Johan Gabrielsson
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Pharmacology top 2%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- Daniel WeinerL. A. PeletierRobert G. HahnPer BolmeBirgitta OlssonAlan Wayne JonesLennart PaalzowGunnar Alván
- Topics
- Pharmacogenetics and Drug Metabolism (23 papers)Receptor Mechanisms and Signaling (21 papers)Analytical Chemistry and Chromatography (10 papers)
- Cited by
- PharmacologyEquine
- Journals
- Journal of Lipid ResearchJournal of Pharmacology and Experimental TherapeuticsAnesthesiology
- Partner nations
- SwedenNetherlandsUnited Kingdom
In The Last Decade
Johan Gabrielsson
105 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 964
- Pharmacology 523
- Pharmacology 397
- Oncology 344
- Physiology 289
Countries citing papers authored by Johan Gabrielsson
This map shows the geographic impact of Johan Gabrielsson'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 Johan Gabrielsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Gabrielsson more than expected).
Fields of papers citing papers by Johan Gabrielsson
This network shows the impact of papers produced by Johan Gabrielsson. 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 Johan Gabrielsson. The network helps show where Johan Gabrielsson may publish in the future.
Co-authorship network of co-authors of Johan Gabrielsson
This figure shows the co-authorship network connecting the top 25 collaborators of Johan Gabrielsson. A scholar is included among the top collaborators of Johan Gabrielsson 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 Johan Gabrielsson. Johan Gabrielsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 36 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 32 | |
| 11 | 26 | |
| 12 | 12 | |
| 13 | 50 | |
| 14 | 64 | |
| 15 | 9 | |
| 16 | 24 | |
| 17 | 6 | |
| 18 | 57 | |
| 19 | 2 | |
| 20 | Modeling of drugs in pregnancy : the application of pharmacokinetic principles and physiological flow models | 3 |
About Johan Gabrielsson
Johan Gabrielsson is a scholar working on Pharmacology, Equine and Behavioral Neuroscience, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Receptor Mechanisms and Signaling (21 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Pharmacology (523 citations), Equine (50 citations) and Pharmacology (397 citations). Johan Gabrielsson has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Daniel Weiner, L. A. Peletier, Robert G. Hahn, Per Bolme, Birgitta Olsson, Alan Wayne Jones, Lennart Paalzow, Gunnar Alván, Ulf Bondesson and Niclas Brynne. Their work appears in journals such as Journal of Lipid Research, Journal of Pharmacology and Experimental Therapeutics and Anesthesiology.
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.