Maria Høyer-Hansen
- Molecular Biology top 2%
- Epidemiology top 1%
- Cell Biology top 1%
- Physiology top 0.2%
- Cancer Research top 5%
- Co-authors
- Marja JäätteläThomas FarkasNicole FehrenbacherLone BastholmJesper NylandstedFolmer EllingIda Stenfeldt MathiasenMarie S. Ostenfeld
- Topics
- Autophagy in Disease and Therapy (18 papers)Calcium signaling and nucleotide metabolism (5 papers)Cellular transport and secretion (4 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Maria Høyer-Hansen
27 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.5k
- Epidemiology 2.4k
- Cell Biology 1.1k
- Physiology 663
- Cancer Research 508
Countries citing papers authored by Maria Høyer-Hansen
This map shows the geographic impact of Maria Høyer-Hansen'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 Maria Høyer-Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Høyer-Hansen more than expected).
Fields of papers citing papers by Maria Høyer-Hansen
This network shows the impact of papers produced by Maria Høyer-Hansen. 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 Maria Høyer-Hansen. The network helps show where Maria Høyer-Hansen may publish in the future.
Co-authorship network of co-authors of Maria Høyer-Hansen
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Høyer-Hansen. A scholar is included among the top collaborators of Maria Høyer-Hansen 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 Maria Høyer-Hansen. Maria Høyer-Hansen 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 | 3 | |
| 3 | 8 | |
| 4 | 28 | |
| 5 | 114 | |
| 6 | Ingenol mebutate: induced cell death patterns in normal and cancer epithelial cells. | 35 |
| 7 | 295 | |
| 8 | 65 | |
| 9 | 89 | |
| 10 | 71 | |
| 11 | 326 | |
| 12 | 170 | |
| 13 | 129 | |
| 14 | 153 | |
| 15 | Connecting endoplasmic reticulum stress to autophagy by unfolded protein response and calciumbreakdown → | 624 |
| 16 | Control of Macroautophagy by Calcium, Calmodulin-Dependent Kinase Kinase-β, and Bcl-2breakdown → | 872 |
| 17 | 93 | |
| 18 | 213 | |
| 19 | 451 | |
| 20 | 86 |
About Maria Høyer-Hansen
Maria Høyer-Hansen is a scholar working on Physiology, Epidemiology and Cell Biology, having authored 27 papers that have together received 4.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Calcium signaling and nucleotide metabolism (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Physiology (663 citations), Epidemiology (2.4k citations) and Cell Biology (1.1k citations). Maria Høyer-Hansen has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Marja Jäättelä, Thomas Farkas, Nicole Fehrenbacher, Lone Bastholm, Jesper Nylandsted, Folmer Elling, Ida Stenfeldt Mathiasen, Marie S. Ostenfeld, Piotr Szyniarowski and Rosario Rizzuto. Their work appears in journals such as The Journal of Experimental Medicine, The EMBO Journal and Molecular Cell.
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.