Øyvind Hjertner
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 19
-
- Bone Metabolism and Diseases 8
- Protein Degradation and Inhibitors 4
- Co-authors
- Magne Børset (16 shared papers)Anders Sundan (14 shared papers)Anders Waage (18 shared papers)Carina Seidel (9 shared papers)Henrik Hjorth‐Hansen (10 shared papers)Ralph D. Sanderson (5 shared papers)Therese Standal (5 shared papers)Niels Abildgaard (6 shared papers)
In The Last Decade
Øyvind Hjertner
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 79
- Hematology 650
- Oncology 679
- Endocrine and Autonomic Systems 150
- Molecular Biology 785
- Genetics 118
Countries citing papers authored by Øyvind Hjertner
This map shows the geographic impact of Øyvind Hjertner'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 Øyvind Hjertner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Øyvind Hjertner more than expected).
Fields of papers citing papers by Øyvind Hjertner
This network shows the impact of papers produced by Øyvind Hjertner. 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 Øyvind Hjertner. The network helps show where Øyvind Hjertner may publish in the future.
Co-authors
The 25 scholars most cited alongside Øyvind Hjertner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 284 | |
| 2 | 2002 | 188 | |
| 3 | 2006 | 135 | |
| 4 | 2001 | 130 | |
| 5 | 2001 | 108 | |
| 6 | 2003 | 104 | |
| 7 | 2000 | 92 | |
| 8 | 1999 | 89 | |
| 9 | 2000 | 88 | |
| 10 | Osteopontin is an adhesive factor for myeloma cells and is found in increased levels in plasma from patients with multiple myeloma. | 2004 | 63 |
| 11 | 2010 | 50 | |
| 12 | 2012 | 41 | |
| 13 | 2020 | 39 | |
| 14 | 2000 | 29 | |
| 15 | 2015 | 10 | |
| 16 | 1996 | 8 | |
| 17 | 2000 | 8 | |
| 18 | 2000 | 8 | |
| 19 | 2005 | 6 | |
| 20 | 2006 | 5 |
About Øyvind Hjertner
Øyvind Hjertner is a scholar working on Hematology, Molecular Biology, Oncology, Cell Biology and Cancer Research, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Bone health and treatments (9 papers), Bone Metabolism and Diseases (8 papers), Protein Degradation and Inhibitors (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Neuropeptides and Animal Physiology (3 papers), Liver physiology and pathology (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Hematology (650 citations), Oncology (679 citations), Endocrine and Autonomic Systems (150 citations), Molecular Biology (785 citations) and Genetics (118 citations). Øyvind Hjertner has collaborated with scholars based in Norway, Denmark and Sweden. Frequent co-authors include Magne Børset, Anders Sundan, Anders Waage, Carina Seidel, Henrik Hjorth‐Hansen, Ralph D. Sanderson, Therese Standal, Niels Abildgaard, Gunnar Qvigstad and Unni Syversen. Their work appears in journals such as Blood, European Journal Of Haematology, British Journal of Haematology, Scandinavian Journal of Clinical and Laboratory Investigation and Journal of Bone and Mineral Research.
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.