Ulf Schmitz

3.1k total citations
76 papers, 2.2k citations indexed

About

Ulf Schmitz is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ulf Schmitz has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 33 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Ulf Schmitz's work include RNA Research and Splicing (27 papers), MicroRNA in disease regulation (26 papers) and RNA modifications and cancer (22 papers). Ulf Schmitz is often cited by papers focused on RNA Research and Splicing (27 papers), MicroRNA in disease regulation (26 papers) and RNA modifications and cancer (22 papers). Ulf Schmitz collaborates with scholars based in Australia, Germany and South Africa. Ulf Schmitz's co-authors include Olaf Wolkenhauer, Julio Vera, John E.J. Rasko, Xin Lai, Justin Wong, Shailendra K. Gupta, Charles G. Bailey, Brigitte M. Pützer, Manfred Kunz and Raheleh Amirkhah and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

Ulf Schmitz

72 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulf Schmitz Australia	29	1.8k	985	244	159	104	76	2.2k
Per Johnsson Sweden	15	1.7k 1.0×	1.0k 1.1×	116 0.5×	167 1.1×	136 1.3×	23	2.0k
Davide Corà Italy	23	1.2k 0.7×	619 0.6×	195 0.8×	104 0.7×	129 1.2×	58	1.7k
Nathan Wong United States	12	1.7k 1.0×	1.3k 1.4×	206 0.8×	252 1.6×	88 0.8×	18	2.2k
Elizabeth Guruceaga Spain	25	1.1k 0.6×	513 0.5×	202 0.8×	216 1.4×	94 0.9×	64	1.6k
Toma Tebaldi Italy	24	1.6k 0.9×	342 0.3×	229 0.9×	223 1.4×	104 1.0×	64	2.0k
Pradeep Sathyanarayana United States	22	1.1k 0.6×	493 0.5×	194 0.8×	222 1.4×	81 0.8×	36	1.6k
Lovorka Stojic United Kingdom	18	1.3k 0.7×	536 0.5×	187 0.8×	88 0.6×	159 1.5×	22	1.6k
Michal Rabani Israel	11	2.2k 1.2×	1.6k 1.6×	108 0.4×	138 0.9×	81 0.8×	14	2.5k
Victoria H. Cowling United Kingdom	31	2.3k 1.3×	573 0.6×	488 2.0×	324 2.0×	134 1.3×	58	2.8k

Countries citing papers authored by Ulf Schmitz

Since Specialization

Citations

This map shows the geographic impact of Ulf Schmitz'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 Ulf Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Schmitz more than expected).

Fields of papers citing papers by Ulf Schmitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulf Schmitz. 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 Ulf Schmitz. The network helps show where Ulf Schmitz may publish in the future.

Co-authorship network of co-authors of Ulf Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Schmitz. A scholar is included among the top collaborators of Ulf Schmitz 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 Ulf Schmitz. Ulf Schmitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bhattacharya, N, et al.. (2025). Advancing automated cell type annotation with large language models and single-cell isoform sequencing. Computational and Structural Biotechnology Journal. 27. 4952–4962.

White, Amy, et al.. (2025). High mesothelin expression is associated with low cytotoxic T cell infiltration in pancreatic cancer. Frontiers in Immunology. 16. 1651687–1651687.

Calcino, Andrew, et al.. (2025). Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities. Human Genomics. 19(1). 97–97. 2 indexed citations

Calcino, Andrew, Ira Cooke, Megan Higgie, et al.. (2024). Harnessing genomic technologies for one health solutions in the tropics. Globalization and Health. 20(1). 78–78. 3 indexed citations

Wong, Alex C. H., Justin Wong, John E.J. Rasko, & Ulf Schmitz. (2023). SpliceWiz: interactive analysis and visualization of alternative splicing in R. Briefings in Bioinformatics. 25(1). 8 indexed citations

Song, Renhua, Karl Nordström, Jörn Walter, et al.. (2022). Increased chromatin accessibility facilitates intron retention in specific cell differentiation states. Nucleic Acids Research. 50(20). 11563–11579. 11 indexed citations

Dhungel, Bijay, Geoffray Monteuuis, Mehdi Sharifi Tabar, et al.. (2021). The Fusion of CLEC12A and MIR223HG Arises from a trans-Splicing Event in Normal and Transformed Human Cells. International Journal of Molecular Sciences. 22(22). 12178–12178. 7 indexed citations

Bailey, Charles G., Cynthia Metierre, Wunna Kyaw, et al.. (2021). Structure–function relationships explain CTCF zinc finger mutation phenotypes in cancer. Cellular and Molecular Life Sciences. 78(23). 7519–7536. 16 indexed citations

Schmitz, Ulf, et al.. (2021). CTCF as a regulator of alternative splicing: new tricks for an old player. Nucleic Acids Research. 49(14). 7825–7838. 41 indexed citations

10.

Monteuuis, Geoffray, et al.. (2020). Holding on to Junk Bonds: Intron Retention in Cancer and Therapy. Cancer Research. 81(4). 779–789. 22 indexed citations

11.

Emran, Abdullah Al, Jérémie Nsengimana, Ulf Schmitz, et al.. (2020). Study of the Female Sex Survival Advantage in Melanoma—A Focus on X-Linked Epigenetic Regulators and Immune Responses in Two Cohorts. Cancers. 12(8). 2082–2082. 14 indexed citations

12.

Schmitz, Ulf, Amy D. Marshall, Darya Vanichkina, et al.. (2020). Ctcf haploinsufficiency mediates intron retention in a tissue-specific manner. RNA Biology. 18(1). 93–103. 11 indexed citations

13.

Schmitz, Ulf, Jaynish S. Shah, Bijay Dhungel, et al.. (2020). Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients. Cancers. 12(12). 3738–3738. 10 indexed citations

14.

Amirkhah, Raheleh, Hojjat Naderi‐Meshkin, Jaynish S. Shah, Philip D. Dunne, & Ulf Schmitz. (2019). The Intricate Interplay between Epigenetic Events, Alternative Splicing and Noncoding RNA Deregulation in Colorectal Cancer. Cells. 8(8). 929–929. 34 indexed citations

15.

Edwards, Christopher R., William Ritchie, Justin Wong, et al.. (2016). A dynamic intron retention program in the mammalian megakaryocyte and erythrocyte lineages. Blood. 127(17). e24–e34. 78 indexed citations

16.

Amirkhah, Raheleh, Ali Farazmand, Shailendra K. Gupta, et al.. (2015). Naïve Bayes classifier predicts functional microRNA target interactions in colorectal cancer. Molecular BioSystems. 11(8). 2126–2134. 23 indexed citations

17.

Vera, Julio, Ulf Schmitz, Xin Lai, et al.. (2013). Kinetic Modeling–Based Detection of Genetic Signatures That Provide Chemoresistance via the E2F1-p73/DNp73-miR-205 Network. Cancer Research. 73(12). 3511–3524. 43 indexed citations

18.

Schmitz, Ulf, Olaf Wolkenhauer, & Julio Vera. (2013). MicroRNA Cancer Regulation: Advanced Concepts, Bioinformatics and Systems Biology Tools. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 11 indexed citations

19.

Schmitz, Ulf, et al.. (2012). Analysis of cell adhesion during early stages of colon cancer based on an extended multi-valued logic approach. Molecular BioSystems. 8(4). 1230–1242. 13 indexed citations

20.

Lai, Xin, Ulf Schmitz, Shailendra K. Gupta, et al.. (2012). Computational analysis of target hub gene repression regulated by multiple and cooperative miRNAs. Nucleic Acids Research. 40(18). 8818–8834. 70 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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