Lorenzo Corsi

1.8k citations
61 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Neuroscience and Neuropharmacology Research (18 papers)Cannabis and Cannabinoid Research (10 papers)GABA and Rice Research (6 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Lorenzo Corsi

59 papers receiving 1.4k citations

Hit Papers

Cannabis sativa L. and Nonpsychoactive Cannabinoids: Thei...2018202620202023201850100150200250

Peers

Lorenzo Corsi
Comparison fields: 5 of 119
  • Molecular Biology 478
  • Cellular and Molecular Neuroscience 397
  • Pharmacology 304
  • Plant Science 233
  • Food Science 110
Replace Ali Shamsizadeh with:
Ali Shamsizadeh Iran
Sabrina Giacoppo Italy
Yi‐Ching Lo Taiwan
Maria Galuppo Italy
Yonggang Cao China
Toru Egashira Japan
K Nieber Germany
David Aguinaga Spain
Michèle Vacca Italy
Minwei Wang China
Lorenzo Corsi relative to Ali Shamsizadeh Iran Ali Shamsizadeh's profile →
Citations per field
00.5×1.7×
Ali Shamsizadeh · 1×
Citations per year

Countries citing papers authored by Lorenzo Corsi

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Corsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Corsi

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Corsi. A scholar is included among the top collaborators of Lorenzo Corsi 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 Lorenzo Corsi. Lorenzo Corsi 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
#WorkIndexed citations
1 0
2 11
3 1
4 9
5 2
6 6
7 8
8 37
9 32
10 18
11 6
12 39
13 21
14 23
15 17
16 17
17 16
18 159
19 58
20 36

About Lorenzo Corsi

Lorenzo Corsi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Internal Medicine, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Cannabis and Cannabinoid Research (10 papers) and GABA and Rice Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (397 citations), Pharmacology (304 citations) and Developmental Neuroscience (55 citations). Lorenzo Corsi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Rossella Avallone, Mario Baraldi, Federica Pellati, Vittoria Borgonetti, Marco Biagi, Virginia Brighenti, Stefania Benvenuti, Stefano Vicini, Maria Luisa Zeneroli and Karl E. Krueger. Their work appears in journals such as The Journal of Physiology, Gut 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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