Philippe Azam

1.5k total citations
17 papers, 832 citations indexed

About

Philippe Azam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Philippe Azam has authored 17 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Immunology. Recurrent topics in Philippe Azam's work include Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Analytical Chemistry and Chromatography (2 papers). Philippe Azam is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Analytical Chemistry and Chromatography (2 papers). Philippe Azam collaborates with scholars based in France, United States and United Kingdom. Philippe Azam's co-authors include Heike Wulff, Ananthakrishnan Sankaranarayanan, Alexander Schmitz, Wolfram Hänsel, Stephen M. Griffey, Gilles Marcou, Alexandre Varnek, Filippo Lunghini, H. Terence Cook and Matthew C. Pickering and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Molecular Biology and Kidney International.

In The Last Decade

Philippe Azam

17 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Azam France 12 442 204 141 86 84 17 832
Nguyễn Thị Xuân Vietnam 19 409 0.9× 313 1.5× 26 0.2× 14 0.2× 144 1.7× 65 989
Leif Holmquist Sweden 21 439 1.0× 59 0.3× 208 1.5× 30 0.3× 147 1.8× 85 1.5k
Sandra R. Slivka United States 15 689 1.6× 59 0.3× 48 0.3× 51 0.6× 142 1.7× 18 1.2k
Sébastien Corre France 17 467 1.1× 161 0.8× 7 0.0× 104 1.2× 49 0.6× 25 976
Kazuhiko Mori Japan 16 357 0.8× 126 0.6× 33 0.2× 12 0.1× 81 1.0× 68 915
Daniela Cosentino‐Gomes Brazil 13 349 0.8× 166 0.8× 45 0.3× 9 0.1× 171 2.0× 23 801
Giuseppina Amodio Italy 17 361 0.8× 107 0.5× 23 0.2× 12 0.1× 79 0.9× 27 770
Dominic Jones United Kingdom 11 665 1.5× 95 0.5× 13 0.1× 8 0.1× 61 0.7× 14 979
Benjamin M. Buehrer United States 22 1.1k 2.4× 74 0.4× 166 1.2× 7 0.1× 400 4.8× 32 1.8k
Kamal D. Mehta United States 18 607 1.4× 107 0.5× 37 0.3× 5 0.1× 165 2.0× 45 963

Countries citing papers authored by Philippe Azam

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Azam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Azam

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

All Works

17 of 17 papers shown
1.
Abbas, Shahid, et al.. (2025). THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED MEDICINE AND PREDICTIVE DIAGNOSTICS – A NARRATIVE REVIEW. 3(1 (Health & Allied)). 624–631. 1 indexed citations
2.
Lunghini, Filippo, Gilles Marcou, Philippe Azam, et al.. (2021). Endocrine disruption: the noise in available data adversely impacts the models’ performance. SAR and QSAR in environmental research. 32(2). 111–131. 5 indexed citations
3.
Lunghini, Filippo, et al.. (2020). Publicly available QSPR models for environmental media persistence. SAR and QSAR in environmental research. 31(7). 493–510. 3 indexed citations
4.
Lunghini, Filippo, et al.. (2020). Consensus QSAR models estimating acute toxicity to aquatic organisms from different trophic levels: algae, Daphnia and fish. SAR and QSAR in environmental research. 31(9). 655–675. 22 indexed citations
5.
Lunghini, Filippo, et al.. (2020). Visualization and Analysis of the REACH‐chemical Space with Generative Topographic Mapping. Molecular Informatics. 40(4). e2000232–e2000232. 3 indexed citations
6.
Lunghini, Filippo, Gilles Marcou, Philippe Azam, et al.. (2019). Modelling of ready biodegradability based on combined public and industrial data sources. SAR and QSAR in environmental research. 31(3). 171–186. 15 indexed citations
7.
Basketter, David, Philippe Azam, Silvia Casati, et al.. (2019). Applying non-animal strategies for assessing skin sensitisation report from an EPAA/cefic-LRI/IFRA Europe cross sector workshop, ECHA helsinki, February 7th and 8th 2019. Regulatory Toxicology and Pharmacology. 109. 104477–104477. 9 indexed citations
8.
Lunghini, Filippo, Gilles Marcou, Philippe Azam, et al.. (2019). QSPR models for bioconcentration factor (BCF): are they able to predict data of industrial interest?. SAR and QSAR in environmental research. 30(7). 507–524. 26 indexed citations
9.
Lunghini, Filippo, Gilles Marcou, Philippe Azam, et al.. (2019). Consensus models to predict oral rat acute toxicity and validation on a dataset coming from the industrial context. SAR and QSAR in environmental research. 30(12). 879–897. 28 indexed citations
10.
Fakhouri, Fádi, et al.. (2010). Treatment with human complement factor H rapidly reverses renal complement deposition in factor H-deficient mice. Kidney International. 78(3). 279–286. 85 indexed citations
11.
Toyama, Kazuyoshi, Heike Wulff, K. George Chandy, et al.. (2008). The intermediate-conductance calcium-activated potassium channel KCa3.1 contributes to atherogenesis in mice and humans. Journal of Clinical Investigation. 118(9). 3025–3037. 196 indexed citations
12.
Azam, Philippe, et al.. (2007). Targeting Effector Memory T Cells with the Small Molecule Kv1.3 Blocker PAP-1 Suppresses Allergic Contact Dermatitis. Journal of Investigative Dermatology. 127(6). 1419–1429. 82 indexed citations
13.
Schmitz, Alexander, et al.. (2005). Design of PAP-1, a Selective Small Molecule Kv1.3 Blocker, for the Suppression of Effector Memory T Cells in Autoimmune Diseases. Molecular Pharmacology. 68(5). 1254–1270. 184 indexed citations
14.
Azam, Philippe, Jean-Luc Peiffer, Delphine Chamousset, et al.. (2005). The cytokine-dependent MUTZ-3 cell line as an in vitro model for the screening of contact sensitizers. Toxicology and Applied Pharmacology. 212(1). 14–23. 89 indexed citations
15.
Azam, Philippe, Jean-Luc Peiffer, Jean-Claude Ourlin, et al.. (2004). Qualitative and quantitative evaluation of a local lymph node assay based on ex vivo interleukin-2 production. Toxicology. 206(2). 285–298. 11 indexed citations
16.
Henneke, Ghislaine, Yannick Gueguen, Didier Flament, et al.. (2002). Replication Factor C from the Hyperthermophilic Archaeon Pyrococcus abyssi Does Not Need ATP Hydrolysis for Clamp-loading and Contains a Functionally Conserved RFC PCNA-binding Domain. Journal of Molecular Biology. 323(5). 795–810. 23 indexed citations
17.
Gueguen, Yannick, Jean‐Luc Rolland, Odile Lecompte, et al.. (2001). Characterization of two DNA polymerases from the hyperthermophilic euryarchaeon Pyrococcus abyssi. European Journal of Biochemistry. 268(22). 5961–5969. 50 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nguyễn Thị Xuân Breakdown of academic impact, for papers by Leif Holmquist Breakdown of academic impact, for papers by Sandra R. Slivka Breakdown of academic impact, for papers by Sébastien Corre Breakdown of academic impact, for papers by Kazuhiko Mori Breakdown of academic impact, for papers by Daniela Cosentino‐Gomes Breakdown of academic impact, for papers by Giuseppina Amodio Breakdown of academic impact, for papers by Dominic Jones Breakdown of academic impact, for papers by Benjamin M. Buehrer Breakdown of academic impact, for papers by Kamal D. Mehta
Rankless by CCL
2026