Dietmar Rieder

12.0k total citations · 1 hit paper
57 papers, 5.2k citations indexed

About

Dietmar Rieder is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Dietmar Rieder has authored 57 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 15 papers in Immunology and 14 papers in Cancer Research. Recurrent topics in Dietmar Rieder's work include RNA modifications and cancer (15 papers), RNA Research and Splicing (13 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Dietmar Rieder is often cited by papers focused on RNA modifications and cancer (15 papers), RNA Research and Splicing (13 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Dietmar Rieder collaborates with scholars based in Austria, United States and France. Dietmar Rieder's co-authors include Zlatko Trajanoski, Francesca Finotello, Mirjana Efremova, Hubert Hackl, Pornpimol Charoentong, Clemens Mayer, Mihaela Angelova, Alexandra Lusser, Thomas Amort and Ronald Micura and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Dietmar Rieder

51 papers receiving 5.1k citations

Hit Papers

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunop... 2017 2026 2020 2023 2017 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dietmar Rieder Austria 25 2.8k 2.0k 1.8k 1.6k 1.5k 57 5.2k
Sandra S. McAllister United States 24 2.3k 0.8× 2.8k 1.4× 1.1k 0.6× 1.2k 0.7× 1.1k 0.8× 46 5.1k
Xihao Hu China 17 2.2k 0.8× 2.0k 1.0× 1.9k 1.0× 1.3k 0.8× 1.4k 0.9× 30 4.5k
Johan Botling Sweden 39 2.8k 1.0× 1.6k 0.8× 1.1k 0.6× 1.2k 0.8× 1.1k 0.7× 117 5.3k
Tessa Fredriksen France 7 1.6k 0.6× 2.6k 1.3× 1.3k 0.7× 1.1k 0.7× 2.0k 1.4× 8 4.7k
Robert Soriano United States 19 2.7k 1.0× 1.5k 0.8× 776 0.4× 1.5k 0.9× 639 0.4× 20 5.1k
Stéphane Terry France 33 1.6k 0.6× 1.1k 0.6× 1.4k 0.8× 1.1k 0.7× 650 0.4× 68 3.6k
Paolo Nucíforo Spain 42 4.1k 1.5× 3.4k 1.7× 1.2k 0.7× 1.8k 1.1× 901 0.6× 175 7.3k
Chloé B. Steen United States 17 1.7k 0.6× 1.2k 0.6× 828 0.5× 851 0.5× 1.2k 0.8× 29 3.8k
Diwakar R. Pattabiraman United States 20 3.3k 1.2× 2.4k 1.2× 507 0.3× 1.7k 1.1× 803 0.5× 28 5.7k
Antonio Gualberto United States 35 3.1k 1.1× 1.6k 0.8× 925 0.5× 1.3k 0.8× 590 0.4× 109 5.2k

Countries citing papers authored by Dietmar Rieder

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Rieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Rieder

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Rieder. A scholar is included among the top collaborators of Dietmar Rieder 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 Dietmar Rieder. Dietmar Rieder 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.
Bauer, Ingo, Dietmar Rieder, Matthias Schaefer, et al.. (2025). mRNA turnover dynamics are affected by cell differentiation and loss of the cytosine methyltransferase Nsun2. Nucleic Acids Research. 53(19).
2.
Nishio, Shin‐ya, Shin‐ichi Usami, József Dudás, et al.. (2024). Expression of Neurotrophins and Its Receptors During Fetal Development in the Human Cochlea. International Journal of Molecular Sciences. 25(23). 13007–13007.
3.
Goßner, Liebwin, Dietmar Rieder, Thomas Müller, & Andreas Janecke. (2024). The Recurrent E-Cadherin (CDH1) Mutation c.760G>A Causes Orofacial Clefts but Does Not Predispose to Hereditary Cancer. Genes. 15(11). 1475–1475.
4.
García‐Mulero, Sandra, Marco Punta, Stefano Lise, et al.. (2023). Driver mutations in GNAQ and GNA11 genes as potential targets for precision immunotherapy in uveal melanoma patients. OncoImmunology. 12(1). 2261278–2261278. 5 indexed citations
5.
Rieder, Dietmar & Zlatko Trajanoski. (2023). Checking immunotoxicity risks of checkpoint blockade. Nature Cancer. 4(6). 779–780. 2 indexed citations
6.
Riepler, Lydia, et al.. (2023). No evidence for epitranscriptomic m5C modification of SARS-CoV-2, HIV and MLV viral RNA. RNA. 29(6). 756–763. 9 indexed citations
7.
Moreno, Sarah, et al.. (2022). Synthesis of 4-thiouridines with prodrug functionalization for RNA metabolic labeling. RSC Chemical Biology. 3(4). 447–455. 4 indexed citations
8.
Bauer, Ingo, Evgeniya N. Andreyeva, Dietmar Rieder, et al.. (2021). CHD1 controls H3.3 incorporation in adult brain chromatin to maintain metabolic homeostasis and normal lifespan. Cell Reports. 37(1). 109769–109769. 11 indexed citations
9.
Gasser, Catherina, Karl Brillet, Lukas Trixl, et al.. (2020). Thioguanosine Conversion Enables mRNA‐Lifetime Evaluation by RNA Sequencing Using Double Metabolic Labeling (TUC‐seq DUAL). Angewandte Chemie International Edition. 59(17). 6881–6886. 28 indexed citations
10.
Gasser, Catherina, Karl Brillet, Lukas Trixl, et al.. (2020). Thioguanosine Conversion Enables mRNA‐Lifetime Evaluation by RNA Sequencing Using Double Metabolic Labeling (TUC‐seq DUAL). Angewandte Chemie. 132(17). 6948–6953. 2 indexed citations
11.
Sturm, Gregor, Tamás Szabó, Georgios Fotakis, et al.. (2020). Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data. Bioinformatics. 36(18). 4817–4818. 92 indexed citations
12.
Cimino‐Mathews, Ashley, Yoni Lubeck, Mark Opdam, et al.. (2020). Tumour-infiltrating lymphocytes (TILs) and BRCA-like status in stage III breast cancer patients randomised to adjuvant intensified platinum-based chemotherapy versus conventional chemotherapy. European Journal of Cancer. 127. 240–250. 18 indexed citations
13.
Finotello, Francesca, Dietmar Rieder, Hubert Hackl, & Zlatko Trajanoski. (2019). Next-generation computational tools for interrogating cancer immunity. Nature Reviews Genetics. 20(12). 724–746. 108 indexed citations
14.
Fischer, Patrick, et al.. (2019). FoxH1 represses miR-430 during early embryonic development of zebrafish via non-canonical regulation. BMC Biology. 17(1). 61–61. 7 indexed citations
15.
Apostolova, Galina, Dietmar Rieder, Georg Dechant, et al.. (2018). Genes regulated by SATB2 during neurodevelopment contribute to schizophrenia and educational attainment. PLoS Genetics. 14(7). e1007515–e1007515. 30 indexed citations
16.
Hammerl, Dora, Dietmar Rieder, John W.M. Martens, Zlatko Trajanoski, & Reno Debets. (2018). Adoptive T Cell Therapy: New Avenues Leading to Safe Targets and Powerful Allies. Trends in Immunology. 39(11). 921–936. 34 indexed citations
17.
Klepsch, Victoria, Natascha Hermann‐Kleiter, Bojana Jakic, et al.. (2018). Nuclear receptor NR2F6 inhibition potentiates responses to PD-L1/PD-1 cancer immune checkpoint blockade. Nature Communications. 9(1). 1538–1538. 52 indexed citations
18.
Amort, Thomas, Dietmar Rieder, Alexandra Wille, et al.. (2017). Distinct 5-methylcytosine profiles in poly(A) RNA from mouse embryonic stem cells and brain. Genome biology. 18(1). 1–1. 351 indexed citations
19.
Pessentheiner, Ariane, Evelyn Walenta, Martina Schweiger, et al.. (2013). NAT8L (N-Acetyltransferase 8-Like) Accelerates Lipid Turnover and Increases Energy Expenditure in Brown Adipocytes. Journal of Biological Chemistry. 288(50). 36040–36051. 64 indexed citations
20.
Rieder, Dietmar, Christian Ploner, Anne Krogsdam, et al.. (2013). Co-expressed genes prepositioned in spatial neighborhoods stochastically associate with SC35 speckles and RNA polymerase II factories. Cellular and Molecular Life Sciences. 71(9). 1741–1759. 36 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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