Miranda Robbins

406 total citations
10 papers, 251 citations indexed

About

Miranda Robbins is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Miranda Robbins has authored 10 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Physiology and 3 papers in Cognitive Neuroscience. Recurrent topics in Miranda Robbins's work include Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Miranda Robbins is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Miranda Robbins collaborates with scholars based in United Kingdom, South Sudan and Netherlands. Miranda Robbins's co-authors include Gabriele S. Kaminski Schierle, Emma L. Clayton, Johannes Gurke, Vincenzo F. Curto, George G. Malliaras, Ana Fernández‐Villegas, Barry J. Everitt, Ida E. Holm, Amy Milton and Troels T. Nielsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Advanced Science.

In The Last Decade

Miranda Robbins

10 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miranda Robbins United Kingdom 6 101 90 59 50 45 10 251
Benjamin Lassus France 7 100 1.0× 130 1.4× 117 2.0× 41 0.8× 32 0.7× 9 300
Franco L. Lombino Germany 10 132 1.3× 130 1.4× 123 2.1× 101 2.0× 30 0.7× 13 412
Kijung Sung United States 8 157 1.6× 87 1.0× 153 2.6× 43 0.9× 14 0.3× 17 325
Hunter S. Futch United States 8 98 1.0× 87 1.0× 108 1.8× 21 0.4× 23 0.5× 10 288
Eiko N. Minakawa Japan 11 73 0.7× 58 0.6× 129 2.2× 90 1.8× 84 1.9× 19 319
Marie-Laure Arotçarena France 9 105 1.0× 113 1.3× 99 1.7× 221 4.4× 20 0.4× 16 396
О. Л. Власова Russia 11 250 2.5× 64 0.7× 193 3.3× 36 0.7× 42 0.9× 57 444
Maria De Risi Italy 10 75 0.7× 138 1.5× 100 1.7× 83 1.7× 66 1.5× 14 342

Countries citing papers authored by Miranda Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Miranda Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miranda Robbins

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

All Works

10 of 10 papers shown
1.
Fuchsberger, Tanja, Ana Fernández‐Villegas, Amberley D. Stephens, et al.. (2025). PseudoSorter: A self-supervised spike sorting approach applied to reveal Tau-induced reductions in neuronal activity. Science Advances. 11(11). eadr4155–eadr4155. 1 indexed citations
3.
Robbins, Miranda. (2023). Therapies for Tau-associated neurodegenerative disorders: targeting molecules, synapses, and cells. Neural Regeneration Research. 18(12). 2633–2637. 10 indexed citations
4.
Clayton, Emma L. & Miranda Robbins. (2022). Synaptopathy in CHMP2B frontotemporal dementia highlights the synaptic vesicle cycle as a therapeutic target. Neural Regeneration Research. 18(2). 315–315. 2 indexed citations
5.
Robbins, Miranda, Venkat Pisupati, Roberta Azzarelli, et al.. (2021). Biofunctionalised bacterial cellulose scaffold supports the patterning and expansion of human embryonic stem cell-derived dopaminergic progenitor cells. Stem Cell Research & Therapy. 12(1). 574–574. 11 indexed citations
6.
Curto, Vincenzo F., Ana Fernández‐Villegas, Miranda Robbins, et al.. (2021). Microelectrode Arrays for Simultaneous Electrophysiology and Advanced Optical Microscopy. Advanced Science. 8(13). 2004434–2004434. 52 indexed citations
7.
Robbins, Miranda, Emma L. Clayton, & Gabriele S. Kaminski Schierle. (2021). Synaptic tau: A pathological or physiological phenomenon?. Acta Neuropathologica Communications. 9(1). 69 indexed citations
8.
Robbins, Miranda, Tanja Fuchsberger, Ole Paulsen, et al.. (2021). OptoGenie: an open-source device for the optogenetic stimulation of cells. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
9.
Clayton, Emma L., Sarah Mizielinska, James R. Edgar, et al.. (2015). Frontotemporal dementia caused by CHMP2B mutation is characterised by neuronal lysosomal storage pathology. Acta Neuropathologica. 130(4). 511–523. 74 indexed citations
10.
Merlo, Emiliano, Patrizia Ratano, Elena C. Ilioi, et al.. (2015). Amygdala Dopamine Receptors Are Required for the Destabilization of a Reconsolidating Appetitive Memory. eNeuro. 2(1). ENEURO.0024–14.2015. 29 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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