Hans Hagberg
Impact in
- Pathology and Forensic Medicine top 0.1%
- Lymphoma Diagnosis and Treatment
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 78
- Oncology 61
- Viral-associated cancers and disorders 25
- CAR-T cell therapy research 14
- Co-authors
- Christer Sundström (37 shared papers)Clas F. R. Källander (9 shared papers)Bengt Simonsson (8 shared papers)Bengt Glimelius (25 shared papers)Ofer Shpilberg (4 shared papers)Craig H. Moskowitz (4 shared papers)André Bosly (4 shared papers)Christian Gisselbrecht (4 shared papers)
In The Last Decade
Hans Hagberg
135 papers receiving 6.2k citations
Hans Hagberg's Hit Papers
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 4.0k
- Genetics 1.8k
- Oncology 3.1k
- Dermatology 710
- Immunology 1.4k
Countries citing papers authored by Hans Hagberg
This map shows the geographic impact of Hans Hagberg'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 Hans Hagberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Hagberg more than expected).
Fields of papers citing papers by Hans Hagberg
This network shows the impact of papers produced by Hans Hagberg. 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 Hans Hagberg. The network helps show where Hans Hagberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Hagberg, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Salvage Regimens With Autologous Transplantation for Relapsed Large B-Cell Lymphoma in the Rituximab Era Hit paper breakdown → | 2010 | 1117 |
| 2 | 2012 | 386 | |
| 3 | 2003 | 342 | |
| 4 | 2003 | 259 | |
| 5 | 2004 | 222 | |
| 6 | 2018 | 207 | |
| 7 | 2012 | 188 | |
| 8 | 2005 | 157 | |
| 9 | 1983 | 116 | |
| 10 | 1984 | 108 | |
| 11 | 2001 | 102 | |
| 12 | 2014 | 95 | |
| 13 | 1984 | 95 | |
| 14 | 1997 | 91 | |
| 15 | 2007 | 84 | |
| 16 | 2001 | 80 | |
| 17 | 1994 | 80 | |
| 18 | 2014 | 79 | |
| 19 | 2011 | 76 | |
| 20 | 1994 | 71 |
About Hans Hagberg
Hans Hagberg is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 137 papers that have together received 6.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (78 papers), Chronic Lymphocytic Leukemia Research (44 papers), Viral-associated cancers and disorders (25 papers), CNS Lymphoma Diagnosis and Treatment (15 papers), CAR-T cell therapy research (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cutaneous lymphoproliferative disorders research (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.0k citations), Genetics (1.8k citations), Oncology (3.1k citations), Dermatology (710 citations) and Immunology (1.4k citations). Hans Hagberg has collaborated with scholars based in Sweden, Denmark and Norway. Frequent co-authors include Christer Sundström, Clas F. R. Källander, Bengt Simonsson, Bengt Glimelius, Ofer Shpilberg, Craig H. Moskowitz, André Bosly, Christian Gisselbrecht, Marek Trněný and Norbert Schmitz. Their work appears in journals such as Blood, Acta Oncologica, Acta Radiologica, Annals of Oncology and European Journal Of Haematology.
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.