Didier Dréau

2.5k total citations · 1 hit paper
67 papers, 1.9k citations indexed

About

Didier Dréau is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Didier Dréau has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 20 papers in Molecular Biology and 18 papers in Immunology. Recurrent topics in Didier Dréau's work include Immunotherapy and Immune Responses (9 papers), Immune cells in cancer (7 papers) and Chemokine receptors and signaling (6 papers). Didier Dréau is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune cells in cancer (7 papers) and Chemokine receptors and signaling (6 papers). Didier Dréau collaborates with scholars based in United States, France and Germany. Didier Dréau's co-authors include Hansang Cho, Ian Marriott, Rudolph E. Tanzi, Doo Yeon Kim, Joseph Park, Carla D’Avanzo, Jean Paul Lallès, R. Toullec, Mareva Foster and Henri Salmon and has published in prestigious journals such as Journal of Clinical Oncology, Nano Letters and Nature Neuroscience.

In The Last Decade

Didier Dréau

63 papers receiving 1.9k citations

Hit Papers

A 3D human triculture system modeling neurodegeneration a... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Dréau United States 24 629 406 366 272 224 67 1.9k
Linlin Wang China 23 871 1.4× 351 0.9× 136 0.4× 172 0.6× 170 0.8× 78 1.9k
Kenta Maruyama Japan 21 804 1.3× 244 0.6× 240 0.7× 561 2.1× 213 1.0× 40 2.1k
Dou Yu United States 23 701 1.1× 277 0.7× 300 0.8× 409 1.5× 120 0.5× 53 1.8k
Mohammad Kazemi Iran 25 894 1.4× 217 0.5× 329 0.9× 649 2.4× 146 0.7× 158 2.8k
Tsuyoshi Fujita Japan 32 1.4k 2.2× 175 0.4× 336 0.9× 280 1.0× 141 0.6× 122 3.2k
Athena M. Soulika United States 26 667 1.1× 193 0.5× 337 0.9× 893 3.3× 168 0.8× 57 3.1k
Mikihito Kajiya Japan 30 914 1.5× 174 0.4× 279 0.8× 271 1.0× 276 1.2× 106 2.6k
Jami Mandelin Finland 18 798 1.3× 488 1.2× 478 1.3× 872 3.2× 268 1.2× 30 2.8k
Jacek M. Kwiecień Canada 21 401 0.6× 181 0.4× 293 0.8× 152 0.6× 86 0.4× 64 1.5k
Darius Widera United Kingdom 30 1.3k 2.1× 221 0.5× 269 0.7× 501 1.8× 171 0.8× 103 3.0k

Countries citing papers authored by Didier Dréau

Since Specialization
Citations

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

Fields of papers citing papers by Didier Dréau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Dréau

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Dréau. A scholar is included among the top collaborators of Didier Dréau 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 Didier Dréau. Didier Dréau 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.
Dréau, Didier, et al.. (2025). Post-operative monitoring of tissue perfusion in murine skin flaps using enhanced thermal imaging. Biomedical Optics Express. 16(4). 1406–1406.
2.
El‐Ghannam, Ahmed, et al.. (2024). Novel 3D printed bioactive SiC orthopedic screw promotes bone growth associated activities by macrophages, neurons, and osteoblasts. Journal of Biomedical Materials Research Part A. 113(1). e37801–e37801. 2 indexed citations
4.
Dréau, Didier, Ian Marriott, Jeanette M. Bennett, et al.. (2022). Low-Dose Metformin Treatment Reduces In Vitro Growth of the LL/2 Non-small Cell Lung Cancer Cell Line. Biomedicines. 11(1). 65–65. 4 indexed citations
5.
Dréau, Didier, Ian Marriott, Jeanette M. Bennett, et al.. (2021). Low-Dose Metformin as a Monotherapy Does Not Reduce Non-Small-Cell Lung Cancer Tumor Burden in Mice. Biomedicines. 9(11). 1685–1685. 1 indexed citations
6.
Yazdanifar, Mahboubeh, Ru Zhou, Priyanka Grover, et al.. (2019). Overcoming Immunological Resistance Enhances the Efficacy of a Novel Anti-tMUC1-CAR T Cell Treatment against Pancreatic Ductal Adenocarcinoma. Cells. 8(9). 1070–1070. 49 indexed citations
7.
Moore, Laura J., Lopamudra Das Roy, Ru Zhou, et al.. (2016). Antibody-Guided In Vivo Imaging for Early Detection of Mammary Gland Tumors. Translational Oncology. 9(4). 295–305. 25 indexed citations
8.
Bowlin, Gary L., et al.. (2014). Mammary epithelial cell adhesion, viability, and infiltration on blended or coated silk fibroin–collagen type I electrospun scaffolds. Materials Science and Engineering C. 43. 37–44. 44 indexed citations
9.
Kidiyoor, Amritha, Jorge Schettini, Dahlia M. Besmer, et al.. (2014). Pancreatic Cancer Cells Isolated from Muc1-Null Tumors Favor the Generation of a Mature Less Suppressive MDSC Population. Frontiers in Immunology. 5. 67–67. 12 indexed citations
10.
Nieman, David C., Johannes Scherr, Beibei Luo, et al.. (2014). Influence of Pistachios on Performance and Exercise-Induced Inflammation, Oxidative Stress, Immune Dysfunction, and Metabolite Shifts in Cyclists: A Randomized, Crossover Trial. PLoS ONE. 9(11). e113725–e113725. 57 indexed citations
11.
Dréau, Didier, et al.. (2013). Breast tumor cell TACE-shed MCSF promotes pro-angiogenic macrophages through NF-κB signaling. Angiogenesis. 17(3). 573–585. 30 indexed citations
12.
Swamydas, Muthulekha, et al.. (2013). Soluble Tumor Necrosis Factor Receptors Shed by Breast Tumor Cells Inhibit Macrophage Chemotaxis. Journal of Interferon & Cytokine Research. 33(11). 672–681. 14 indexed citations
13.
Dréau, Didier, et al.. (2012). Overcoming hypoxia to improve tissue-engineering approaches to regenerative medicine. Journal of Tissue Engineering and Regenerative Medicine. 7(7). 505–514. 35 indexed citations
14.
El‐Ghannam, Ahmed, et al.. (2010). A ceramic-based anticancer drug delivery system to treat breast cancer. Journal of Materials Science Materials in Medicine. 21(9). 2701–2710. 30 indexed citations
15.
Swamydas, Muthulekha, et al.. (2010). Matrix compositions and the development of breast acini and ducts in 3D cultures. In Vitro Cellular & Developmental Biology - Animal. 46(8). 673–684. 20 indexed citations
17.
Dréau, Didier, et al.. (2006). Bosentan® inhibits tumor vascularization and bone metastasis in an immunocompetent skin-fold chamber model of breast carcinoma cell metastasis. Clinical & Experimental Metastasis. 23(1). 41–53. 26 indexed citations
18.
Dréau, Didier, et al.. (1997). Immune Alterations in Male and Female Mice after 2-Deoxy-d-Glucose Administration. Physiology & Behavior. 62(6). 1325–1331. 13 indexed citations
19.
Lallès, Jean Paul, Didier Dréau, Henri Salmon, & R. Toullec. (1996). Identification of soyabean allergens and immune mechanisms of dietary sensitivities in preruminant calves. Research in Veterinary Science. 60(2). 111–116. 37 indexed citations
20.
Dréau, Didier, Jean Paul Lallès, R. Toullec, & Henri Salmon. (1995). B and T lymphocytes are enhanced in the gut of piglets fed heat-treated soyabean proteins. Veterinary Immunology and Immunopathology. 47(1-2). 69–79. 25 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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