Daniel Picard

3.8k total citations
64 papers, 1.0k citations indexed

About

Daniel Picard is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel Picard has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Daniel Picard's work include Glioma Diagnosis and Treatment (18 papers), Cancer-related molecular mechanisms research (9 papers) and Neuroblastoma Research and Treatments (6 papers). Daniel Picard is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Cancer-related molecular mechanisms research (9 papers) and Neuroblastoma Research and Treatments (6 papers). Daniel Picard collaborates with scholars based in Germany, Canada and United States. Daniel Picard's co-authors include Marc Remke, Patricia M. Schulte, Cynthia Hawkins, Annie Huang, Arndt Borkhardt, Guido Reifenberger, Gabriel Leprivier, Barak Rotblat, C. Cheng Kao and Ulvi Ahmadov and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Blood.

In The Last Decade

Daniel Picard

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Picard Germany 19 569 286 203 174 128 64 1.0k
Rachid Drissi United States 20 813 1.4× 142 0.5× 264 1.3× 144 0.8× 67 0.5× 45 1.1k
Philippe Vago France 20 422 0.7× 137 0.5× 101 0.5× 136 0.8× 143 1.1× 89 1.2k
Christian Maercker Germany 16 755 1.3× 204 0.7× 87 0.4× 174 1.0× 109 0.9× 36 1.3k
Ellen J. Collarini United States 18 951 1.7× 183 0.6× 139 0.7× 91 0.5× 155 1.2× 38 1.7k
T Nomura Japan 16 451 0.8× 122 0.4× 120 0.6× 145 0.8× 105 0.8× 40 1.1k
Olivier Ayrault France 24 1.7k 3.0× 381 1.3× 353 1.7× 383 2.2× 105 0.8× 46 2.1k
Joseph D. Dekker United States 15 641 1.1× 171 0.6× 98 0.5× 109 0.6× 142 1.1× 30 1.1k
Martine Jaegle Netherlands 25 1.2k 2.2× 105 0.4× 117 0.6× 156 0.9× 105 0.8× 34 2.4k
Johnny E. Kopinja United States 3 996 1.8× 184 0.6× 81 0.4× 153 0.9× 161 1.3× 3 1.3k
Yandan Yang United States 18 832 1.5× 244 0.9× 75 0.4× 250 1.4× 222 1.7× 35 1.4k

Countries citing papers authored by Daniel Picard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Picard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Picard. A scholar is included among the top collaborators of Daniel Picard 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 Daniel Picard. Daniel Picard 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.
Lü, Zhe, Haifeng C. Xu, K. P. Schaal, et al.. (2025). Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL. Cell Death and Disease. 16(1). 396–396.
2.
Gruchot, Joel, Daniel Picard, Hervé Perron, et al.. (2024). HERV-W envelope protein is present in microglial cells of the human glioma tumor microenvironment and differentially modulates neoplastic cell behavior. Microbes and Infection. 27(5-6). 105460–105460. 2 indexed citations
4.
Bernis, María Eugenia, et al.. (2022). Temporal Characterization of Microglia‐Associated Pro‐ and Anti‐Inflammatory Genes in a Neonatal Inflammation‐Sensitized Hypoxic‐Ischemic Brain Injury Model. Oxidative Medicine and Cellular Longevity. 2022(1). 2479626–2479626. 22 indexed citations
5.
Picard, Daniel, Martin F. Orth, Marc Remke, et al.. (2022). EIF4EBP1 is transcriptionally upregulated by MYCN and associates with poor prognosis in neuroblastoma. Cell Death Discovery. 8(1). 157–157. 6 indexed citations
6.
Picard, Daniel, Julian Musa, Marc Remke, et al.. (2022). Eukaryotic translation initiation factor 4E binding protein 1 (EIF4EBP1) expression in glioblastoma is driven by ETS1- and MYBL2-dependent transcriptional activation. Cell Death Discovery. 8(1). 91–91. 10 indexed citations
7.
Lange, Anja, Cathrin Ritter, Ivelina Spassova, et al.. (2021). Classical and Variant Merkel Cell Carcinoma Cell Lines Display Different Degrees of Neuroendocrine Differentiation and Epithelial-Mesenchymal Transition. Journal of Investigative Dermatology. 141(7). 1675–1686.e4. 13 indexed citations
8.
Chan, Tiffany Sin Yu, Daniel Picard, Cynthia Hawkins, et al.. (2021). Thrombospondin-1 mimetics are promising novel therapeutics for MYC-associated medulloblastoma. Neuro-Oncology Advances. 3(1). vdab002–vdab002. 4 indexed citations
9.
Levin, Liron, Daniel Picard, Ulvi Ahmadov, et al.. (2019). The lncRNA TP73-AS1 is linked to aggressiveness in glioblastoma and promotes temozolomide resistance in glioblastoma cancer stem cells. Cell Death and Disease. 10(3). 246–246. 133 indexed citations
10.
Auer, Franziska, Sanil Bhatia, Daniel Picard, et al.. (2018). The homeobox transcription factor HB9 induces senescence and blocks differentiation in hematopoietic stem and progenitor cells. Haematologica. 104(1). 35–46. 13 indexed citations
11.
Chauvistré, Heike, Oliver Keminer, Andrea Sechi, et al.. (2017). Enforced polarization of melanoma cells towards a JARID1B-high phenotype exhausts tumour fitness. RWTH Publications (RWTH Aachen). 15. 4–4.
12.
Friedrich, Carsten, Tarek Shalaby, Christoph Oehler, et al.. (2017). Tropomyosin receptor kinase C (TrkC) expression in medulloblastoma: relation to the molecular subgroups and impact on treatment response. Child s Nervous System. 33(9). 1463–1471. 4 indexed citations
13.
Niklison-Chirou, Maria Victoria, Mikael K.R. Engskog, Jakob Haglöf, et al.. (2017). TAp73 is a marker of glutamine addiction in medulloblastoma. Genes & Development. 31(17). 1738–1753. 50 indexed citations
14.
Maciaczyk, Donata, Daniel Picard, Lili Zhao, et al.. (2017). CBF1 is clinically prognostic and serves as a target to block cellular invasion and chemoresistance of EMT-like glioblastoma cells. British Journal of Cancer. 117(1). 102–112. 36 indexed citations
15.
Spence, Tara, Christian Perotti, Patrick Sin‐Chan, et al.. (2013). A novel C19MC amplified cell line links Lin28/let-7 to mTOR signaling in embryonal tumor with multilayered rosettes. Neuro-Oncology. 16(1). 62–71. 37 indexed citations
16.
Zhou, Limei, Daniel Picard, Young‐Shin Ra, et al.. (2010). Silencing of Thrombospondin-1 Is Critical for Myc-Induced Metastatic Phenotypes in Medulloblastoma. Cancer Research. 70(20). 8199–8210. 47 indexed citations
17.
Agnihotri, Sameer, Amparo Wolf, Daniel Picard, Cynthia Hawkins, & A. Guha. (2009). GATA4 is a regulator of astrocyte cell proliferation and apoptosis in the human and murine central nervous system. Oncogene. 28(34). 3033–3046. 42 indexed citations
18.
Huang, Annie, Cynthia S.W. Ho, Romina Ponzielli, et al.. (2005). Identification of a Novel c-Myc Protein Interactor, JPO2, with Transforming Activity in Medulloblastoma Cells. Cancer Research. 65(13). 5607–5619. 67 indexed citations
19.
Picard, Daniel. (1993). Jackhammers and alarm clocks: perceptions in stereo. Visible Language. 27. 98–136. 2 indexed citations
20.
Dufresne, M, et al.. (1993). Vascular Complication of a Transjugular Intrahepatic Portacaval Stent. Clinical Nuclear Medicine. 18(11). 955–957. 7 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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