Davide Danovi

4.0k total citations · 1 hit paper
28 papers, 2.4k citations indexed

About

Davide Danovi is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Davide Danovi has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Biomedical Engineering and 7 papers in Oncology. Recurrent topics in Davide Danovi's work include 3D Printing in Biomedical Research (10 papers), Cell Image Analysis Techniques (7 papers) and Single-cell and spatial transcriptomics (6 papers). Davide Danovi is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Cell Image Analysis Techniques (7 papers) and Single-cell and spatial transcriptomics (6 papers). Davide Danovi collaborates with scholars based in United Kingdom, Italy and France. Davide Danovi's co-authors include Pier Giuseppe Pelicci, Jean‐Christophe Marine, Emanuela Colombo, Brunangelo Falini, Steven M. Pollard, Austin Smith, Stefan H. Stricker, Roslin Russell, Marco Lee and Koichi Yoshikawa and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Davide Danovi

26 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Glioma Stem Cell Lines Expanded in Adherent Culture Have Tumor-Specific Phenotypes and Are Suitable for Chemical and Genetic Screens

2009 756 citations Steven M. Pollard, Koichi Yoshikawa et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Danovi United Kingdom	13	1.7k	1.0k	425	392	238	28	2.4k
Ugo Orfanelli Italy	12	1.5k 0.9×	1.1k 1.0×	982 2.3×	702 1.8×	299 1.3×	17	2.8k
Luca Persano Italy	26	1.1k 0.7×	591 0.6×	572 1.3×	676 1.7×	183 0.8×	55	2.0k
Zhaohui Zeng United States	10	946 0.6×	990 1.0×	609 1.4×	498 1.3×	141 0.6×	12	1.8k
Dongping He United States	12	1.4k 0.8×	620 0.6×	633 1.5×	260 0.7×	182 0.8×	30	2.6k
Ajay Pandita Canada	19	1.1k 0.7×	766 0.8×	344 0.8×	603 1.5×	146 0.6×	26	2.1k
W. Nathaniel Brennen United States	23	948 0.6×	908 0.9×	282 0.7×	505 1.3×	123 0.5×	49	2.1k
Michael S. Sabel United States	4	921 0.5×	1.3k 1.3×	115 0.3×	515 1.3×	240 1.0×	4	1.8k
Yitzhak Zimmer Switzerland	24	2.0k 1.2×	655 0.6×	332 0.8×	480 1.2×	412 1.7×	59	2.9k
Bodour Salhia United States	26	914 0.5×	580 0.6×	296 0.7×	483 1.2×	304 1.3×	69	2.0k
Weon‐Kyoo You South Korea	19	935 0.5×	522 0.5×	120 0.3×	365 0.9×	277 1.2×	37	1.7k

Countries citing papers authored by Davide Danovi

Since Specialization

Citations

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

Fields of papers citing papers by Davide Danovi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Danovi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brüning‐Richardson, Anke, et al.. (2025). Systematic Review of Pre-Clinical Systems Using Artificial Microenvironments and Anti-Migratory Drugs to Control Migration of Glioblastoma Cells. Expert Reviews in Molecular Medicine. 27. e6–e6. 3 indexed citations

Riccio, Federica, Jason D. Coombes, Heiko Wurdak, et al.. (2025). A human iPSC-based neural spheroid platform for modelling glioblastoma infiltration using high-content imaging. Scientific Reports. 16(1). 1223–1223.

Lu, Chang, Jan Zaucha, Hai Fang, et al.. (2023). Hypothesis-free phenotype prediction within a genetics-first framework. Nature Communications. 14(1). 919–919. 3 indexed citations

Williams, James H., Peter Harley, Carolina Barcellos Machado, et al.. (2023). Modelling renal defects in Bardet-Biedl syndrome patients using human iPS cells. Frontiers in Cell and Developmental Biology. 11. 1163825–1163825. 1 indexed citations

Pellón, Aize, et al.. (2022). High-content image analysis to study phenotypic heterogeneity in endothelial cell monolayers. Journal of Cell Science. 135(2). 6 indexed citations

Jowett, Geraldine M., Emily Read, Luke B. Roberts, et al.. (2022). Organoids capture tissue-specific innate lymphoid cell development in mice and humans. Cell Reports. 40(9). 111281–111281. 24 indexed citations

Vickers, Alice, Mukul Tewary, Anna Laddach, et al.. (2021). Plating human iPSC lines on micropatterned substrates reveals role for ITGB1 nsSNV in endoderm formation. Stem Cell Reports. 16(11). 2628–2641. 7 indexed citations

Veschini, Lorenzo, et al.. (2020). High-Content Imaging to Phenotype Human Primary and iPSC-Derived Cells. Methods in molecular biology. 2185. 423–445. 3 indexed citations

Thompson, Christopher R. L., et al.. (2020). An integrated pipeline for high-throughput screening and profiling of spheroids using simple live image analysis of frame to frame variations. Methods. 190. 33–43. 10 indexed citations

10.

Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2019). High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation–associated versus preneurulation-associated fate patterning. PLoS Biology. 17(10). e3000081–e3000081. 30 indexed citations

11.

Vigilante, Alessandra, Anna Laddach, Nathalie Moens, et al.. (2019). Identifying Extrinsic versus Intrinsic Drivers of Variation in Cell Behavior in Human iPSC Lines from Healthy Donors. Cell Reports. 26(8). 2078–2087.e3. 27 indexed citations

12.

Zamuner, Annj, et al.. (2019). Integrated Multiparametric High-Content Profiling of Endothelial Cells. SLAS DISCOVERY. 24(3). 264–273. 7 indexed citations

13.

Harvey, J. D., et al.. (2019). Induction of Neural Crest Stem Cells From Bardet–Biedl Syndrome Patient Derived hiPSCs. Frontiers in Molecular Neuroscience. 12. 139–139. 11 indexed citations

14.

Kerz, Maximilian, Amos Folarin, Ruta Meleckyte, et al.. (2016). A Novel Automated High-Content Analysis Workflow Capturing Cell Population Dynamics from Induced Pluripotent Stem Cell Live Imaging Data. SLAS DISCOVERY. 21(9). 887–896. 11 indexed citations

15.

Leha, Andreas, Nathalie Moens, Ruta Meleckyte, et al.. (2015). A high-content platform to characterise human induced pluripotent stem cell lines. Methods. 96. 85–96. 32 indexed citations

16.

Danovi, Davide, et al.. (2012). High Content Screening of Defined Chemical Libraries Using Normal and Glioma-Derived Neural Stem Cell Lines. Methods in enzymology on CD-ROM/Methods in enzymology. 506. 311–329. 16 indexed citations

17.

Danovi, Davide, Catherine A. Cremona, Sreya Basu, et al.. (2010). A Genetic Screen for Anchorage-Independent Proliferation in Mammalian Cells Identifies a Membrane-Bound Neuregulin. PLoS ONE. 5(7). e11774–e11774. 5 indexed citations

18.

Pollard, Steven M., Koichi Yoshikawa, Ian D. Clarke, et al.. (2009). Glioma Stem Cell Lines Expanded in Adherent Culture Have Tumor-Specific Phenotypes and Are Suitable for Chemical and Genetic Screens. Cell stem cell. 4(6). 568–580. 756 indexed citations breakdown →

19.

Brenner, Carmen, Rachel Deplus, Axelle Loriot, et al.. (2004). Myc represses transcription through recruitment of DNA methyltransferase corepressor. The EMBO Journal. 24(2). 336–346. 318 indexed citations

20.

Colombo, Emanuela, Jean‐Christophe Marine, Davide Danovi, Brunangelo Falini, & Pier Giuseppe Pelicci. (2002). Nucleophosmin regulates the stability and transcriptional activity of p53. Nature Cell Biology. 4(7). 529–533. 434 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