Benjamin Ulfenborg

929 total citations · 1 hit paper
26 papers, 560 citations indexed

About

Benjamin Ulfenborg is a scholar working on Molecular Biology, Surgery and Reproductive Medicine. According to data from OpenAlex, Benjamin Ulfenborg has authored 26 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Reproductive Medicine. Recurrent topics in Benjamin Ulfenborg's work include Ovarian cancer diagnosis and treatment (6 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Benjamin Ulfenborg is often cited by papers focused on Ovarian cancer diagnosis and treatment (6 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Benjamin Ulfenborg collaborates with scholars based in Sweden, Finland and Netherlands. Benjamin Ulfenborg's co-authors include Jane Synnergren, Sören Richard Stahlschmidt, Karin Sundfeldt, Björg Kristjánsdóttir, Maria Lycke, Christian X. Andersson, Barbara Küppers-Munther, Peter Sartipy, Anders Jeppsson and Sofia Waldemarson and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Benjamin Ulfenborg

22 papers receiving 544 citations

Hit Papers

Multimodal deep learning for biomedical data fusion: a re... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Ulfenborg Sweden 10 193 124 95 62 60 26 560
Jorge Aranda Mexico 16 243 1.3× 61 0.5× 73 0.8× 49 0.8× 37 0.6× 29 807
Jasleen Grewal Canada 11 209 1.1× 101 0.8× 87 0.9× 98 1.6× 22 0.4× 19 490
Jianhai Zhang China 14 142 0.7× 78 0.6× 44 0.5× 21 0.3× 47 0.8× 64 515
Ken Takasawa Japan 15 264 1.4× 142 1.1× 188 2.0× 123 2.0× 40 0.7× 27 652
Xiao Lei Zhang China 11 88 0.5× 48 0.4× 96 1.0× 35 0.6× 55 0.9× 19 607
Jiawei Tian China 11 114 0.6× 86 0.7× 160 1.7× 62 1.0× 97 1.6× 54 625
Shulin Li China 15 90 0.5× 67 0.5× 77 0.8× 38 0.6× 22 0.4× 56 554
Qin Yu China 16 216 1.1× 126 1.0× 155 1.6× 40 0.6× 25 0.4× 22 816
Abedalrhman Alkhateeb Canada 13 322 1.7× 161 1.3× 94 1.0× 112 1.8× 25 0.4× 46 669
Jonathan C. Henriksen United States 14 227 1.2× 119 1.0× 149 1.6× 95 1.5× 27 0.5× 19 819

Countries citing papers authored by Benjamin Ulfenborg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamin Ulfenborg

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Ulfenborg. A scholar is included among the top collaborators of Benjamin Ulfenborg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Ulfenborg. Benjamin Ulfenborg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eidhof, Ilse, et al.. (2025). Defined culture conditions robustly maintain human stem cell pluripotency, highlighting a role for Ca2+ signaling. Communications Biology. 8(1). 255–255. 1 indexed citations
2.
Alexander, H. Richard, Kamlesh Gidwani, Benjamin Ulfenborg, et al.. (2025). Novel glycovariant biomarkers of CA125 and CA15-3 and their diagnostic performance across histotypes of ovarian cancer: A multi-cohort study in Sweden and Finland. European Journal of Obstetrics & Gynecology and Reproductive Biology. 312. 114525–114525.
3.
Ulfenborg, Benjamin, Mattias Johansson, Pär Jonsson, et al.. (2024). Multi-omics profiling to identify early plasma biomarkers in pre-diagnostic pancreatic ductal adenocarcinoma: a nested case-control study. Translational Oncology. 48. 102059–102059.
4.
Linder, Anna, Sofia Westbom-Fremer, Constantina Mateoiu, et al.. (2024). Genomic alterations in ovarian endometriosis and subsequently diagnosed ovarian carcinoma. Human Reproduction. 39(5). 1141–1154. 11 indexed citations
5.
Stahlschmidt, Sören Richard, Benjamin Ulfenborg, Göran Falkman, & Jane Synnergren. (2024). Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis. 1–8.
6.
Stahlschmidt, Sören Richard, et al.. (2023). Artificial Intelligence Supports Automated Characterization of Differentiated Human Pluripotent Stem Cells. Stem Cells. 41(9). 850–861. 13 indexed citations
7.
Ulfenborg, Benjamin, Marianne Jonsson, Lillemor Mattsson Hultén, et al.. (2022). Human intracardiac SSEA4+CD34- cells show features of cycling, immature cardiomyocytes and are distinct from Side Population and C-kit+CD45- cells. PLoS ONE. 17(6). e0269985–e0269985. 3 indexed citations
8.
9.
Ulfenborg, Benjamin, Maria Mäkelä, Kaisa Huhtinen, et al.. (2022). Diagnostic potential of nanoparticle aided assays for MUC16 and MUC1 glycovariants in ovarian cancer. International Journal of Cancer. 151(7). 1175–1184. 13 indexed citations
10.
Correia, Cláudia, Qing‐Dong Wang, Leif Carlsson, et al.. (2021). Unraveling the Metabolic Derangements Occurring in Non-infarcted Areas of Pig Hearts With Chronic Heart Failure. Frontiers in Cardiovascular Medicine. 8. 753470–753470. 1 indexed citations
11.
Ulfenborg, Benjamin, Alexander Karlsson, Maria Riveiro, et al.. (2020). Multi-assignment clustering: Machine learning from a biological perspective. Journal of Biotechnology. 326. 1–10. 4 indexed citations
12.
Ulfenborg, Benjamin, Christian X. Andersson, Sepideh Heydarkhan‐Hagvall, et al.. (2020). Cardiac hypertrophy in a dish: A human stem cell based model. Biology Open. 9(9). 16 indexed citations
13.
Holmgren, Gustav, Benjamin Ulfenborg, Annika Asplund, et al.. (2020). Characterization of Human Induced Pluripotent Stem Cell-Derived Hepatocytes with Mature Features and Potential for Modeling Metabolic Diseases. International Journal of Molecular Sciences. 21(2). 469–469. 16 indexed citations
14.
Lycke, Maria, et al.. (2020). Increased Diagnostic Accuracy of Adnexal Tumors with A Combination of Established Algorithms and Biomarkers. Journal of Clinical Medicine. 9(2). 299–299. 6 indexed citations
15.
Ulfenborg, Benjamin. (2019). Vertical and horizontal integration of multi-omics data with miodin. BMC Bioinformatics. 20(1). 649–649. 45 indexed citations
16.
Marcišauskas, Simonas, Benjamin Ulfenborg, Björg Kristjánsdóttir, Sofia Waldemarson, & Karin Sundfeldt. (2019). Univariate and classification analysis reveals potential diagnostic biomarkers for early stage ovarian cancer Type 1 and Type 2. Journal of Proteomics. 196. 57–68. 15 indexed citations
17.
Ulfenborg, Benjamin, Alexander Karlsson, Maria Riveiro, et al.. (2017). A data analysis framework for biomedical big data: Application on mesoderm differentiation of human pluripotent stem cells. PLoS ONE. 12(6). e0179613–e0179613. 4 indexed citations
18.
Ulfenborg, Benjamin, et al.. (2015). miREC: a database of miRNAs involved in the development of endometrial cancer. BMC Research Notes. 8(1). 104–104. 7 indexed citations
19.
Ulfenborg, Benjamin, et al.. (2015). Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression. International Journal of Data Mining and Bioinformatics. 13(4). 338–338. 1 indexed citations
20.
Ulfenborg, Benjamin, Karin Klinga‐Levan, & Björn Olsson. (2013). Classification of Tumor Samples from Expression Data Using Decision Trunks. Cancer Informatics. 12. CIN.S10356–CIN.S10356. 4 indexed citations

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.

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