Massimo Zanni

735 citations
20 papers · 615 · h-index 14

Impact in

Papers in

Massimo Zanni

20 papers receiving 599 citations

Peers

Massimo Zanni
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 165
  • Cellular and Molecular Neuroscience 356
  • Behavioral Neuroscience 65
  • Equine 24
  • Neurology 88
Replace R. J. Dado with:
R. J. Dado United States
Ellyn J. Glazer United States
B. Lindh Sweden
Julio Fernandez‐Pardal Argentina
H. Inokuchi Japan
R. Mâgoul France
Janardhan P. Bhattarai South Korea
J. T. Katter United States
Zan‐Min Song Australia
Massimo Zanni relative to R. J. Dado United States R. J. Dado's profile →
Citations per field
00.5×2.7×
R. J. Dado · 1×
Citations per year

Countries citing papers authored by Massimo Zanni

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Zanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1997113
2 199888
3 198978
4 199267
5 199042
6 199329
7 200228
8 199526
9 199822
10 199621
11 199219
12 199417
13 199315
14 198913
15 199010
16 198910
17 19969
18 19936
19 19901
20
Giant-cell tumor of the tendon sheath in the external auditory canal.
20151

About Massimo Zanni

Massimo Zanni is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Reproductive Medicine, Endocrine and Autonomic Systems and Sensory Systems, having authored 20 papers that have together received 615 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (6 papers), Hypothalamic control of reproductive hormones (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Vestibular and auditory disorders (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (165 citations), Cellular and Molecular Neuroscience (356 citations), Behavioral Neuroscience (65 citations), Equine (24 citations) and Neurology (88 citations). Massimo Zanni has collaborated with scholars based in Italy, Sweden and Czechia. Frequent co-authors include Laura Calzà, Luciana Giardino, Tomas Hökfelt, Monica Pozza, A Velardo, Simona Cabib, Stefano Puglisi‐Allegra, Andrea Mele, Sandra Ceccatelli and N. Battistini. Their work appears in journals such as Neuroscience, Brain Research, European Journal of Pharmacology, Neuropeptides and Regulatory Peptides.

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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