Jesse J. Swen
- Pharmacology top 0.02%
- Oncology top 2%
- Pediatrics, Perinatology and Child Health top 0.5%
- Molecular Biology top 5%
- Genetics top 2%
- Co-authors
- Henk‐Jan GuchelaarHans GelderblomAndrea GaedigkKelly E. CaudleTeri E. KleinVera H.M. DeneerDirk Jan A. R. MoesMarga Nijenhuis
- Topics
- Pharmacogenetics and Drug Metabolism (87 papers)Pharmaceutical studies and practices (32 papers)Renal Transplantation Outcomes and Treatments (17 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jesse J. Swen
153 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Pharmacology 3.0k
- Oncology 1.6k
- Pediatrics, Perinatology and Child Health 1.4k
- Molecular Biology 1.3k
- Genetics 866
Countries citing papers authored by Jesse J. Swen
This map shows the geographic impact of Jesse J. Swen'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 Jesse J. Swen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse J. Swen more than expected).
Fields of papers citing papers by Jesse J. Swen
This network shows the impact of papers produced by Jesse J. Swen. 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 Jesse J. Swen. The network helps show where Jesse J. Swen may publish in the future.
Co-authorship network of co-authors of Jesse J. Swen
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse J. Swen. A scholar is included among the top collaborators of Jesse J. Swen 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 Jesse J. Swen. Jesse J. Swen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 45 | |
| 13 | 10 | |
| 14 | 78 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 73 | |
| 18 | Clinical pharmacogenetics implementation consortium guideline (CPIC) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update | 57 |
| 19 | [Pharmacogenetics in primary health care: implementation and future expectations]. | 3 |
| 20 | Farmacogenetica in de eerstelijnszorg. Toepassingen en toekomstverwachtingen | 0 |
About Jesse J. Swen
Jesse J. Swen is a scholar working on Pharmacology, Transplantation and Pediatrics, Perinatology and Child Health, having authored 164 papers that have together received 5.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (87 papers), Pharmaceutical studies and practices (32 papers) and Renal Transplantation Outcomes and Treatments (17 papers). The work is most often cited by research in Pharmacology (3.0k citations), Transplantation (370 citations) and Pediatrics, Perinatology and Child Health (1.4k citations). Jesse J. Swen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Henk‐Jan Guchelaar, Hans Gelderblom, Andrea Gaedigk, Kelly E. Caudle, Teri E. Klein, Vera H.M. Deneer, Dirk Jan A. R. Moes, Marga Nijenhuis, Ron H. N. van Schaik and Jan van der Weide. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.
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.