David Pamies

3.2k total citations
61 papers, 2.2k citations indexed

About

David Pamies is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Pamies has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Biomedical Engineering and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Pamies's work include Pluripotent Stem Cells Research (17 papers), 3D Printing in Biomedical Research (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). David Pamies is often cited by papers focused on Pluripotent Stem Cells Research (17 papers), 3D Printing in Biomedical Research (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). David Pamies collaborates with scholars based in United States, Switzerland and Germany. David Pamies's co-authors include Thomas Härtung, Helena T. Högberg, Lena Smirnova, Georgina Harris, Miguel Á. Sogorb, Eugenio Vilanova, Anna Bal‐Price, Megan Chesnut, Laura Gribaldo and Alfredo Quiñones‐Hinojosa and has published in prestigious journals such as Neurology, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

David Pamies

59 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Pamies United States 27 866 713 431 233 205 61 2.2k
Lena Smirnova United States 23 1.8k 2.1× 357 0.5× 433 1.0× 307 1.3× 156 0.8× 53 2.7k
A. Seiler Germany 26 1.9k 2.2× 548 0.8× 157 0.4× 208 0.9× 445 2.2× 61 2.9k
Saadia Kerdine‐Römer France 30 862 1.0× 124 0.2× 144 0.3× 75 0.3× 137 0.7× 67 2.6k
Jae Hyeon Park South Korea 28 738 0.9× 578 0.8× 180 0.4× 46 0.2× 167 0.8× 75 2.2k
Xing Wei China 33 1.1k 1.2× 203 0.3× 270 0.6× 131 0.6× 56 0.3× 122 3.3k
Stanley L. Lin United States 28 955 1.1× 501 0.7× 263 0.6× 109 0.5× 50 0.2× 49 2.3k
Wen Li China 26 1.0k 1.2× 98 0.1× 292 0.7× 100 0.4× 118 0.6× 95 2.4k
Richard J. Schmidt United Kingdom 29 1.1k 1.3× 144 0.2× 376 0.9× 215 0.9× 36 0.2× 125 3.2k
Lulu Xu China 21 1.1k 1.3× 277 0.4× 236 0.5× 107 0.5× 28 0.1× 102 2.2k
Akio Ohnishi Japan 27 706 0.8× 147 0.2× 1.1k 2.7× 101 0.4× 71 0.3× 211 2.9k

Countries citing papers authored by David Pamies

Since Specialization
Citations

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

Fields of papers citing papers by David Pamies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pamies

This figure shows the co-authorship network connecting the top 25 collaborators of David Pamies. A scholar is included among the top collaborators of David Pamies 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 David Pamies. David Pamies 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.
Cimbalo, Alessandra, et al.. (2025). Exploring toxicological pathways of microplastics and nanoplastics: Insights from animal and cellular models. Journal of Hazardous Materials. 490. 137795–137795. 20 indexed citations
2.
Carstens, Kelly E., David Jäckel, Shan Wang, et al.. (2025). Application of a high-density microelectrode array assay using a 3D human iPSC-derived brain microphysiological system model for in vitro neurotoxicity screening of environmental compounds. Archives of Toxicology. 99(7). 2917–2935. 1 indexed citations
3.
4.
Eftekhari, Aziz, Carola Kryschi, David Pamies, et al.. (2023). Natural and synthetic nanovectors for cancer therapy. Nanotheranostics. 7(3). 236–257. 111 indexed citations
5.
Ambrosini, Giovanna, et al.. (2023). Integrating distribution kinetics and toxicodynamics to assess repeat dose neurotoxicity in vitro using human BrainSpheres: a case study on amiodarone. Frontiers in Pharmacology. 14. 1248882–1248882. 3 indexed citations
6.
Pamies, David, Domitille Schvartz, Julien Boccard, et al.. (2022). Digoxin Induces Human Astrocyte Reaction In Vitro. Molecular Neurobiology. 60(1). 84–97. 2 indexed citations
7.
Pamies, David, Moriah E. Katt, Johannes Burtscher, et al.. (2022). Human IPSC 3D brain model as a tool to study chemical-induced dopaminergic neuronal toxicity. Neurobiology of Disease. 169. 105719–105719. 21 indexed citations
8.
Barreras, Paula, David Pamies, Maria Chiara Monaco, et al.. (2022). A human-derived 3D brain organoid model to study JC virus infection. Journal of NeuroVirology. 28(1). 17–26. 13 indexed citations
9.
Zhou, Qinjie, Diego F. Niño, Yukihiro Yamaguchi, et al.. (2021). Necrotizing enterocolitis induces T lymphocyte–mediated injury in the developing mammalian brain. Science Translational Medicine. 13(575). 57 indexed citations
10.
Chesnut, Megan, Thomas Härtung, Helena T. Högberg, & David Pamies. (2021). Human Oligodendrocytes and Myelin In Vitro to Evaluate Developmental Neurotoxicity. International Journal of Molecular Sciences. 22(15). 7929–7929. 22 indexed citations
11.
Pamies, David, Marie‐Gabrielle Zurich, & Thomas Härtung. (2020). Organotypic Models to Study Human Glioblastoma: Studying the Beast in Its Ecosystem. iScience. 23(10). 101633–101633. 13 indexed citations
12.
Plummer, Simon, Stephanie Wallace, Graeme Ball, et al.. (2019). A Human iPSC-derived 3D platform using primary brain cancer cells to study drug development and personalized medicine. Scientific Reports. 9(1). 1407–1407. 64 indexed citations
13.
Chesnut, Megan, Laura Muñoz, Georgina Harris, et al.. (2019). In vitro and in silico Models to Study Mosquito-Borne Flavivirus Neuropathogenesis, Prevention, and Treatment. Frontiers in Cellular and Infection Microbiology. 9. 223–223. 13 indexed citations
14.
Leite, Paulo Emílio Corrêa, Mariana Rodrigues Pereira, Georgina Harris, et al.. (2019). Suitability of 3D human brain spheroid models to distinguish toxic effects of gold and poly-lactic acid nanoparticles to assess biocompatibility for brain drug delivery. Particle and Fibre Toxicology. 16(1). 22–22. 67 indexed citations
15.
Harris, Georgina, J. Michael McCaffery, Daniel Severín, et al.. (2018). Toxicity, recovery, and resilience in a 3D dopaminergic neuronal in vitro model exposed to rotenone. Archives of Toxicology. 92(8). 2587–2606. 28 indexed citations
16.
Zander, Nicole E., et al.. (2017). Explosive Blast Loading on Human 3D Aggregate Minibrains. Cellular and Molecular Neurobiology. 37(7). 1331–1334. 14 indexed citations
17.
Eskes, Chantra, Sandra Coecke, Thomas Härtung, et al.. (2017). Good cell culture practices & in vitro toxicology. Toxicology in Vitro. 45(Pt 3). 272–277. 37 indexed citations
18.
Sogorb, Miguel Á., et al.. (2014). An integrated approach for detecting embryotoxicity and developmental toxicity of environmental contaminants using in vitro alternative methods. Toxicology Letters. 230(2). 356–367. 39 indexed citations
19.
Pallocca, Giorgia, Marco Fabbri, Maria Grazia Sacco, et al.. (2013). miRNA expression profiling in a human stem cell-based model as a tool for developmental neurotoxicity testing. Cell Biology and Toxicology. 29(4). 239–257. 53 indexed citations
20.

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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