P. Gomis

13 papers receiving 303 citations

Peers

P. Gomis
Comparison fields: 5 of 61
  • Pharmacology 129
  • Transplantation 18
  • Statistics and Probability 50
  • Molecular Medicine 23
  • Pediatrics, Perinatology and Child Health 68
Replace W. P. Geus with:
W. P. Geus Netherlands
Mélanie Wilbaux Switzerland
Scott Bryson United Kingdom
Paul K. L. Chin New Zealand
Sudhakar M. Pai United States
Ursula Thyroff‐Friesinger Germany
Shaun S. Kumar United States
C. Dansirikul Australia
Yoshiro Tomono Japan
Ibrahim Ince Germany
P. Gomis relative to W. P. Geus Netherlands W. P. Geus's profile →
Citations per field
00.5×3.1×
W. P. Geus · 1×
Citations per year

Countries citing papers authored by P. Gomis

Since Specialization
Citations

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

Fields of papers citing papers by P. Gomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside P. Gomis, 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. Gomis Line = papers co-authored together P. Gomis links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Individualizing drug dosage regimens: roles of population pharmacokinetic and dynamic models, Bayesian fitting, and adaptive control.
1993121
2 1993113
3 199421
4 200120
5 199612
6 199711
7 20016
8 20183
9
[Stability of theophylline in mono- and multi-layer parenteral nutrition bags].
20012
10
[Micronutrients in parenteral nutrition].
20092
11 20002
12
["All in one" parenteral nutrition: is it that safe?].
19951
13 19971

About P. Gomis

P. Gomis is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Pharmacology, Endocrinology, Diabetes and Metabolism and Occupational Therapy, having authored 13 papers that have together received 315 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (8 papers), Pharmaceutical studies and practices (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Central Venous Catheters and Hemodialysis (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Safe Handling of Antineoplastic Drugs (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Pharmacology (129 citations), Transplantation (18 citations), Statistics and Probability (50 citations), Molecular Medicine (23 citations) and Pediatrics, Perinatology and Child Health (68 citations). P. Gomis has collaborated with scholars based in Spain and United States. Frequent co-authors include Roger W. Jelliffe, Xavier Barbaut, Alan Schumitzky, Pascal Maire, Ming Liu, Michael Van Guilder, Li Hu, M. Van Guilder, M. León‐Sanz and Fred R. Sattler. Their work appears in journals such as Clinical Nutrition, Therapeutic Drug Monitoring, European Journal of Clinical Nutrition, Nutrition in Clinical Practice and Medicina Clínica.

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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