Gisle Langslet
- Surgery top 0.5%
- Economics and Econometrics top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Cancer Research top 2%
- Co-authors
- John J.P. KasteleinFrederick J. RaalMichael J. KorenMichel FarnierChristelle LorenzatoMichel KrempfRobert PordyJean Bergeron
- Topics
- Lipoproteins and Cardiovascular Health (64 papers)Pharmaceutical Economics and Policy (21 papers)Cancer, Lipids, and Metabolism (20 papers)
- Partner nations
- NorwayUnited StatesNetherlands
In The Last Decade
Gisle Langslet
69 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Surgery 4.3k
- Economics and Econometrics 1.6k
- Endocrinology, Diabetes and Metabolism 1.4k
- Cardiology and Cardiovascular Medicine 869
- Cancer Research 707
Countries citing papers authored by Gisle Langslet
This map shows the geographic impact of Gisle Langslet'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 Gisle Langslet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisle Langslet more than expected).
Fields of papers citing papers by Gisle Langslet
This network shows the impact of papers produced by Gisle Langslet. 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 Gisle Langslet. The network helps show where Gisle Langslet may publish in the future.
Co-authorship network of co-authors of Gisle Langslet
This figure shows the co-authorship network connecting the top 25 collaborators of Gisle Langslet. A scholar is included among the top collaborators of Gisle Langslet 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 Gisle Langslet. Gisle Langslet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 34 | |
| 8 | 56 | |
| 9 | 1 | |
| 10 | ODYSSEY FH I and FH II: 78 week results with alirocumab treatment in 735 patients with heterozygous familial hypercholesterolaemiabreakdown → | 418 |
| 11 | 80 | |
| 12 | 14 | |
| 13 | Efficacy and Safety of Alirocumab in Reducing Lipids and Cardiovascular Eventsbreakdown → | 1683 |
| 14 | 2 | |
| 15 | 0 | |
| 16 | PCSK9 inhibition with evolocumab (AMG 145) in heterozygous familial hypercholesterolaemia (RUTHERFORD-2): a randomised, double-blind, placebo-controlled trialbreakdown → | 562 |
| 17 | 20 | |
| 18 | 14 | |
| 19 | 56 | |
| 20 | 116 |
About Gisle Langslet
Gisle Langslet is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 73 papers that have together received 5.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (64 papers), Pharmaceutical Economics and Policy (21 papers) and Cancer, Lipids, and Metabolism (20 papers). The work is most often cited by research in Surgery (4.3k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Economics and Econometrics (1.6k citations). Gisle Langslet has collaborated with scholars based in Norway, United States and Netherlands. Frequent co-authors include John J.P. Kastelein, Frederick J. Raal, Michael J. Koren, Michel Farnier, Christelle Lorenzato, Michel Krempf, Robert Pordy, Jean Bergeron, Jennifer G. Robinson and Umesh Chaudhari. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.