Massimo Zanni

732 citations
20 papers · 615 indexed · h-index 14

Massimo Zanni

20 papers receiving 598 citations

Peers

Massimo Zanni
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 169
  • Cellular and Molecular Neuroscience 367
  • Behavioral Neuroscience 69
  • Equine 24
  • Neurology 90
Replace S.S. Mokha with:
S.S. Mokha United States
R. J. Dado United States
Lars‐Gösta Elfvin Sweden
Kamen G. Usunoff Bulgaria
P.J. Hope United Kingdom
B. Lindh Sweden
Zita Puskár Hungary
H. Inokuchi Japan
Julio Fernandez‐Pardal Argentina
Igor Mitrovic United States
Massimo Zanni relative to S.S. Mokha United States S.S. Mokha's profile →
Citations per field
00.5×4.8×
S.S. Mokha · 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-authorship network

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

About Massimo Zanni

Massimo Zanni is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Reproductive Medicine, Endocrine and Autonomic Systems and Behavioral Neuroscience, 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), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Vestibular and auditory disorders (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (169 citations), Cellular and Molecular Neuroscience (367 citations), Behavioral Neuroscience (69 citations), Equine (24 citations) and Neurology (90 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, Andrea Mele, Simona Cabib, Stefano Puglisi‐Allegra, Sandra Ceccatelli and N. Battistini. Their work appears in journals such as Neuroscience, Brain Research, European Journal of Pharmacology, Neuropeptides and Journal of Neural Transmission.

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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