V Di Carlo

539 citations
12 papers · 456 indexed · h-index 8
Topics
Neuroscience and Neuropharmacology Research (4 papers)Bacteriophages and microbial interactions (2 papers)Neuroscience of respiration and sleep (2 papers)

In The Last Decade

V Di Carlo

12 papers receiving 443 citations

Peers

V Di Carlo
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 284
  • Molecular Biology 99
  • Cognitive Neuroscience 79
  • Physiology 75
  • Endocrine and Autonomic Systems 71
Replace Jack E. Hubbard with:
Jack E. Hubbard United States
Barry Fass United States
Khushdev K. Sumal United States
Hitoo Nishino Japan
Etsuro Kawana Japan
P.L. Mensah United States
A. Wagner Germany
Geoffrey S. Hamill United States
Verena M. Bucher Switzerland
B J Hoffer United States
V Di Carlo relative to Jack E. Hubbard United States Jack E. Hubbard's profile →
Citations per field
00.5×1.5×
Jack E. Hubbard · 1×
Citations per year

Countries citing papers authored by V Di Carlo

Since Specialization
Citations

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

Fields of papers citing papers by V Di Carlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V Di Carlo. 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 V Di Carlo. The network helps show where V Di Carlo may publish in the future.

Co-authorship network of co-authors of V Di Carlo

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Duodenal somatostatinoma with psammoma bodies: an immunohistochemical and ultrastructural study.
32
2 11
3 5
4 110
5 63
6 131
7 72
8 10
9 7
10 8
11
[Research on the mechanism of action of local anesthetics].
5
12 2

About V Di Carlo

V Di Carlo is a scholar working on Endocrine and Autonomic Systems, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Bacteriophages and microbial interactions (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (284 citations), Developmental Neuroscience (53 citations) and Endocrine and Autonomic Systems (71 citations). V Di Carlo has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jack E. Hubbard, Maria Sironi, Marcello Carlucci, Gianluca Taccagni and M. K. Horwitt. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Cellular and Molecular Life Sciences.

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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