Simon Fredholm
Impact in
- Dermatology top 1%
- Cutaneous lymphoproliferative disorders research
- Dermatology and Skin Diseases
- Immunology top 10%
- T-cell and Retrovirus Studies
Papers in
- Dermatology 11
- Cutaneous lymphoproliferative disorders research 11
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- T-cell and Retrovirus Studies 6
- Mast cells and histamine 1
- Co-authors
- Niels Ødum (14 shared papers)Anders Woetmann (12 shared papers)Carsten Geisler (11 shared papers)Charlotte M. Bonefeld (11 shared papers)Andreas Willerslev-Olsen (10 shared papers)Claudia Nastasi (7 shared papers)Robert Gniadecki (7 shared papers)Thorbjørn Krejsgaard (9 shared papers)
- Journals
- Cell Cycle (2 papers)Dermatology (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)OncoImmunology (1 paper)
- Partner nations
- DenmarkCanadaUnited States
In The Last Decade
Simon Fredholm
15 papers receiving 613 citations
Peers
Comparison fields: 5 of 67
- Dermatology 367
- Immunology 265
- Pathology and Forensic Medicine 175
- Epidemiology 167
- Physiology 19
Countries citing papers authored by Simon Fredholm
This map shows the geographic impact of Simon Fredholm'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 Simon Fredholm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Fredholm more than expected).
Fields of papers citing papers by Simon Fredholm
This network shows the impact of papers produced by Simon Fredholm. 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 Simon Fredholm. The network helps show where Simon Fredholm may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Fredholm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2016 | 77 | |
| 3 | 2018 | 74 | |
| 4 | 2015 | 70 | |
| 5 | MicroRNA expression in early mycosis fungoides is distinctly different from atopic dermatitis and advanced cutaneous T-cell lymphoma. | 2014 | 62 |
| 6 | 2014 | 60 | |
| 7 | 2016 | 36 | |
| 8 | 2019 | 28 | |
| 9 | 2014 | 24 | |
| 10 | STAT3 activation and infiltration of eosinophil granulocytes in mycosis fungoides. | 2014 | 21 |
| 11 | 2018 | 20 | |
| 12 | 2017 | 20 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 |
About Simon Fredholm
Simon Fredholm is a scholar working on Dermatology, Immunology, Pathology and Forensic Medicine, Epidemiology and Oncology, having authored 15 papers that have together received 621 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (11 papers), T-cell and Retrovirus Studies (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Fungal Infections and Studies (4 papers), CAR-T cell therapy research (3 papers), Nail Diseases and Treatments (2 papers), Mast cells and histamine (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Dermatology (367 citations), Immunology (265 citations), Pathology and Forensic Medicine (175 citations), Epidemiology (167 citations) and Physiology (19 citations). Simon Fredholm has collaborated with scholars based in Denmark, Canada and United States. Frequent co-authors include Niels Ødum, Anders Woetmann, Carsten Geisler, Charlotte M. Bonefeld, Andreas Willerslev-Olsen, Claudia Nastasi, Robert Gniadecki, Thorbjørn Krejsgaard, Ivan V. Litvinov and Lars Iversen. Their work appears in journals such as Cell Cycle, Dermatology, Clinical Cancer Research, Scientific Reports and OncoImmunology.
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.