Benoît Beck
- Pharmaceutical Science top 5%
- Molecular Biology
- Oncology
- Endocrinology, Diabetes and Metabolism
- Surgery
- Co-authors
- Patrick AugustijnsM. OthF. IngelsPasquale PalumboAndrea De GaetanoJuliana Bue‐ValleskeyNiels PörksenThomas A. Hardy
- Topics
- Statistical Methods in Clinical Trials (4 papers)Analytical Chemistry and Chromatography (3 papers)Drug Transport and Resistance Mechanisms (3 papers)
- Journals
- International Journal of PharmaceuticsAmerican Journal of Physiology-Endocrinology and MetabolismJournal of Chemical Information and Modeling
- Partner nations
- BelgiumUnited StatesCanada
In The Last Decade
Benoît Beck
15 papers receiving 397 citations
Peers
Comparison fields: 5 of 117
- Pharmaceutical Science 107
- Molecular Biology 91
- Oncology 86
- Endocrinology, Diabetes and Metabolism 51
- Surgery 43
Countries citing papers authored by Benoît Beck
This map shows the geographic impact of Benoît Beck'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 Benoît Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Beck more than expected).
Fields of papers citing papers by Benoît Beck
This network shows the impact of papers produced by Benoît Beck. 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 Benoît Beck. The network helps show where Benoît Beck may publish in the future.
Co-authorship network of co-authors of Benoît Beck
This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Beck. A scholar is included among the top collaborators of Benoît Beck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoît Beck. Benoît Beck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | Assay Operations for SAR Support | 14 |
| 5 | HTS Assay Validation | 61 |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 75 | |
| 9 | 38 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 131 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 1 |
About Benoît Beck
Benoît Beck is a scholar working on Statistics and Probability, Pharmaceutical Science and Management Science and Operations Research, having authored 15 papers that have together received 407 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Analytical Chemistry and Chromatography (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Pharmaceutical Science (107 citations), Oncology (86 citations) and Endocrinology, Diabetes and Metabolism (51 citations). Benoît Beck has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Patrick Augustijns, M. Oth, F. Ingels, Pasquale Palumbo, Andrea De Gaetano, Juliana Bue‐Valleskey, Niels Pörksen, Thomas A. Hardy, Bernadette Govaerts and Brian J. Eastwood. Their work appears in journals such as International Journal of Pharmaceutics, American Journal of Physiology-Endocrinology and Metabolism and Journal of Chemical Information and Modeling.
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.