P. Gallì

24 papers receiving 611 citations

Peers

P. Gallì
Comparison fields: 5 of 89
  • Genetics 99
  • Otorhinolaryngology 33
  • Endocrine and Autonomic Systems 34
  • Pathology and Forensic Medicine 77
  • Cellular and Molecular Neuroscience 72
Replace A. Elderson with:
A. Elderson Netherlands
Bahareh Rabbani Iran
Xiangdong Bu United States
Hemn Mohammadpour United States
Xiaoliu Shi China
Ilse Feenstra Netherlands
J. Bilbao Spain
Yingjie Zhou China
Holger Thiele Germany
S Takahashi Japan
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Citations per year

Countries citing papers authored by P. Gallì

Since Specialization
Citations

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

Fields of papers citing papers by P. Gallì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999120
2 200992
3
A review of genetic epidemiology of head and neck cancer related to polymorphisms in metabolic genes, cell cycle control and alcohol metabolism.
201254
4 199641
5 199639
6 200937
7 201036
8 201032
9 200431
10 201628
11 200623
12 199519
13 201419
14 199517
15 200811
16 19978
17 20035
18 20114
19
Vincenzo Tiberio: a misunderstood researcher
20112
20 20112

About P. Gallì

P. Gallì is a scholar working on Cellular and Molecular Neuroscience, Rheumatology, Physiology, Surgery and Molecular Biology, having authored 27 papers that have together received 626 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Folate and B Vitamins Research (3 papers), Alzheimer's disease research and treatments (3 papers), Molecular Sensors and Ion Detection (2 papers), Cancer-related Molecular Pathways (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Head and Neck Cancer Studies (1 paper) and Exercise and Physiological Responses (1 paper). The work is most often cited by research in Genetics (99 citations), Otorhinolaryngology (33 citations), Endocrine and Autonomic Systems (34 citations), Pathology and Forensic Medicine (77 citations) and Cellular and Molecular Neuroscience (72 citations). P. Gallì has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Georges J. M. Maestroni, Stefania Boccia, Emma De Feo, PierFranco Spano, Marina Pizzi, Maurizio Memo, Gabriella Cadoni, Gaetano Paludetti, Dario Arzani and Rosarita Amore. Their work appears in journals such as Hormone Research in Paediatrics, Neuroreport, European Journal of Epidemiology, Neurological Sciences and Molecular Pharmacology.

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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