David Novo

792 total citations
8 papers, 273 citations indexed

About

David Novo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, David Novo has authored 8 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in David Novo's work include Neuroscience and Neural Engineering (3 papers), Cancer Cells and Metastasis (2 papers) and Ion channel regulation and function (2 papers). David Novo is often cited by papers focused on Neuroscience and Neural Engineering (3 papers), Cancer Cells and Metastasis (2 papers) and Ion channel regulation and function (2 papers). David Novo collaborates with scholars based in United States, United Kingdom and Germany. David Novo's co-authors include Marino DiFranco, Julio L. Vergara, Christopher Woods, Joana Capote, Sandeep Dhayade, Jim C. Norman, David Sumpton, Iain R. Macpherson, Emmanuel Dornier and Elena Rainero and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Oncogene.

In The Last Decade

David Novo

8 papers receiving 271 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 Novo United States 6 216 90 76 48 37 8 273
Sergii Kyrychenko United States 9 271 1.3× 36 0.4× 24 0.3× 27 0.6× 114 3.1× 11 338
Shouta Miyatake Japan 10 282 1.3× 40 0.4× 50 0.7× 10 0.2× 32 0.9× 14 372
Olga Sizova United States 9 179 0.8× 60 0.7× 22 0.3× 17 0.4× 30 0.8× 19 295
Andreas Bruzelius Sweden 8 177 0.8× 80 0.9× 56 0.7× 22 0.5× 4 0.1× 14 311
Mercy Pawar United States 10 193 0.9× 24 0.3× 24 0.3× 50 1.0× 8 0.2× 25 288
Adam J. Struck United States 7 286 1.3× 166 1.8× 6 0.1× 19 0.4× 38 1.0× 9 349
Monika Hiller Netherlands 9 325 1.5× 31 0.3× 10 0.1× 42 0.9× 63 1.7× 13 369
Adriana Malena Italy 11 409 1.9× 206 2.3× 9 0.1× 16 0.3× 29 0.8× 14 471
Rachel Cohn United States 5 177 0.8× 14 0.2× 19 0.3× 17 0.4× 92 2.5× 7 315
R. H. Brown United States 7 116 0.5× 45 0.5× 12 0.2× 10 0.2× 15 0.4× 8 209

Countries citing papers authored by David Novo

Since Specialization
Citations

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

Fields of papers citing papers by David Novo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Novo

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

All Works

8 of 8 papers shown
1.
Chen, Fuhui, David Novo, Çiğdem Selli, et al.. (2023). RAC1B function is essential for breast cancer stem cell maintenance and chemoresistance of breast tumor cells. Oncogene. 42(9). 679–692. 8 indexed citations
2.
Novo, David, América Campos, Peggy Paschke, et al.. (2023). Glioblastoma extracellular vesicles influence glial cell hyaluronic acid deposition to promote invasiveness. Neuro-Oncology Advances. 5(1). vdad067–vdad067. 1 indexed citations
3.
Dornier, Emmanuel, Nicolas Rabas, Louise Mitchell, et al.. (2017). Glutaminolysis drives membrane trafficking to promote invasiveness of breast cancer cells. Nature Communications. 8(1). 2255–2255. 84 indexed citations
4.
Novo, David, Kaya Ghosh, & Sean V. Burke. (2017). Single Cell and Population Level Analysis of HCA Data. Methods in molecular biology. 1683. 245–266. 3 indexed citations
5.
Woods, Christopher, David Novo, Marino DiFranco, Joana Capote, & Julio L. Vergara. (2005). Propagation in the transverse tubular system and voltage dependence of calcium release in normal and mdx mouse muscle fibres. The Journal of Physiology. 568(3). 867–880. 62 indexed citations
6.
Woods, Christopher, David Novo, Marino DiFranco, & Julio L. Vergara. (2004). The action potential‐evoked sarcoplasmic reticulum calcium release is impaired in mdx mouse muscle fibres. The Journal of Physiology. 557(1). 59–75. 93 indexed citations
7.
Novo, David, Marino DiFranco, & Julio L. Vergara. (2003). Comparison between the Predictions of Diffusion-Reaction Models and Localized Ca2+ Transients in Amphibian Skeletal Muscle Fibers. Biophysical Journal. 85(2). 1080–1097. 15 indexed citations
8.
Vergara, Julio L., Marino DiFranco, & David Novo. (2001). <title>Dimensions of calcium release domains in frog skeletal muscle fibers</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4259. 133–143. 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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