Monika Mortensen
- Epidemiology top 2%
- Molecular Biology top 10%
- Immunology top 10%
- Hematology top 5%
- Physiology top 10%
- Co-authors
- Anna Katharina SimonDavid FergusonAlexander WatsonAmanda J. StranksBenedikt M. KesslerSten Eirik W. JacobsenElizabeth J. SoilleuxGordana Djordjević
- Topics
- Autophagy in Disease and Therapy (10 papers)Erythrocyte Function and Pathophysiology (4 papers)Acute Myeloid Leukemia Research (3 papers)
- Cited by
- PhysiologyEpidemiologyHematology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Cell Biology
- Partner nations
- United KingdomDenmarkIndia
In The Last Decade
Monika Mortensen
14 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Epidemiology 979
- Molecular Biology 897
- Immunology 334
- Hematology 292
- Physiology 239
Countries citing papers authored by Monika Mortensen
This map shows the geographic impact of Monika Mortensen'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 Monika Mortensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Mortensen more than expected).
Fields of papers citing papers by Monika Mortensen
This network shows the impact of papers produced by Monika Mortensen. 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 Monika Mortensen. The network helps show where Monika Mortensen may publish in the future.
Co-authorship network of co-authors of Monika Mortensen
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Mortensen. A scholar is included among the top collaborators of Monika Mortensen 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 Monika Mortensen. Monika Mortensen 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 | 124 | |
| 3 | 126 | |
| 4 | 302 | |
| 5 | 58 | |
| 6 | 39 | |
| 7 | 99 | |
| 8 | 70 | |
| 9 | The autophagy protein Atg7 is essential for hematopoietic stem cell maintenancebreakdown → | 482 |
| 10 | 13 | |
| 11 | 47 | |
| 12 | 28 | |
| 13 | 297 | |
| 14 | 13 |
About Monika Mortensen
Monika Mortensen is a scholar working on Physiology, Hematology and Epidemiology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Erythrocyte Function and Pathophysiology (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Physiology (192 citations), Epidemiology (979 citations) and Hematology (292 citations). Monika Mortensen has collaborated with scholars based in United Kingdom, Denmark and India. Frequent co-authors include Anna Katharina Simon, David Ferguson, Alexander Watson, Amanda J. Stranks, Benedikt M. Kessler, Sten Eirik W. Jacobsen, Elizabeth J. Soilleux, Gordana Djordjević, Masaaki Komatsu and Mariola J. Edelmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.