Massimiliano Bianchi

1.2k total citations
42 papers, 940 citations indexed

About

Massimiliano Bianchi is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Cell Biology. According to data from OpenAlex, Massimiliano Bianchi has authored 42 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Biological Psychiatry and 8 papers in Cell Biology. Recurrent topics in Massimiliano Bianchi's work include Neuroscience and Neuropharmacology Research (10 papers), Tryptophan and brain disorders (9 papers) and Microtubule and mitosis dynamics (7 papers). Massimiliano Bianchi is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Tryptophan and brain disorders (9 papers) and Microtubule and mitosis dynamics (7 papers). Massimiliano Bianchi collaborates with scholars based in Italy, Ireland and United States. Massimiliano Bianchi's co-authors include Christian Heidbreder, Jim J. Hagan, Francesco Crespi, C.A. Marsden, K.C.F. Fone, Etienne‐Emile Baulieu, Norazrina Azmi, Claudio Moser, M. Fernandes and Ajit J. Shah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Scientific Reports.

In The Last Decade

Massimiliano Bianchi

41 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimiliano Bianchi Italy 17 342 228 189 184 150 42 940
Jason D. Kilts United States 16 386 1.1× 247 1.1× 126 0.7× 397 2.2× 96 0.6× 31 1.0k
Koki Ito Japan 19 411 1.2× 93 0.4× 139 0.7× 396 2.2× 85 0.6× 65 1.2k
Miklós Jászberényi Hungary 23 322 0.9× 218 1.0× 99 0.5× 229 1.2× 188 1.3× 53 1.2k
Manuel O. López-Figueroa United States 13 247 0.7× 188 0.8× 72 0.4× 305 1.7× 141 0.9× 17 948
Milan Rusnák United States 16 242 0.7× 390 1.7× 99 0.5× 123 0.7× 261 1.7× 23 751
Xin Du Australia 20 564 1.6× 341 1.5× 213 1.1× 358 1.9× 199 1.3× 41 1.2k
J. Brent Kuzmiski Canada 16 455 1.3× 142 0.6× 89 0.5× 349 1.9× 160 1.1× 18 1.2k
A‐Min Huang Taiwan 16 408 1.2× 167 0.7× 92 0.5× 253 1.4× 49 0.3× 20 1.0k
Christelle Repérant France 17 479 1.4× 135 0.6× 128 0.7× 311 1.7× 81 0.5× 20 842

Countries citing papers authored by Massimiliano Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Massimiliano Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimiliano Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Bianchi. A scholar is included among the top collaborators of Massimiliano 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 Massimiliano Bianchi. Massimiliano Bianchi 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.
Rosa, Roberta De, et al.. (2022). Loss of CDKL5 Causes Synaptic GABAergic Defects That Can Be Restored with the Neuroactive Steroid Pregnenolone-Methyl-Ether. International Journal of Molecular Sciences. 24(1). 68–68. 7 indexed citations
2.
Barbiero, Isabella, Massimiliano Bianchi, & Charlotte Kilstrup‐Nielsen. (2021). Therapeutic potential of pregnenolone and pregnenolone methyl ether on depressive and CDKL5 deficiency disorders: Focus on microtubule targeting. Journal of Neuroendocrinology. 34(2). e13033–e13033. 7 indexed citations
3.
Garrone, Beatrice, Jack Prenderville, Ewa Sokołowska, et al.. (2021). Paracetamol (acetaminophen) rescues cognitive decline, neuroinflammation and cytoskeletal alterations in a model of post-operative cognitive decline (POCD) in middle-aged rats. Scientific Reports. 11(1). 10139–10139. 8 indexed citations
4.
5.
Čolić, Lejla, Marie Woelfer, Moritz Kretzschmar, et al.. (2018). Neuronal glutamatergic changes and peripheral markers of cytoskeleton dynamics change synchronically 24 h after sub-anaesthetic dose of ketamine in healthy subjects. Behavioural Brain Research. 359. 312–319. 8 indexed citations
6.
Hoffmann, Kerstin, Nicolas Froger, Massimiliano Bianchi, et al.. (2015). Effects of the Synthetic Neurosteroid. The International Journal of Neuropsychopharmacology. 19(4). pyv119–pyv119. 16 indexed citations
7.
Bianchi, Massimiliano & Etienne‐Emile Baulieu. (2012). 3β-Methoxy-pregnenolone (MAP4343) as an innovative therapeutic approach for depressive disorders. Proceedings of the National Academy of Sciences. 109(5). 1713–1718. 54 indexed citations
8.
Bianchi, Massimiliano & E.E. Baulieu. (2012). 3β-methoxy-pregnenolone (MAP4343) as an innovative therapeutic approach for depressive disorders. L Encéphale. 38(4). S6–S6. 1 indexed citations
9.
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Liga, Riccardo, Cecilia Marini, Michele Coceani, et al.. (2011). Structural Abnormalities of the Coronary Arterial Wall—in Addition to Luminal Narrowing—Affect Myocardial Blood Flow Reserve. Journal of Nuclear Medicine. 52(11). 1704–1712. 34 indexed citations
11.
Ramacciotti, C, Massimiliano Bianchi, E. Coli, et al.. (2009). Caffeine consumption among eating disorder patients: Epidemiology, motivations, and potential of abuse. Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity. 14(4). e212–e218. 16 indexed citations
12.
Pinelli, Massimiliano, et al.. (2009). [Low T3 syndrome and left ventricular diastolic function].. PubMed. 10(8). 553–7. 1 indexed citations
13.
Bianchi, Massimiliano, K.C.F. Fone, Ajit J. Shah, et al.. (2009). Chronic fluoxetine differentially modulates the hippocampal microtubular and serotonergic system in grouped and isolation reared rats. European Neuropsychopharmacology. 19(11). 778–790. 23 indexed citations
14.
Bianchi, Massimiliano, Ajit J. Shah, K.C.F. Fone, et al.. (2009). Fluoxetine administration modulates the cytoskeletal microtubular system in the rat hippocampus. Synapse. 63(4). 359–364. 45 indexed citations
15.
Bianchi, Massimiliano, et al.. (2006). [Heart failure and cholelithiasis].. PubMed. 97(3). 145–145. 1 indexed citations
16.
Bianchi, Massimiliano, Jim J. Hagan, & Christian Heidbreder. (2005). Neuronal Plasticity, Stress and Depression: Involvement of the Cytoskeletal Microtubular System?. PubMed. 4(5). 597–611. 58 indexed citations
17.
18.
Bianchi, Massimiliano, Christian Heidbreder, & Francesco Crespi. (2003). Cytoskeletal changes in the hippocampus following restraint stress: Role of serotonin and microtubules. Synapse. 49(3). 188–194. 52 indexed citations
19.
20.
Carretta, Renzo, et al.. (1980). CHARACTERISTIC VARIATION IN ELECTROPHORETIC PATTERN OF PLASMA PROTEINS IN ESSENTIAL HYPERTENSION. The Lancet. 316(8187). 182–183. 16 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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