Paolo Morana

511 total citations
9 papers, 324 citations indexed

About

Paolo Morana is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Paolo Morana has authored 9 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Paolo Morana's work include Tryptophan and brain disorders (2 papers), Hereditary Neurological Disorders (2 papers) and Bipolar Disorder and Treatment (2 papers). Paolo Morana is often cited by papers focused on Tryptophan and brain disorders (2 papers), Hereditary Neurological Disorders (2 papers) and Bipolar Disorder and Treatment (2 papers). Paolo Morana collaborates with scholars based in Italy, France and United States. Paolo Morana's co-authors include Ubaldo Del Carro, Stefano C. Previtali, Giorgia Dina, Angelo Quattrini, Gıancarlo Comı, Isabella Lorenzetti, Daniela Triolo, Albee Messing, Mauro Mondelli and Fabio Giannini and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Cell Science.

In The Last Decade

Paolo Morana

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Morana Italy 5 161 99 60 52 43 9 324
Shih‐Hsiu J. Wang United States 12 132 0.8× 133 1.3× 52 0.9× 100 1.9× 46 1.1× 28 477
Kjara S Pilch United Kingdom 7 204 1.3× 114 1.2× 24 0.4× 33 0.6× 73 1.7× 8 331
Karen Bosch United Kingdom 6 206 1.3× 101 1.0× 78 1.3× 52 1.0× 71 1.7× 9 378
Sonia Paco Spain 11 113 0.7× 171 1.7× 78 1.3× 34 0.7× 32 0.7× 21 333
Etsuko Fujimoto Japan 10 165 1.0× 98 1.0× 48 0.8× 23 0.4× 55 1.3× 25 446
Tomokazu Sawada Japan 6 242 1.5× 106 1.1× 26 0.4× 87 1.7× 68 1.6× 9 454
Kojun Torigoe Japan 10 247 1.5× 109 1.1× 48 0.8× 44 0.8× 71 1.7× 26 383
Isabella Lorenzetti Italy 12 194 1.2× 148 1.5× 62 1.0× 145 2.8× 33 0.8× 21 516
Michio Sano Japan 12 161 1.0× 104 1.1× 15 0.3× 67 1.3× 50 1.2× 15 338
Tae‐Ryong Riew South Korea 11 92 0.6× 178 1.8× 35 0.6× 38 0.7× 35 0.8× 32 378

Countries citing papers authored by Paolo Morana

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Morana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Morana

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

All Works

9 of 9 papers shown
1.
Mucci, Federico, Donatella Marazziti, Alessandra Della Vecchia, et al.. (2020). Inflammatory and metabolic markers in patients with mood disorders. The World Journal of Biological Psychiatry. 22(3). 228–235. 3 indexed citations
2.
Mucci, Federico, Donatella Marazziti, Alessandra Della Vecchia, et al.. (2020). State-of-the-Art: Inflammatory and Metabolic Markers in Mood Disorders. Life. 10(6). 82–82. 17 indexed citations
3.
Morana, Paolo, Federico Mucci, Stefano Baroni, et al.. (2020). Effectiveness of clozapine, oxcarbazepine and rivastigmine combination in a bipolar disorder patient with initial cerebral atrophy. SHILAP Revista de lepidopterología. 8(2). 254–257. 3 indexed citations
4.
Triolo, Daniela, Carla Taveggia, Alessandra Bolino, et al.. (2009). ABNORMAL SCHWANN CELL-AXON UNITS AND MYELINATION IN VIMENTIN-DEFICIENT MICE. 14. 145–146. 1 indexed citations
5.
Riva, Nilo, Nilo Riva, Paolo Morana, et al.. (2009). Acute myelopathy selectively involving lumbar anterior horns following intranasal insufflation of ecstasy and heroin. BMJ Case Reports. 2009. bcr0820080669–bcr0820080669. 3 indexed citations
6.
Triolo, Daniela, Giorgia Dina, Isabella Lorenzetti, et al.. (2006). Loss of glial fibrillary acidic protein (GFAP) impairs Schwann cell proliferation and delays nerve regeneration after damage. Journal of Cell Science. 119(19). 3981–3993. 163 indexed citations
7.
Mondelli, Mauro, Paolo Morana, Michele Ballerini, Stefania Rossi, & Fabio Giannini. (2005). Mononeuropathies of the radial nerve: Clinical and neurographic findings in 91 consecutive cases. Journal of Electromyography and Kinesiology. 15(4). 377–383. 29 indexed citations
8.
Amadio, Stefano, Stefano Pluchino, Paolo Morana, et al.. (2005). Motor evoked potentials in a mouse model of chronic multiple sclerosis. Muscle & Nerve. 33(2). 265–273. 24 indexed citations
9.
Bussini, Simona, Giorgia Dina, Celia Pardini, et al.. (2005). Loss of Mtmr2 Phosphatase in Schwann Cells But Not in Motor Neurons Causes Charcot-Marie-Tooth Type 4B1 Neuropathy with Myelin Outfoldings. Journal of Neuroscience. 25(37). 8567–8577. 81 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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