Massimo Cella

523 citations
19 papers · 446 · h-index 11

Impact in

    • Pharmaceutical studies and practices
    • Pharmacological Effects and Toxicity Studies
    • Pediatric Pain Management Techniques
  • Pharmacology top 10%
    • Antibiotics Pharmacokinetics and Efficacy
    • Pharmacogenetics and Drug Metabolism

Papers in

Massimo Cella

19 papers receiving 434 citations

Peers

Massimo Cella
Comparison fields: 5 of 88
  • Pediatrics, Perinatology and Child Health 163
  • Pharmacology 71
  • Anesthesiology and Pain Medicine 33
  • Pharmacology 88
  • Statistics and Probability 39
Replace M. René Bouw with:
M. René Bouw United States
Lawrence Ku United States
Phylinda L. S. Chan United States
Leigh M. Vaughan United States
Diane Kleinermans United Kingdom
Jacob T. Brown United States
Sang-Goo Shin South Korea
Kok‐Yong Seng Singapore
Kem F. Phillips United States
Jonathan Palmer United Kingdom
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Citations per field
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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 2009123
2 201055
3 201054
4 201138
5 201429
6 202128
7 201220
8 200718
9 201214
10 201110
11 201710
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, Pharmacology, Statistics and Probability and Anesthesiology and Pain Medicine, having authored 19 papers that have together received 446 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Statistical Methods in Clinical Trials (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Memory and Neural Mechanisms (2 papers), Anesthesia and Sedative Agents (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (163 citations), Pharmacology (71 citations), Anesthesiology and Pain Medicine (33 citations), Pharmacology (88 citations) and Statistics and Probability (39 citations). Massimo Cella has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Meindert Danhof, Oscar Della Pasqua, Catherijne A. J. Knibbe, Dylan Burger, Évelyne Jacqz-Aigrain, Dick Tibboel, Wei Zhao, David M. Burger, Heleen J. Blussé van Oud‐Alblas and Mariska Y. M. Peeters. Their work appears in journals such as British Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, PLoS ONE and Clinical Therapeutics.

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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