Sergio Oddi

75 papers receiving 2.8k citations

Hit Papers

Bioactive lipids, inflammation and chronic diseases 2020 · 250 citations
250202020262022202450100150200250

Peers

Sergio Oddi
Comparison fields: 5 of 112
  • Pharmacology 1.6k
  • Cellular and Molecular Neuroscience 838
  • Biological Psychiatry 94
  • Toxicology 98
  • Endocrine and Autonomic Systems 165
Replace Meliha Karsak with:
Meliha Karsak Germany
Saori Oka Japan
Alessandro Buriani Italy
Nancy E. Buckley United States
Reşat Çınar United States
Cristina Sánchez Spain
Seishi Kishimoto Japan
Isabel Lastres‐Becker Spain
Sravan K. Goparaju Japan
Míriam Mecha Spain
Sergio Oddi relative to Meliha Karsak Germany Meliha Karsak's profile →
Citations per field
00.5×1.5×
Meliha Karsak · 1×
Citations per year

Countries citing papers authored by Sergio Oddi

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Oddi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Oddi, 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 Sergio Oddi Line = papers co-authored together Sergio Oddi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bioactive lipids, inflammation and chronic diseases
Hit paper breakdown →
2020250
2 2017194
3 2009179
4 2012144
5 2010136
6 2009119
7 2006110
8 200496
9 201182
10 200180
11 200878
12 200265
13 201661
14 200657
15 200955
16 200554
17 201950
18 201149
19 200748
20 200446

About Sergio Oddi

Sergio Oddi is a scholar working on Pharmacology, Biological Psychiatry, Toxicology, Cellular and Molecular Neuroscience and Neurology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (54 papers), Neuroscience and Neuropharmacology Research (19 papers), Pancreatic function and diabetes (19 papers), Sleep and Wakefulness Research (12 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Diet, Metabolism, and Disease (7 papers), Skin and Cellular Biology Research (6 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Pharmacology (1.6k citations), Cellular and Molecular Neuroscience (838 citations), Biological Psychiatry (94 citations), Toxicology (98 citations) and Endocrine and Autonomic Systems (165 citations). Sergio Oddi has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Mauro Maccarrone, Enrico Dainese, Nicoletta Pasquariello, Filomena Fezza, Monica Bari, Alessandro Leuti, Domenico Fazio, Alessandra Piccoli, Valeria Gasperi and Alessandro Finazzi‐Agrò. Their work appears in journals such as Current Medicinal Chemistry, Journal of Biological Chemistry, Cellular and Molecular Life Sciences, International Journal of Molecular Sciences and Scientific Reports.

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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