Håkan Hedman
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Immunology top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 18
- Ubiquitin and proteasome pathways 7
- Oncology 13
- HER2/EGFR in Cancer Research 6
- Lung Cancer Research Studies 3
- Co-authors
- Roger Henriksson (44 shared papers)Dongsheng Guo (6 shared papers)Camilla Holmlund (13 shared papers)Jonas Nilsson (5 shared papers)J M Freyssinet (1 shared paper)Valérie Eschwège (1 shared paper)A. Bohbot (1 shared paper)Nathalie Satta (1 shared paper)
- Journals
- Acta Oncologica (7 papers)Cancer Research (3 papers)The Journal of Immunology (3 papers)Journal of Neuro-Oncology (3 papers)PLoS ONE (3 papers)
- Partner nations
- SwedenUnited KingdomFrance
In The Last Decade
Håkan Hedman
71 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 100
- Immunology and Allergy 130
- Immunology 435
- Oncology 503
- Genetics 194
- Cancer Research 251
Countries citing papers authored by Håkan Hedman
This map shows the geographic impact of Håkan Hedman'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 Håkan Hedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Håkan Hedman more than expected).
Fields of papers citing papers by Håkan Hedman
This network shows the impact of papers produced by Håkan Hedman. 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 Håkan Hedman. The network helps show where Håkan Hedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Håkan Hedman, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 320 | |
| 2 | 2004 | 246 | |
| 3 | 2001 | 120 | |
| 4 | 2004 | 91 | |
| 5 | 2007 | 77 | |
| 6 | 1992 | 74 | |
| 7 | 2007 | 67 | |
| 8 | 2003 | 65 | |
| 9 | 2004 | 64 | |
| 10 | 2003 | 58 | |
| 11 | 2006 | 56 | |
| 12 | 2013 | 54 | |
| 13 | 2014 | 51 | |
| 14 | 1992 | 48 | |
| 15 | 2015 | 44 | |
| 16 | Synergistic killing of glioblastoma stem-like cells by bortezomib and HDAC inhibitors. | 2012 | 43 |
| 17 | 2009 | 40 | |
| 18 | 2014 | 40 | |
| 19 | 2010 | 38 | |
| 20 | 2010 | 35 |
About Håkan Hedman
Håkan Hedman is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Ubiquitin and proteasome pathways (7 papers), HER2/EGFR in Cancer Research (6 papers), Cell Adhesion Molecules Research (5 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology and Allergy (130 citations), Immunology (435 citations), Oncology (503 citations), Genetics (194 citations) and Cancer Research (251 citations). Håkan Hedman has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Roger Henriksson, Dongsheng Guo, Camilla Holmlund, Jonas Nilsson, J M Freyssinet, Valérie Eschwège, A. Bohbot, Nathalie Satta, Florence Toti and Irina Golovleva. Their work appears in journals such as Acta Oncologica, Cancer Research, The Journal of Immunology, Journal of Neuro-Oncology and PLoS ONE.
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.