Benjamin Ulfenborg
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in ⓘ
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Pluripotent Stem Cells Research 3
- Surgery 6
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Jane Synnergren (12 shared papers)Sören Richard Stahlschmidt (3 shared papers)Karin Sundfeldt (6 shared papers)Björg Kristjánsdóttir (3 shared papers)Maria Lycke (2 shared papers)Christian X. Andersson (6 shared papers)Peter Sartipy (6 shared papers)Barbara Küppers-Munther (3 shared papers)
- Journals
- PLoS ONE (2 papers)Stem Cells (1 paper)Scientific Reports (1 paper)Journal of Clinical Medicine (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)
- Partner nations
- SwedenFinlandNetherlands
In The Last Decade
Benjamin Ulfenborg
22 papers receiving 544 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 16
- Health Information Management 29
- Reproductive Medicine 38
- Radiology, Nuclear Medicine and Imaging 95
- Cancer Research 62
Countries citing papers authored by Benjamin Ulfenborg
This map shows the geographic impact of Benjamin Ulfenborg'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 Benjamin Ulfenborg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Ulfenborg more than expected).
Fields of papers citing papers by Benjamin Ulfenborg
This network shows the impact of papers produced by Benjamin Ulfenborg. 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 Benjamin Ulfenborg. The network helps show where Benjamin Ulfenborg may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Ulfenborg, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multimodal deep learning for biomedical data fusion: a review Hit paper breakdown → | 2021 | 341 |
| 2 | 2019 | 45 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2015 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 6 | |
| 14 | Bioinformatics tools for discovery and evaluation of biomarkers : Applications in clinical assessment of cancer | 2016 | 6 |
| 15 | 2017 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 1 |
About Benjamin Ulfenborg
Benjamin Ulfenborg is a scholar working on Molecular Biology, Surgery, Reproductive Medicine, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 26 papers that have together received 560 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Pluripotent Stem Cells Research (3 papers), MicroRNA in disease regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (29 citations), Reproductive Medicine (38 citations), Radiology, Nuclear Medicine and Imaging (95 citations) and Cancer Research (62 citations). Benjamin Ulfenborg has collaborated with scholars based in Sweden, Finland and Netherlands. Frequent co-authors include Jane Synnergren, Sören Richard Stahlschmidt, Karin Sundfeldt, Björg Kristjánsdóttir, Maria Lycke, Christian X. Andersson, Peter Sartipy, Barbara Küppers-Munther, Anders Jeppsson and Karin Klinga‐Levan. Their work appears in journals such as PLoS ONE, Stem Cells, Scientific Reports, Journal of Clinical Medicine and Clinical Chemistry and Laboratory Medicine (CCLM).
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.