Laurence Calzone
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 11
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 38
- Gene Regulatory Network Analysis 35
- Microbial Metabolic Engineering and Bioproduction 19
- Gene expression and cancer classification 5
- Genetics, Bioinformatics, and Biomedical Research 4
-
- Computational Drug Discovery Methods 10
- Biophysics top 2%
- Aging top 10%
-
- Cancer Genomics and Diagnostics 3
Laurence Calzone
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 186
- Molecular Biology 2.0k
- Computational Theory and Mathematics 352
- Biophysics 113
- Aging 23
Countries citing papers authored by Laurence Calzone
This map shows the geographic impact of Laurence Calzone'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 Laurence Calzone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Calzone more than expected).
Fields of papers citing papers by Laurence Calzone
This network shows the impact of papers produced by Laurence Calzone. 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 Laurence Calzone. The network helps show where Laurence Calzone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laurence Calzone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 19 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 73 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 35 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 57 | |
| 14 | 2015 | 86 | |
| 15 | 2013 | 109 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 17 | |
| 18 | 2010 | 139 | |
| 19 | Machine Learning Bio-molecular Interactions from Temporal Logic Properties | 2005 | 5 |
| 20 | 2004 | 444 |
About Laurence Calzone
Laurence Calzone is a scholar working on Modeling and Simulation, Molecular Biology and Computational Theory and Mathematics, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (38 papers), Gene Regulatory Network Analysis (35 papers), Microbial Metabolic Engineering and Bioproduction (19 papers), Mathematical Biology Tumor Growth (11 papers), Computational Drug Discovery Methods (10 papers), Gene expression and cancer classification (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Modeling and Simulation (186 citations), Molecular Biology (2.0k citations) and Computational Theory and Mathematics (352 citations). Laurence Calzone has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Emmanuel Barillot, Andreï Zinovyev, John J. Tyson, Béla Novák, Katherine Chen, Attila Csikász‐Nagy, Frederick R. Cross, Eric Viara, Denis Thieffry and Gautier Stoll. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, BMC Systems Biology, Briefings in Bioinformatics and Frontiers in Physiology.
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.