Aurélien Naldi
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 26
- Bioinformatics and Genomic Networks 23
- Microbial Metabolic Engineering and Bioproduction 13
- Receptor Mechanisms and Signaling 4
- Single-cell and spatial transcriptomics 3
- Protein Structure and Dynamics 2
- Biophysics top 5%
- Aging top 10%
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- Computational Drug Discovery Methods 2
- Modeling and Simulation top 5%
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- Immune Cell Function and Interaction 2
- Co-authors
- Denis ThieffryClaudine ChaouiyaAdrien FauréChris MungallOlga BotvinnikChristophe DessimozBrent S. PedersenWill Dampier
- Cited by
- Molecular BiologyBiophysicsAging
- Partner nations
- FrancePortugalSwitzerland
In The Last Decade
Aurélien Naldi
41 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.9k
- Biophysics 106
- Aging 32
- Computational Theory and Mathematics 254
- Modeling and Simulation 58
Countries citing papers authored by Aurélien Naldi
This map shows the geographic impact of Aurélien Naldi'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 Aurélien Naldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Naldi more than expected).
Fields of papers citing papers by Aurélien Naldi
This network shows the impact of papers produced by Aurélien Naldi. 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 Aurélien Naldi. The network helps show where Aurélien Naldi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aurélien Naldi, 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 | 2023 | 12 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 12 | |
| 11 | GOATOOLS: A Python library for Gene Ontology analysesbreakdown → | 2018 | 724 |
| 12 | 2018 | 63 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 13 | |
| 15 | Dynamical modeling and analysis of large cellular regulatory networks.: D. Bérenguier, C. Chaouiya, P. T. Monteiro, A. Naldi, E. Remy, D. Thieffry and L. Tichit | 2013 | 2 |
| 16 | 2013 | 17 | |
| 17 | 2011 | 98 | |
| 18 | 2010 | 89 | |
| 19 | 2009 | 43 | |
| 20 | 2009 | 112 |
About Aurélien Naldi
Aurélien Naldi is a scholar working on Biophysics, Molecular Biology, Immunology, Modeling and Simulation and Computational Theory and Mathematics, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (26 papers), Bioinformatics and Genomic Networks (23 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Receptor Mechanisms and Signaling (4 papers), Single-cell and spatial transcriptomics (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biophysics (106 citations), Aging (32 citations), Computational Theory and Mathematics (254 citations) and Modeling and Simulation (58 citations). Aurélien Naldi has collaborated with scholars based in France, Portugal and Switzerland. Frequent co-authors include Denis Thieffry, Claudine Chaouiya, Adrien Fauré, Chris Mungall, Olga Botvinnik, Christophe Dessimoz, Brent S. Pedersen, Will Dampier, Jeffrey M. Yunes and Fidel Ramírez. Their work appears in journals such as Frontiers in Physiology, Bioinformatics, Biosystems, Scientific Reports and Natural Computing.
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.