Francesca Grisoni

6.2k total citations · 2 hit papers
89 papers, 3.3k citations indexed

About

Francesca Grisoni is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Francesca Grisoni has authored 89 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Theory and Mathematics, 49 papers in Molecular Biology and 25 papers in Materials Chemistry. Recurrent topics in Francesca Grisoni's work include Computational Drug Discovery Methods (59 papers), Machine Learning in Materials Science (23 papers) and Chemical Synthesis and Analysis (13 papers). Francesca Grisoni is often cited by papers focused on Computational Drug Discovery Methods (59 papers), Machine Learning in Materials Science (23 papers) and Chemical Synthesis and Analysis (13 papers). Francesca Grisoni collaborates with scholars based in Italy, Netherlands and Switzerland. Francesca Grisoni's co-authors include Gisbert Schneider, Roberto Todeschini, Davide Ballabio, Daniel Merk, Lukas Friedrich, Viviana Consonni, Michaël Moret, Derek van Tilborg, José Jiménez-Luna and Nils Weskamp and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Medicine and Nature Communications.

In The Last Decade

Francesca Grisoni

84 papers receiving 3.2k 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.

Artificial intelligence in drug discovery: recent advances and future perspectives

2021 243 citations Francesca Grisoni, Gisbert Schneider et al. profile →
Engineering cytokine therapeutics

2023 132 citations Jeroen Deckers, Anne de Dreu et al. Nature Reviews Bioengineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesca Grisoni Italy	32	1.8k	1.5k	939	351	251	89	3.3k
Nina Jeliazkova United Kingdom	25	1.5k 0.9×	915 0.6×	590 0.6×	215 0.6×	161 0.6×	67	2.7k
Kamel Mansouri United States	25	1.7k 0.9×	1.1k 0.8×	409 0.4×	350 1.0×	130 0.5×	52	4.0k
Hao Zhu United States	42	3.0k 1.7×	2.0k 1.3×	1.2k 1.2×	536 1.5×	404 1.6×	145	6.1k
Anita Rácz Hungary	22	1.0k 0.6×	949 0.6×	363 0.4×	173 0.5×	175 0.7×	58	2.3k
Dávid Bajusz Hungary	21	1.1k 0.6×	1.1k 0.7×	383 0.4×	202 0.6×	177 0.7×	55	2.5k
Jiyao Wang China	13	2.1k 1.2×	2.6k 1.8×	577 0.6×	345 1.0×	560 2.2×	57	5.2k
Chihae Yang United States	25	1.9k 1.1×	1.2k 0.8×	490 0.5×	156 0.4×	208 0.8×	71	3.4k
Hua Gao China	27	1.8k 1.0×	1.5k 1.1×	999 1.1×	177 0.5×	216 0.9×	179	4.5k
Defang Ouyang Macao	38	816 0.5×	1.4k 1.0×	740 0.8×	592 1.7×	223 0.9×	142	4.4k

Countries citing papers authored by Francesca Grisoni

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Grisoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Grisoni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Grisoni. A scholar is included among the top collaborators of Francesca Grisoni 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 Francesca Grisoni. Francesca Grisoni 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

Grisoni, Francesca, et al.. (2025). Going beyond SMILES enumeration for data augmentation in generative drug discovery. Digital Discovery. 4(10). 2752–2764.

Ciriaco, Fulvio, Nicola Gambacorta, Daniela Trisciuzzi, et al.. (2025). fragSMILES as a chemical string notation for advanced fragment and chirality representation. Communications Chemistry. 8(1). 26–26. 5 indexed citations

Ottmann, Christian, et al.. (2025). Identifying 14-3-3 interactome binding sites with deep learning. Digital Discovery. 4(9). 2602–2614.

Gardin, Andrea, Joost L. J. van Dongen, Nadia A. Erkamp, et al.. (2025). Automated navigation of condensate phase behavior with active machine learning. Nature Communications. 16(1). 9598–9598.

Grisoni, Francesca, et al.. (2024). peptidy : a light-weight Python library for peptide representation in machine learning. Bioinformatics Advances. 5(1). vbaf058–vbaf058. 1 indexed citations

Zipoli, Federico, et al.. (2024). Integrating genetic algorithms and language models for enhanced enzyme design. Briefings in Bioinformatics. 26(1). 2 indexed citations

Grisoni, Francesca, et al.. (2024). An explainable foundation model for drug repurposing. Nature Medicine. 30(12). 3422–3423. 1 indexed citations

Grisoni, Francesca, et al.. (2024). A hitchhiker's guide to deep chemical language processing for bioactivity prediction. Digital Discovery. 4(2). 316–325. 7 indexed citations

Grisoni, Francesca, et al.. (2024). nanoFeatures: a cross-platform application to characterize nanoparticles from super-resolution microscopy images. Nanoscale. 16(45). 20885–20892.

10.

Grisoni, Francesca, Petra Schneider, Georg Aichinger, et al.. (2024). Baricitinib and tofacitinib off‐target profile, with a focus on Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(1). e12445–e12445. 6 indexed citations

11.

Tilborg, Derek van, et al.. (2024). Machine learning-guided high throughput nanoparticle design. Digital Discovery. 3(7). 1280–1291. 43 indexed citations

12.

Tilborg, Derek van, et al.. (2024). Deep learning for low-data drug discovery: Hurdles and opportunities. Current Opinion in Structural Biology. 86. 102818–102818. 27 indexed citations

13.

Grisoni, Francesca, et al.. (2023). Identification of fluorescently-barcoded nanoparticles using machine learning. Nanoscale Advances. 5(8). 2307–2317. 3 indexed citations

14.

Deckers, Jeroen, Anne de Dreu, David P. Schrijver, et al.. (2023). Author Correction: Engineering cytokine therapeutics. Nature Reviews Bioengineering. 1(4). 304–304. 1 indexed citations

15.

Grisoni, Francesca, et al.. (2020). Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study. Journal of Chemical Information and Modeling. 60(3). 1215–1223. 37 indexed citations

16.

Grisoni, Francesca, et al.. (2020). Predicting molecular activity on nuclear receptors by multitask neural networks. Journal of Chemometrics. 36(2). 17 indexed citations

17.

Ballabio, Davide, Elisa Robotti, Francesca Grisoni, et al.. (2018). Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey. Food Chemistry. 266. 79–89. 85 indexed citations

18.

Grisoni, Francesca, et al.. (2018). Structural alerts for the identification of bioaccumulative compounds. Integrated Environmental Assessment and Management. 15(1). 19–28. 8 indexed citations

19.

Todeschini, Roberto, Viviana Consonni, Davide Ballabio, & Francesca Grisoni. (2018). Mapping of Activity through Dichotomic Scores (MADS): A new chemoinformatic approach to detect activity‐rich structural regions. Journal of Chemometrics. 32(4). 1 indexed citations

20.

Ballabio, Davide, Francesca Grisoni, Viviana Consonni, & Roberto Todeschini. (2018). Integrated QSAR Models to Predict Acute Oral Systemic Toxicity. Molecular Informatics. 38(8-9). e1800124–e1800124. 32 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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