Massimo Cella

517 citations
19 papers · 424 · h-index 10

Impact in

Papers in

Massimo Cella

19 papers receiving 412 citations

Peers

Massimo Cella
Comparison fields: 5 of 91
  • Pediatrics, Perinatology and Child Health 227
  • Pharmacology 81
  • Pharmacology 130
  • Anesthesiology and Pain Medicine 40
  • Statistics and Probability 53
Replace M. René Bouw with:
M. René Bouw United Kingdom
Janneke M. Brussee Switzerland
Sarah McLeay Australia
Lawrence Ku United States
Jacob T. Brown United States
Sang-Goo Shin South Korea
Phylinda L. S. Chan United States
Jocelyne Chabert Switzerland
Christiane Modeß Germany
Sherif Hanafy Mahmoud Canada
Massimo Cella relative to M. René Bouw United Kingdom M. René Bouw's profile →
Citations per field
00.5×2.5×
M. René Bouw · 1×
Citations per year

Countries citing papers authored by Massimo Cella

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Cella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009117
2 201052
3 201051
4 201138
5 201427
6 202126
7 201218
8 200717
9 201213
10 20119
11 20179
12 20219
13 20168
14 20168
15 20127
16 20216
17 20196
18 20122
19 20241

About Massimo Cella

Massimo Cella is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology, Statistics and Probability, Anesthesiology and Pain Medicine and Pharmacology, having authored 19 papers that have together received 424 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Statistical Methods in Clinical Trials (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Anesthesia and Sedative Agents (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Memory and Neural Mechanisms (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (227 citations), Pharmacology (81 citations), Pharmacology (130 citations), Anesthesiology and Pain Medicine (40 citations) and Statistics and Probability (53 citations). Massimo Cella has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Meindert Danhof, Oscar Della Pasqua, Catherijne A. J. Knibbe, Dylan Burger, Dick Tibboel, Évelyne Jacqz-Aigrain, Wei Zhao, David M. Burger, Karel Allegaert and Mariska Y. M. Peeters. Their work appears in journals such as British Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, International Journal of Pharmaceutics and Neuropharmacology.

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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