S. Deferme

16 papers receiving 684 citations

Peers

S. Deferme
Comparison fields: 5 of 91
  • Pharmaceutical Science 298
  • Virology 54
  • Oncology 297
  • Pharmacology 92
  • Gastroenterology 56
Replace Doo‐Man Oh with:
Doo‐Man Oh United States
Vanessa Moore United Kingdom
J. Van Gelder Belgium
Araz Raoof Belgium
Constantin Efthymiopoulos United Kingdom
Marc Lindenberg Switzerland
J H Lin United States
Pradeep Sharma United Kingdom
Philip Sassene Denmark
Chung Y. Lui United States
S. Deferme relative to Doo‐Man Oh United States Doo‐Man Oh's profile →
Citations per field
00.5×3.3×
Doo‐Man Oh · 1×
Citations per year

Countries citing papers authored by S. Deferme

Since Specialization
Citations

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

Fields of papers citing papers by S. Deferme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2006145
2 2002138
3 200281
4
Drug Absorption Studies: In Situ, In Vitro and In Silico Models
200868
5 200356
6 200036
7 200235
8 200331
9 200127
10 200526
11 200221
12 200217
13 200312
14
Implementation of the caco-2 cell culture model as a predictive tool for the oral absorption of drugs. In-house evaluation procedures.
20036
15
Increased oral absorption of the antiviral ester prodrug Tenofovir disoproxil in rat ileum
20003
16
Automated blood sampling in drug discovery and development
20111

About S. Deferme

S. Deferme is a scholar working on Oncology, Infectious Diseases, Pharmaceutical Science, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 703 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), HIV/AIDS drug development and treatment (6 papers), Drug Solubulity and Delivery Systems (5 papers), Pharmacological Effects and Toxicity Studies (3 papers), Biochemical and Molecular Research (3 papers), Advanced Drug Delivery Systems (3 papers), HIV Research and Treatment (2 papers) and Gastroesophageal reflux and treatments (2 papers). The work is most often cited by research in Pharmaceutical Science (298 citations), Virology (54 citations), Oncology (297 citations), Pharmacology (92 citations) and Gastroenterology (56 citations). S. Deferme has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Patrick Augustijns, M. Oth, J. Van Gelder, Frank Lammert, Jan Tack, Pieter Annaert, Guy Van den Mooter, F. Ingels, Éric Destexhe and Jennifer Dressman. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics, Drug Metabolism and Disposition and Pharmaceutical 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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