Efthymios Manolis

1.2k citations
18 papers · 610 · h-index 12

Impact in

Papers in

Efthymios Manolis

18 papers receiving 591 citations

Peers

Efthymios Manolis
Comparison fields: 5 of 95
  • Statistics and Probability 104
  • Pharmacology 85
  • Hepatology 63
  • Pediatrics, Perinatology and Child Health 139
  • Pharmacology 73
Replace Valérie Cosson with:
Valérie Cosson Switzerland
Christian Laveille France
Justin Wilkins United States
Marylore Chenel France
Janet R. Wade United States
Justin Earp United States
Jean‐Baptiste Woillard France
DR Mould United States
Karl Brendel France
MO Karlsson Sweden
Efthymios Manolis relative to Valérie Cosson Switzerland Valérie Cosson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Efthymios Manolis

Since Specialization
Citations

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

Fields of papers citing papers by Efthymios Manolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202189
2 200985
3 201885
4 200465
5 201162
6 201344
7 201934
8 201533
9 201130
10 202019
11 201312
12 202312
13 201410
14 20219
15 20258
16 20156
17 20245
18 20202

About Efthymios Manolis

Efthymios Manolis is a scholar working on Statistics and Probability, Economics and Econometrics, Pediatrics, Perinatology and Child Health, Computational Theory and Mathematics and Pharmacology, having authored 18 papers that have together received 610 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Pharmaceutical studies and practices (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (4 papers), Biosimilars and Bioanalytical Methods (3 papers), Pharmaceutical Economics and Policy (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Statistics and Probability (104 citations), Pharmacology (85 citations), Hepatology (63 citations), Pediatrics, Perinatology and Child Health (139 citations) and Pharmacology (73 citations). Efthymios Manolis has collaborated with scholars based in Netherlands, Sweden and Belgium. Frequent co-authors include Gérard Pons, Spiros Vamvakas, Marco Cavaleri, Kristin Karlsson, Flora T. Musuamba, Rajanikanth Madabushi, Alexander Staab, Robert Hemmings, Sandra A. G. Visser and Scott Marshall. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, PROTEOMICS - CLINICAL APPLICATIONS and Clinical Infectious Diseases.

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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