G Monza

549 citations
11 papers · 172 · h-index 7

Impact in

Papers in

G Monza

11 papers receiving 165 citations

Peers

G Monza
Comparison fields: 5 of 44
  • Anesthesiology and Pain Medicine 51
  • Pharmacology 51
  • Physiology 68
  • Psychiatry and Mental health 36
  • Pediatrics, Perinatology and Child Health 41
Replace Rivka Adler with:
Rivka Adler Israel
M. Chincholkar United Kingdom
Gary A. Mellick United States
Chia-Chih Tseng Taiwan
Kai‐Ming Duan China
Javier Muriel Spain
A. Rocco Italy
M Bone United Kingdom
Eric S. Hsu United States
Maxim Eckmann United States
G Monza relative to Rivka Adler Israel Rivka Adler's profile →
Citations per field
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Citations per year

Countries citing papers authored by G Monza

Since Specialization
Citations

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

Fields of papers citing papers by G Monza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 198451
2 199835
3 200924
4 199218
5
Treatment of anxiety with ketazolam in elderly patients.
198813
6 198512
7 19828
8
Controlled trial of two nonsteroidal anti-inflammatory drugs in postoperative pain relief: a 12-hour evaluation.
19855
9
Pirprofen in postoperative course following cataract extraction: a controlled trial.
19854
10 19851
11 19961

About G Monza

G Monza is a scholar working on Pharmacology, Anesthesiology and Pain Medicine, Surgery, Physiology and Oncology, having authored 11 papers that have together received 172 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Inflammatory mediators and NSAID effects (3 papers), Anesthesia and Pain Management (2 papers), Pain Management and Opioid Use (2 papers), Anesthesia and Sedative Agents (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (51 citations), Pharmacology (51 citations), Physiology (68 citations), Psychiatry and Mental health (36 citations) and Pediatrics, Perinatology and Child Health (41 citations). G Monza has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Alberto E. Panerai, Paola Sacerdote, Luisa Pierro, Giovanni B. Picotti, Alberto Martini, M Tiengo, D. Croci, B Francucci, Giorgio Bernardi and Mauro Bianchi. Their work appears in journals such as Pain, British Journal of Anaesthesia, Therapeutic Drug Monitoring, Maturitas and Hormone and Metabolic Research.

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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