Donatella Crippa

535 total citations
8 papers, 470 citations indexed

About

Donatella Crippa is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Donatella Crippa has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pharmacology. Recurrent topics in Donatella Crippa's work include Hormonal and reproductive studies (2 papers), Pain Mechanisms and Treatments (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Donatella Crippa is often cited by papers focused on Hormonal and reproductive studies (2 papers), Pain Mechanisms and Treatments (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Donatella Crippa collaborates with scholars based in Italy and Spain. Donatella Crippa's co-authors include Roberto Cosimo Melcangi, Guido Cavaletti, Ilaria Roglio, Giuseppe Lauria, Roberto Bianchi, Donatella Caruso, Luis Miguel García‐Segura, Valerio Magnaghi, Emanuela Leonelli and Francesca Camozzi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Donatella Crippa

8 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donatella Crippa Italy 8 149 123 116 114 69 8 470
Donato Calabrese Italy 12 122 0.8× 144 1.2× 115 1.0× 197 1.7× 114 1.7× 16 626
Ilaria Roglio Italy 12 262 1.8× 275 2.2× 133 1.1× 156 1.4× 101 1.5× 13 738
Emanuela Leonelli Italy 10 196 1.3× 224 1.8× 95 0.8× 126 1.1× 106 1.5× 10 572
Xiuhai Ren United States 14 156 1.0× 213 1.7× 261 2.3× 70 0.6× 76 1.1× 24 584
Liesl De Sevilla United States 10 94 0.6× 110 0.9× 161 1.4× 134 1.2× 141 2.0× 12 578
Dimitrios Kanakis Germany 13 104 0.7× 93 0.8× 229 2.0× 56 0.5× 60 0.9× 28 581
Dexuan Ma China 13 85 0.6× 99 0.8× 208 1.8× 41 0.4× 79 1.1× 21 526
F. Tronche France 7 52 0.3× 106 0.9× 246 2.1× 119 1.0× 101 1.5× 8 720
Giulia D’Intino Italy 14 49 0.3× 199 1.6× 177 1.5× 113 1.0× 77 1.1× 19 707
Mariana Ramos-Brossier France 6 119 0.8× 99 0.8× 262 2.3× 44 0.4× 55 0.8× 7 560

Countries citing papers authored by Donatella Crippa

Since Specialization
Citations

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

Fields of papers citing papers by Donatella Crippa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatella Crippa

This figure shows the co-authorship network connecting the top 25 collaborators of Donatella Crippa. A scholar is included among the top collaborators of Donatella Crippa 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 Donatella Crippa. Donatella Crippa 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.
Caruso, Donatella, Marta Melis, Giuseppe Fenu, et al.. (2014). Neuroactive steroid levels in plasma and cerebrospinal fluid of male multiple sclerosis patients. Journal of Neurochemistry. 130(4). 591–597. 52 indexed citations
2.
Roglio, Ilaria, Roberto Bianchi, Francesca Camozzi, et al.. (2009). Docetaxel‐induced peripheral neuropathy: protective effects of dihydroprogesterone and progesterone in an experimental model. Journal of the Peripheral Nervous System. 14(1). 36–44. 61 indexed citations
3.
Chiorazzi, A, Gabriella Nicolini, A Canta, et al.. (2009). Experimental epothilone B neurotoxicity: Results of in vitro and in vivo studies. Neurobiology of Disease. 35(2). 270–277. 35 indexed citations
4.
Roglio, Ilaria, Roberto Bianchi, Silvia Giatti, et al.. (2007). Testosterone derivatives are neuroprotective agents in experimental diabetic neuropathy. Cellular and Molecular Life Sciences. 64(9). 1158–1168. 58 indexed citations
5.
Leonelli, Emanuela, Roberto Bianchi, Guido Cavaletti, et al.. (2006). Progesterone and its derivatives are neuroprotective agents in experimental diabetic neuropathy: A multimodal analysis. Neuroscience. 144(4). 1293–1304. 163 indexed citations
6.
Leo, Vincenzo De, Antonio La Marca, Roberto Orlandi, et al.. (2003). Effects of estradiol alone or in combination with cyproterone acetate on carotid artery pulsatility index in postmenopausal women. Maturitas. 46(3). 219–224. 9 indexed citations
7.
Paoletti, Anna Maria, et al.. (2001). Evidence That Cyproterone Acetate Improves Psychological Symptoms and Enhances the Activity of the Dopaminergic System in Postmenopause. The Journal of Clinical Endocrinology & Metabolism. 86(2). 608–612. 36 indexed citations
8.
Bertolino, Alessandro, et al.. (1988). Rolipram versus lmipramine in Inpatients with Major, ???Minor??? or Atypical Depressive Disorder: A Double-Blind Double-Dummy Study Aimed at Testing a Novel Therapeutic Approach. International Clinical Psychopharmacology. 3(3). 245–253. 56 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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