Aude Desnoyer

1.3k total citations
28 papers, 534 citations indexed

About

Aude Desnoyer is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Aude Desnoyer has authored 28 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Immunology. Recurrent topics in Aude Desnoyer's work include Cancer Immunotherapy and Biomarkers (10 papers), Pharmaceutical Practices and Patient Outcomes (7 papers) and Renal cell carcinoma treatment (5 papers). Aude Desnoyer is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Pharmaceutical Practices and Patient Outcomes (7 papers) and Renal cell carcinoma treatment (5 papers). Aude Desnoyer collaborates with scholars based in France, Switzerland and Spain. Aude Desnoyer's co-authors include Nathalie Chaput, Angélo Paci, Olivier Mir, Sophie Broutin, Gilles Peytavin, Karl Balabanian, Diane Descamps, Minh Lê, Patrice Muret and Sophie Hillaire and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Aude Desnoyer

25 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aude Desnoyer France 13 226 130 129 120 80 28 534
Selina Bannoo United Kingdom 5 244 1.1× 57 0.4× 104 0.8× 105 0.9× 91 1.1× 5 1.3k
Michael Davies United Kingdom 13 434 1.9× 102 0.8× 82 0.6× 108 0.9× 87 1.1× 30 997
Émilie Uldry Switzerland 15 114 0.5× 23 0.2× 188 1.5× 135 1.1× 98 1.2× 54 600
Sabine Mall Germany 12 203 0.9× 103 0.8× 14 0.1× 84 0.7× 136 1.7× 19 470
Chiaki Okuse Japan 14 120 0.5× 55 0.4× 605 4.7× 470 3.9× 111 1.4× 92 924
Sujit Mukherjee United Kingdom 8 166 0.7× 110 0.8× 173 1.3× 162 1.4× 54 0.7× 10 480
Álvaro Danza Uruguay 10 43 0.2× 282 2.2× 64 0.5× 67 0.6× 51 0.6× 35 763
Suzanne Tavitian France 14 130 0.6× 118 0.9× 149 1.2× 62 0.5× 200 2.5× 59 857
Ankie M.T. van der Velden Netherlands 12 161 0.7× 89 0.7× 10 0.1× 108 0.9× 19 0.2× 18 368
C. Tournigand France 13 487 2.2× 18 0.1× 118 0.9× 28 0.2× 73 0.9× 35 607

Countries citing papers authored by Aude Desnoyer

Since Specialization
Citations

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

Fields of papers citing papers by Aude Desnoyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aude Desnoyer

This figure shows the co-authorship network connecting the top 25 collaborators of Aude Desnoyer. A scholar is included among the top collaborators of Aude Desnoyer 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 Aude Desnoyer. Aude Desnoyer 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
3.
Cuffel, Alexis, Vincent Allain, Lionel Faivre, et al.. (2022). Real-world characteristics of T-cell apheresis and clinical response to tisagenlecleucel in B-cell lymphoma. Blood Advances. 6(15). 4657–4660. 20 indexed citations
5.
Duchemann, Boris, Jordi Remón, Marie Naigeon, et al.. (2021). Current and future biomarkers for outcomes with immunotherapy in non-small cell lung cancer. Translational Lung Cancer Research. 10(6). 2937–2954. 21 indexed citations
6.
Duchemann, Boris, Jordi Remón, Marie Naigeon, et al.. (2020). Integrating Circulating Biomarkers in the Immune Checkpoint Inhibitor Treatment in Lung Cancer. Cancers. 12(12). 3625–3625. 28 indexed citations
7.
Desnoyer, Aude, et al.. (2020). Pharmacokinetic/pharmacodynamic relationship of therapeutic monoclonal antibodies used in oncology: Part 2, immune checkpoint inhibitor antibodies. European Journal of Cancer. 128. 119–128. 59 indexed citations
9.
Mir, Olivier, et al.. (2020). Pharmacokinetics/Pharmacodynamic (PK/PD) relationship of therapeutic monoclonal antibodies used in oncology: what's new?. European Journal of Cancer. 128. 103–106. 9 indexed citations
10.
Desnoyer, Aude, Damien Drubay, Émilie Lanoy, et al.. (2019). Fresh blood Immune cell monitoring in patients treated with nivolumab in the GETUG-AFU26 NIVOREN study: Association with toxicity and treatment outcome. Annals of Oncology. 30. v394–v394. 4 indexed citations
11.
Guignard, Bertrand, Aude Desnoyer, Olivier Grosgurin, et al.. (2018). Prevention of potentially inappropriate medication in internal medicine patients: A prospective study using the electronic application PIM-Check. Journal of Clinical Pharmacy and Therapeutics. 43(6). 860–866. 12 indexed citations
12.
Ferrara, Roberto, Marie Naigeon, Édouard Auclin, et al.. (2018). Immunosenescence (iSenescence) correlates with disease progression in advanced non-small cell lung cancer (aNSCLC) patients treated with PD-(L)1 inhibitors (IO). Annals of Oncology. 29. viii511–viii511. 7 indexed citations
13.
Desnoyer, Aude, Valérie Pourcher, Marie Besson, et al.. (2017). PIM-Check: development of an international prescription-screening checklist designed by a Delphi method for internal medicine patients. BMJ Open. 7(7). e016070–e016070. 27 indexed citations
14.
Guignard, Bertrand, Aude Desnoyer, Olivier Grosgurin, et al.. (2017). CP-029 Pim-check used by physicians to reduce drug related problems in internal medicine. A12.3–A13. 1 indexed citations
15.
Pourcher, Valérie, Aude Desnoyer, Lambert Assoumou, et al.. (2016). Phase II Trial of Lenalidomide in HIV-Infected Patients with Previously Treated Kaposi's Sarcoma: Results of the ANRS 154 Lenakap Trial. AIDS Research and Human Retroviruses. 33(1). 1–10. 24 indexed citations
16.
Desnoyer, Aude, Minh Lê, Anne Gervais, et al.. (2016). Pharmacokinetics, safety and efficacy of a full dose sofosbuvir-based regimen given daily in hemodialysis patients with chronic hepatitis C. Journal of Hepatology. 65(1). 40–47. 127 indexed citations
17.
Desnoyer, Aude, Bertrand Guignard, Pierre Olivier Lang, et al.. (2016). Prescriptions médicamenteuses potentiellement inappropriées en gériatrie : quels outils utiliser pour les détecter ?. La Presse Médicale. 45(11). 957–970. 15 indexed citations
18.
Desnoyer, Aude, N. Dupin, Lambert Assoumou, et al.. (2016). Expression pattern of the CXCL12/CXCR4-CXCR7 trio in Kaposi sarcoma skin lesions. British Journal of Dermatology. 175(6). 1251–1262. 9 indexed citations
19.
Desnoyer, Aude, Bertrand Guignard, Marie Besson, et al.. (2015). Développement d’un outil francophone de détection des prescriptions inappropriées chez l’adulte hospitalisé en médecine interne. Le Pharmacien Hospitalier et Clinicien. 50(3). 312–312. 1 indexed citations
20.
Desnoyer, Aude, et al.. (2014). The relevance of the chemokine receptor ACKR3/CXCR7 on CXCL12-mediated effects in cancers with a focus on virus-related cancers. Cytokine & Growth Factor Reviews. 25(3). 307–316. 41 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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