Benjamin Ulfenborg
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Reproductive Medicine top 10%
Papers in
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- Ovarian cancer diagnosis and treatment 7
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- Pluripotent Stem Cells Research 7
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- RNA and protein synthesis mechanisms 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Jane Synnergren (12 shared papers)Sören Richard Stahlschmidt (3 shared papers)Karin Sundfeldt (7 shared papers)Björg Kristjánsdóttir (3 shared papers)Maria Lycke (3 shared papers)Christian X. Andersson (6 shared papers)Peter Sartipy (6 shared papers)Barbara Küppers-Munther (3 shared papers)
In The Last Decade
Benjamin Ulfenborg
24 papers receiving 710 citations
Benjamin Ulfenborg's Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 38
- Reproductive Medicine 48
- Health Information Management 38
- Radiology, Nuclear Medicine and Imaging 85
- Artificial Intelligence 128
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 27 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 | 467 |
| 2 | 2019 | 48 | |
| 3 | 2021 | 35 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2024 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2015 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2021 | 2 |
About Benjamin Ulfenborg
Benjamin Ulfenborg is a scholar working on Reproductive Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Biophysics and Obstetrics and Gynecology, having authored 27 papers that have together received 723 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Ovarian cancer diagnosis and treatment (7 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Cardiac Fibrosis and Remodeling (2 papers), RNA and protein synthesis mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Health Informatics (38 citations), Reproductive Medicine (48 citations), Health Information Management (38 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Artificial Intelligence (128 citations). Benjamin Ulfenborg has collaborated with scholars based in Sweden, Finland and France. Frequent co-authors include Jane Synnergren, Sören Richard Stahlschmidt, Karin Sundfeldt, Björg Kristjánsdóttir, Maria Lycke, Christian X. Andersson, Peter Sartipy, Barbara Küppers-Munther, Sofia Waldemarson and Björn E. Olsson. Their work appears in journals such as PLoS ONE, International Journal of Cancer, Biology Open, European Journal of Obstetrics & Gynecology and Reproductive Biology and BMC Bioinformatics.
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.