192. 2 indexed citations

3.

Poussin, Carine, Athanasios Kondylis, Diego Marescotti, et al.. (2018). In vitro systems toxicology-based assessment of the potential modified risk tobacco product CHTP 1.2 for vascular inflammation- and cytotoxicity-associated mechanisms promoting adhesion of monocytic cells to human coronary arterial endothelial cells. Food and Chemical Toxicology. 120. 390–406. 15 indexed citations

4.

González-Suárez, Ignacio, Diego Marescotti, Florian Martin, et al.. (2017). In Vitro Systems Toxicology Assessment of Nonflavored e-Cigarette Liquids in Primary Lung Epithelial Cells. 3(1). 41–55. 21 indexed citations

5.

Marescotti, Diego, Stefano Acali, Alexandra Laurent, et al.. (2016). High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC). Journal of Visualized Experiments. 17 indexed citations

6.

Marescotti, Diego, Stefano Acali, Alexandra Laurent, et al.. (2016). High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC). Journal of Visualized Experiments. 4 indexed citations

7.

González-Suárez, Ignacio, Florian Martin, Diego Marescotti, et al.. (2015). In Vitro Systems Toxicology Assessment of a Candidate Modified Risk Tobacco Product Shows Reduced Toxicity Compared to That of a Conventional Cigarette. Chemical Research in Toxicology. 29(1). 3–18. 52 indexed citations

8.

González-Suárez, Ignacio, Alain Sewer, Paul Walker, et al.. (2014). Systems Biology Approach for Evaluating the Biological Impact of Environmental Toxicantsin Vitro. Chemical Research in Toxicology. 27(3). 367–376. 24 indexed citations

9.

Zucconi, Adriana, Mario Cioce, Annalisa Meola, et al.. (2011). Isolation of Fully Human Antagonistic RON Antibodies Showing Efficient Block of Downstream Signaling and Cell Migration. Translational Oncology. 4(1). 38–IN2. 12 indexed citations

10.

Ansuini, Helenia, Annalisa Meola, Monica Pezzanera, et al.. (2009). Anti-EphA2 Antibodies with Distinct In Vitro Properties Have Equal In Vivo Efficacy in Pancreatic Cancer. Journal of Oncology. 2009. 1–10. 25 indexed citations

11.

Ansuini, Helenia, Alessandra Vitelli, Annalisa Meola, et al.. (2003). Binding of the Hepatitis C Virus E2 Glycoprotein to CD81 Is Strain Specific and Is Modulated by a Complex Interplay between Hypervariable Regions 1 and 2. Journal of Virology. 77(3). 1856–1867. 137 indexed citations

12.

Scarselli, Elisa, Helenia Ansuini, Rosa Maria Roccasecca, et al.. (2002). The human scavenger receptor class B type I is a novel candidate receptor for the hepatitis C virus. The EMBO Journal. 21(19). 5017–5025. 912 indexed citations breakdown →

13.

Bianchi, Elisabetta, Antonella Folgori, Andrew Wallace, et al.. (1995). A Conformationally Homogeneous Combinatorial Peptide Library. Journal of Molecular Biology. 247(2). 154–160. 65 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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