Daniela Bianchi

485 total citations
8 papers, 353 citations indexed

About

Daniela Bianchi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Daniela Bianchi has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Daniela Bianchi's work include Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Memory and Neural Mechanisms (3 papers). Daniela Bianchi is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Memory and Neural Mechanisms (3 papers). Daniela Bianchi collaborates with scholars based in Italy, France and Germany. Daniela Bianchi's co-authors include Hélène Marie, Michele Migliore, Cristina Marchetti, Panayiota Poirazi, Xavier Leinekugel, Armando Romani, B. Tirozzi, Addolorata Marasco, Raffaele Calogero and Salvatore Cuomo and has published in prestigious journals such as Biophysical Journal, Cell Reports and Hippocampus.

In The Last Decade

Daniela Bianchi

6 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Bianchi Italy	5	210	152	51	45	43	8	353
Armando Romani Switzerland	6	179 0.9×	114 0.8×	31 0.6×	37 0.8×	41 1.0×	14	296
Pavel Prado Chile	12	366 1.7×	50 0.3×	50 1.0×	40 0.9×	38 0.9×	33	506
Jorge Mariño Spain	10	492 2.3×	358 2.4×	52 1.0×	36 0.8×	21 0.5×	29	587
Jaime E. Heiss United States	10	401 1.9×	232 1.5×	50 1.0×	25 0.6×	50 1.2×	13	535
Thomas Deneux France	12	372 1.8×	215 1.4×	40 0.8×	13 0.3×	54 1.3×	19	540
José C. Masdeu Spain	6	476 2.3×	173 1.1×	39 0.8×	55 1.2×	15 0.3×	8	662
Tomer Fekete United States	16	484 2.3×	123 0.8×	43 0.8×	23 0.5×	68 1.6×	29	721
Eli J. Müller Australia	14	505 2.4×	161 1.1×	50 1.0×	38 0.8×	8 0.2×	37	647
Scott R. Cole United States	7	573 2.7×	279 1.8×	63 1.2×	18 0.4×	33 0.8×	7	785
Andrzej W. Przybyszewski United States	12	248 1.2×	150 1.0×	91 1.8×	21 0.5×	18 0.4×	49	503

Countries citing papers authored by Daniela Bianchi

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Bianchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Bianchi

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

All Works

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8 of 8 papers shown

1.

Bianchi, Daniela, et al.. (2023). Logical Design Matrix (LDM): How to operationalize systemic projectual design thinking in complex contexts.. AHFE international.

2.

Bianchi, Daniela, Rosanna Migliore, Paola Vitale, et al.. (2022). Membrane electrical properties of mouse hippocampal CA1 pyramidal neurons during strong inputs. Biophysical Journal. 121(4). 644–657. 3 indexed citations

3.

Pousinha, Paula A., Xavier Mouska, Daniela Bianchi, et al.. (2019). The Amyloid Precursor Protein C-Terminal Domain Alters CA1 Neuron Firing, Modifying Hippocampus Oscillations and Impairing Spatial Memory Encoding. Cell Reports. 29(2). 317–331.e5. 27 indexed citations

4.

Romani, Armando, Cristina Marchetti, Daniela Bianchi, et al.. (2013). Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses. Frontiers in Computational Neuroscience. 7. 1–1. 187 indexed citations

5.

Bianchi, Daniela, Pasquale De Michele, Cristina Marchetti, et al.. (2013). Effects of increasing CREB-dependent transcription on the storage and recall processes in a hippocampal CA1 microcircuit. Hippocampus. 24(2). 165–177. 22 indexed citations

6.

Bianchi, Daniela, Addolorata Marasco, Cristina Marchetti, et al.. (2012). On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons. Journal of Computational Neuroscience. 33(2). 207–225. 101 indexed citations

7.

Tirozzi, B., et al.. (2007). Introduction to Computational Neurobiology and Clustering. 1 indexed citations

8.

Bianchi, Daniela, Raffaele Calogero, & B. Tirozzi. (2006). Kohonen neural networks and genetic classification. Mathematical and Computer Modelling. 45(1-2). 34–60. 12 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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