Giovanni Stracquadanio

3.6k total citations · 1 hit paper
36 papers, 888 citations indexed

About

Giovanni Stracquadanio is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Giovanni Stracquadanio has authored 36 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Giovanni Stracquadanio's work include RNA and protein synthesis mechanisms (11 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Giovanni Stracquadanio is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Giovanni Stracquadanio collaborates with scholars based in United Kingdom, United States and Italy. Giovanni Stracquadanio's co-authors include Jef D. Boeke, Yizhi Cai, Joel S. Bader, Kun Yang, Leslie A. Mitchell, Giuseppe Nicosia, Jessica S. Dymond, Dongwon Lee, Sarah M. Richardson and Cheng Huang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Giovanni Stracquadanio

35 papers receiving 871 citations

Hit Papers

Design of a synthetic yeast genome 2017 2026 2020 2023 2017 100 200 300

Peers

Giovanni Stracquadanio
Lei Wei China
Eric R. Greene United States
Renee Gaspard United States
Joshua G. Dunn United States
Tasuku Kitada United States
Andrew F. Jarnuczak United Kingdom
Runnan Qi China
Lei Wei China
Giovanni Stracquadanio
Citations per year, relative to Giovanni Stracquadanio Giovanni Stracquadanio (= 1×) peers Lei Wei

Countries citing papers authored by Giovanni Stracquadanio

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Stracquadanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Stracquadanio

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

All Works

20 of 20 papers shown
1.
Jelı́nek, Tomáš, David Žihala, Serafim Nenarokov, et al.. (2024). Beyond the marrow: insights from comprehensive next-generation sequencing of extramedullary multiple myeloma tumors. Leukemia. 38(6). 1323–1333. 17 indexed citations
2.
Stracquadanio, Giovanni, et al.. (2024). Dirichlet latent modelling enables effective learning and sampling of the functional protein design space. Nature Communications. 15(1). 9309–9309. 1 indexed citations
3.
Stracquadanio, Giovanni, et al.. (2024). Protein engineering using variational free energy approximation. Nature Communications. 15(1). 10447–10447. 3 indexed citations
4.
Foo, Jee Loon, Shohei Kitano, Yicong Lin, et al.. (2023). Establishing chromosomal design-build-test-learn through a synthetic chromosome and its combinatorial reconfiguration. Cell Genomics. 3(11). 100435–100435. 14 indexed citations
5.
Densmore, Douglas, Nathan J. Hillson, Eric Klavins, et al.. (2023). Introduction to the Special Issue on BioFoundries and Cloud Laboratories. ACM Journal on Emerging Technologies in Computing Systems. 19(3). 1–2. 2 indexed citations
6.
Zulkower, Valentin, et al.. (2021). Design and assembly of DNA molecules using multi-objective optimization. PubMed. 6(1). ysab026–ysab026. 5 indexed citations
7.
Harris, Benjamin, Ping Zhang, Lingyun Xiong, et al.. (2020). Heritable genetic variants in key cancer genes link cancer risk with anthropometric traits. Journal of Medical Genetics. 58(6). 392–399. 8 indexed citations
8.
Draberova, Helena, Karel Harant, Matouš Hrdinka, et al.. (2020). Systematic analysis of the IL ‐17 receptor signalosome reveals a robust regulatory feedback loop. The EMBO Journal. 39(17). e104202–e104202. 19 indexed citations
9.
Fanfani, Viola, et al.. (2020). Dissecting the heritable risk of breast cancer: From statistical methods to susceptibility genes. Seminars in Cancer Biology. 72. 175–184. 10 indexed citations
10.
Agmon, Neta, Zuojian Tang, Kun Yang, et al.. (2017). Low escape-rate genome safeguards with minimal molecular perturbation ofSaccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 114(8). E1470–E1479. 27 indexed citations
11.
Stracquadanio, Giovanni, Bart Vrugt, Renata Flury, et al.. (2016). CD44 SNPrs187115: A Novel Biomarker Signature that Predicts Survival in Resectable Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 22(24). 6069–6077. 7 indexed citations
12.
Stracquadanio, Giovanni, Xuting Wang, Marsha D. Wallace, et al.. (2016). The importance of p53 pathway genetics in inherited and somatic cancer genomes. Nature reviews. Cancer. 16(4). 251–265. 101 indexed citations
13.
Stracquadanio, Giovanni, Kun Yang, Jef D. Boeke, & Joel S. Bader. (2016). BioPartsDB: a synthetic biology workflow web-application for education and research. Bioinformatics. 32(22). 3519–3521. 4 indexed citations
14.
Pardalos, Pãnos M., et al.. (2013). Optimization Approaches for Solving String Selection Problems. CERN Document Server (European Organization for Nuclear Research). 6 indexed citations
15.
Umeton, Renato, Giovanni Stracquadanio, Alessio Papini, et al.. (2011). Identification of Sensitive Enzymes in the Photosynthetic Carbon Metabolism. Advances in experimental medicine and biology. 736. 441–459. 4 indexed citations
16.
Stracquadanio, Giovanni, et al.. (2010). Multi-objective optimization of doping profile in semiconductor design. 1243–1250. 1 indexed citations
17.
Cutello, Vincenzo, Giuseppe Nicosia, Mario Pavone, & Giovanni Stracquadanio. (2010). Entropic divergence for population based optimization algorithms. 1–8. 5 indexed citations
18.
Stracquadanio, Giovanni, et al.. (2010). Effective design of semiconductor devices using evolutionary-based derivative free optimization. 12. 1–7. 2 indexed citations
20.
Nicosia, Giuseppe & Giovanni Stracquadanio. (2008). Generalized Pattern Search Algorithm for Peptide Structure Prediction. Biophysical Journal. 95(10). 4988–4999. 33 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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