Massimo Sbacchi

32 papers receiving 694 citations

Peers

Massimo Sbacchi
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 408
  • Anesthesiology and Pain Medicine 44
  • Pharmacology 39
  • Neurology 31
  • Organic Chemistry 128
Replace Ze‐Hui Gong with:
Ze‐Hui Gong China
Luz A. Cortes-Burgos United States
B Nickel Germany
A. W. Lipkowski United States
Robert W. McNutt United States
Mayumi Nakajima Japan
József I. Székely Hungary
Giovanna Maria Scoto Italy
Leslie C. Blaber United Kingdom
Diane L. DeHaven‐Hudkins United States
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Citations per year

Countries citing papers authored by Massimo Sbacchi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Sbacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Sbacchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Sbacchi Line = papers co-authored together Massimo Sbacchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004135
2 200381
3 200265
4 199155
5 198452
6 199344
7 199038
8 199632
9 198831
10
Central and peripheral analgesic agents: chemical strategies for limiting brain penetration in kappa-opioid agonists belonging to different chemical classes.
199531
11 200329
12 199427
13 199221
14 199418
15 200214
16 198712
17 199712
18 200010
19 19859
20 20018

About Massimo Sbacchi

Massimo Sbacchi is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Neurology, Rehabilitation and Pharmacology, having authored 36 papers that have together received 777 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Pain Management and Opioid Use (6 papers), Neurological Disorders and Treatments (6 papers), Acute Ischemic Stroke Management (4 papers), Stroke Rehabilitation and Recovery (4 papers), Alkaloids: synthesis and pharmacology (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Synthesis and pharmacology of benzodiazepine derivatives (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (408 citations), Anesthesiology and Pain Medicine (44 citations), Pharmacology (39 citations), Neurology (31 citations) and Organic Chemistry (128 citations). Massimo Sbacchi has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Paola Petrillo, Giuseppe A. M. Giardina, Mark A. Scheideler, Vittorio Vecchietti, Martine J. Garnier, Paola Zaratin, Alessandra Tavani, Giulio Massimo Dondio, S. Bassi and Maria Grazia Albizzati. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Life Sciences, European Journal of Pharmacology and International Journal of Clinical Practice.

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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