Anders Waage
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Immunology top 0.5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Hematology 97
- Multiple Myeloma Research and Treatments 90
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- Protein Degradation and Inhibitors 18
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 8
- Co-authors
- Terje Espevik (20 shared papers)Alfred Halstensen (6 shared papers)Anders Sundan (73 shared papers)Magne Børset (55 shared papers)P Brandtzæg (3 shared papers)Peter Kierulf (3 shared papers)Carina Seidel (17 shared papers)Henrik Hjorth‐Hansen (19 shared papers)
In The Last Decade
Anders Waage
173 papers receiving 9.6k citations
Anders Waage's Hit Papers
Peers
Comparison fields: 5 of 128
- Hematology 2.8k
- Immunology 2.7k
- Oncology 2.1k
- Microbiology 482
- Hepatology 379
Countries citing papers authored by Anders Waage
This map shows the geographic impact of Anders Waage'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 Anders Waage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Waage more than expected).
Fields of papers citing papers by Anders Waage
This network shows the impact of papers produced by Anders Waage. 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 Anders Waage. The network helps show where Anders Waage may publish in the future.
Co-authors
The 25 scholars most cited alongside Anders Waage, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The complex pattern of cytokines in serum from patients with meningococcal septic shock. Association between interleukin 6, interleukin 1, and fatal outcome. Hit paper breakdown → | 1989 | 963 |
| 2 | ASSOCIATION BETWEEN TUMOUR NECROSIS FACTOR IN SERUM AND FATAL OUTCOME IN PATIENTS WITH MENINGOCOCCAL DISEASE Hit paper breakdown → | 1987 | 888 |
| 3 | 1989 | 398 | |
| 4 | 2002 | 308 | |
| 5 | 1993 | 248 | |
| 6 | 1989 | 247 | |
| 7 | 2008 | 239 | |
| 8 | 1988 | 200 | |
| 9 | 2000 | 194 | |
| 10 | Glucocorticoids suppress the production of tumour necrosis factor by lipopolysaccharide-stimulated human monocytes. | 1988 | 193 |
| 11 | 1990 | 191 | |
| 12 | 2002 | 187 | |
| 13 | 2011 | 181 | |
| 14 | 1987 | 174 | |
| 15 | 1996 | 173 | |
| 16 | 2009 | 167 | |
| 17 | 1996 | 158 | |
| 18 | 1989 | 151 | |
| 19 | 2015 | 149 | |
| 20 | 2002 | 135 |
About Anders Waage
Anders Waage is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Hepatology, having authored 179 papers that have together received 9.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (90 papers), Immune Response and Inflammation (19 papers), Protein Degradation and Inhibitors (18 papers), Liver physiology and pathology (15 papers), Bone health and treatments (13 papers), Cancer Treatment and Pharmacology (11 papers), Ubiquitin and proteasome pathways (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Hematology (2.8k citations), Immunology (2.7k citations), Oncology (2.1k citations), Microbiology (482 citations) and Hepatology (379 citations). Anders Waage has collaborated with scholars based in Norway, Denmark and Sweden. Frequent co-authors include Terje Espevik, Alfred Halstensen, Anders Sundan, Magne Børset, P Brandtzæg, Peter Kierulf, Carina Seidel, Henrik Hjorth‐Hansen, Refaat Shalaby and Øyvind Hjertner. Their work appears in journals such as Blood, European Journal Of Haematology, British Journal of Haematology, Oncotarget and Blood Cancer Journal.
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.