Angela Serra

2.1k total citations · 1 hit paper
55 papers, 1.1k citations indexed

About

Angela Serra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Angela Serra has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Angela Serra's work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (22 papers) and Computational Drug Discovery Methods (15 papers). Angela Serra is often cited by papers focused on Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (22 papers) and Computational Drug Discovery Methods (15 papers). Angela Serra collaborates with scholars based in Finland, Italy and Sweden. Angela Serra's co-authors include Dario Greco, Michele Fratello, Roberto Tagliaferri, Antreas Afantitis, Georgia Melagraki, Antonio Federico, Laura Aliisa Saarimäki, Iseult Lynch, Vittorio Fortino and Anastasios G. Papadiamantis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Nature Nanotechnology.

In The Last Decade

Angela Serra

52 papers receiving 1.0k 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.

Advances in De Novo Drug Design: From Conventional to Machine Learning Methods

2021 207 citations Antreas Afantitis, Angela Serra et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angela Serra Finland	21	550	354	192	80	78	55	1.1k
Stephen J. Capuzzi United States	17	425 0.8×	449 1.3×	124 0.6×	35 0.4×	40 0.5×	27	890
Daniel P. Russo United States	20	509 0.9×	733 2.1×	378 2.0×	100 1.3×	26 0.3×	36	1.5k
Qifeng Bai China	22	745 1.4×	306 0.9×	138 0.7×	102 1.3×	38 0.5×	54	1.3k
Matteo Floris Italy	19	763 1.4×	455 1.3×	83 0.4×	53 0.7×	18 0.2×	57	1.3k
Devesh Srivastava United States	14	488 0.9×	317 0.9×	150 0.8×	61 0.8×	47 0.6×	28	1.2k
Sam Michael United States	22	865 1.6×	434 1.2×	51 0.3×	107 1.3×	40 0.5×	51	1.9k
Aman Chandra Kaushik China	25	923 1.7×	411 1.2×	143 0.7×	72 0.9×	95 1.2×	94	1.7k
Jinglin Yang China	12	695 1.3×	526 1.5×	288 1.5×	67 0.8×	54 0.7×	29	1.1k
Richard Marchese Robinson United Kingdom	15	207 0.4×	317 0.9×	348 1.8×	88 1.1×	16 0.2×	23	864
Yoshinobu Igarashi Japan	15	696 1.3×	224 0.6×	32 0.2×	41 0.5×	33 0.4×	26	1.2k

Countries citing papers authored by Angela Serra

Since Specialization

Citations

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

Fields of papers citing papers by Angela Serra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Serra

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

All Works

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20 of 20 papers shown

Möbus, Lena, et al.. (2025). Two roads to fibrosis: Contrasting initiating mechanisms of Bleomycin and TGFβ-1 in lung fibroblasts. Toxicology. 517. 154233–154233. 1 indexed citations

Fratello, Michele, Giusy del Giudice, Laura Aliisa Saarimäki, et al.. (2025). Nanomaterial grouping: Unraveling the relationship of induced mechanisms and potency at a temporal scale. Nano Today. 61. 102639–102639. 1 indexed citations

Serra, Angela, Michele Fratello, Laura Aliisa Saarimäki, et al.. (2025). BMDx2: A Tool for Integrating Toxicogenomics‐Based Dose‐Dependency Analysis and AOP‐Based Mechanistic Insights. Small Methods. 9(12). e01728–e01728.

Möbus, Lena, et al.. (2025). Endothelial sensitivity to pro-fibrotic signals links systemic exposure to pulmonary fibrosis. Cell Death and Disease. 16(1). 500–500.

Giudice, Giusy del, et al.. (2024). Methylation and transcriptomic profiling reveals short term and long term regulatory responses in polarized macrophages. Computational and Structural Biotechnology Journal. 25. 143–152. 5 indexed citations

Möbus, Lena, et al.. (2024). A Multi‐Dimensional Approach to Map Disease Relationships Challenges Classical Disease Views. Advanced Science. 11(30). e2401754–e2401754. 4 indexed citations

Giudice, Giusy del, Angela Serra, Laura Aliisa Saarimäki, et al.. (2024). A Network Toxicology Approach for Mechanistic Modelling of Nanomaterial Hazard and Adverse Outcomes. Advanced Science. 11(32). e2400389–e2400389. 22 indexed citations

Federico, Antonio, et al.. (2024). Toxicogenomic assessment of in vitro macrophages exposed to profibrotic challenge reveals a sustained transcriptomic immune signature. Computational and Structural Biotechnology Journal. 25. 194–204. 4 indexed citations

Saarimäki, Laura Aliisa, et al.. (2023). A curated gene and biological system annotation of adverse outcome pathways related to human health. Scientific Data. 10(1). 13 indexed citations

10.

Serra, Angela, Laura Aliisa Saarimäki, Giusy del Giudice, et al.. (2023). ESPERANTO: a GLP-field sEmi-SuPERvised toxicogenomics metadAta curatioN TOol. Bioinformatics. 39(6). 1 indexed citations

11.

Saarimäki, Laura Aliisa, et al.. (2023). The in vitro immunomodulatory effect of multi-walled carbon nanotubes by multilayer analysis. NanoImpact. 31. 100476–100476. 5 indexed citations

12.

Saarimäki, Laura Aliisa, et al.. (2022). The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design. Computational and Structural Biotechnology Journal. 20. 4837–4849. 7 indexed citations

13.

Serra, Angela, Michele Fratello, Antonio Federico, et al.. (2021). Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation. Briefings in Bioinformatics. 23(1). 14 indexed citations

14.

Fratello, Michele, Luca Cattelani, Antonio Federico, et al.. (2021). Unsupervised Algorithms for Microarray Sample Stratification. Methods in molecular biology. 2401. 121–146. 2 indexed citations

15.

Serra, Angela, et al.. (2019). An integrated quantitative structure and mechanism of action-activity relationship model of human serum albumin binding. Journal of Cheminformatics. 11(1). 38–38. 17 indexed citations

16.

Li, Chao, Shuo Wang, Angela Serra, et al.. (2019). Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma. European Radiology. 29(9). 4718–4729. 9 indexed citations

17.

Santio, Niina M., Petri Kouvonen, Garry L. Corthals, et al.. (2019). Phosphorylation of NFATC1 at PIM1 target sites is essential for its ability to promote prostate cancer cell migration and invasion. Cell Communication and Signaling. 17(1). 148–148. 21 indexed citations

18.

Scala, Giovanni, Angela Serra, Veer Singh Marwah, Laura Aliisa Saarimäki, & Dario Greco. (2019). FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments. BMC Bioinformatics. 20(1). 79–79. 33 indexed citations

19.

Serra, Angela, Michele Fratello, Vittorio Fortino, et al.. (2015). MVDA: a multi-view genomic data integration methodology. BMC Bioinformatics. 16(1). 261–261. 45 indexed citations

20.

Fratello, Michele, Angela Serra, Vittorio Fortino, et al.. (2015). A multi-view genomic data simulator. BMC Bioinformatics. 16(1). 151–151. 7 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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