Stefan Simm

2.2k total citations
57 papers, 1.5k citations indexed

About

Stefan Simm is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Stefan Simm has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Plant Science and 7 papers in Immunology. Recurrent topics in Stefan Simm's work include RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (12 papers) and Photosynthetic Processes and Mechanisms (11 papers). Stefan Simm is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (12 papers) and Photosynthetic Processes and Mechanisms (11 papers). Stefan Simm collaborates with scholars based in Germany, Austria and United Kingdom. Stefan Simm's co-authors include Enrico Schleiff, Sotirios Fragkostefanakis, Mario Keller, Oliver Mirus, Klaus‐Dieter Scharf, Puneet Paul, Anida Mesihović, Yangjie Hu, Markus T. Bohnsack and Maike Ruprecht and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Stefan Simm

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Simm Germany 22 1.2k 756 65 57 51 57 1.5k
Joris J. Benschop Netherlands 20 1.3k 1.1× 1.0k 1.3× 81 1.2× 119 2.1× 27 0.5× 28 2.0k
Julio Sáez‐Vasquez France 25 1.4k 1.2× 1.3k 1.7× 58 0.9× 29 0.5× 35 0.7× 54 1.9k
Marek Dynowski Germany 17 656 0.6× 1.1k 1.5× 37 0.6× 33 0.6× 36 0.7× 24 1.6k
Dominique Gagliardi France 26 1.6k 1.4× 813 1.1× 50 0.8× 51 0.9× 27 0.5× 46 1.9k
Carole Pichereaux France 22 590 0.5× 394 0.5× 48 0.7× 50 0.9× 32 0.6× 44 1.1k
Lam Dai Vu Belgium 18 910 0.8× 970 1.3× 40 0.6× 17 0.3× 39 0.8× 37 1.4k
Sylvain Bischof Switzerland 20 956 0.8× 1.0k 1.3× 49 0.8× 17 0.3× 21 0.4× 24 1.5k
Anne‐Marie Duchêne France 22 1.3k 1.1× 328 0.4× 65 1.0× 45 0.8× 23 0.5× 40 1.5k
Emmanuelle Graciet Ireland 24 1.5k 1.3× 1.2k 1.6× 54 0.8× 45 0.8× 89 1.7× 42 1.9k
Kazuya Ishikawa Japan 24 707 0.6× 1.1k 1.4× 61 0.9× 46 0.8× 19 0.4× 80 1.9k

Countries citing papers authored by Stefan Simm

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Simm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Simm

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Simm. A scholar is included among the top collaborators of Stefan Simm 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 Stefan Simm. Stefan Simm 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.
2.
Oldenburg, Jan, et al.. (2025). Explainable AI Model Reveals Informative Mutational Signatures for Cancer-Type Classification. Cancers. 17(11). 1731–1731.
3.
Tsoy, Olga, Elke Hammer, Stefan Simm, et al.. (2025). Alternative Splicing in Mechanically Stretched Podocytes as a Model of Glomerular Hypertension. Journal of the American Society of Nephrology. 36(9). 1702–1715. 1 indexed citations
4.
Oldenburg, Jan, Lars Kaderali, Henry Völzke, et al.. (2024). XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets. Biomolecules. 14(12). 1501–1501. 2 indexed citations
5.
Simm, Stefan, et al.. (2024). DiscovEpi: automated whole proteome MHC-I-epitope prediction and visualization. BMC Bioinformatics. 25(1). 310–310. 2 indexed citations
6.
Simm, Stefan, et al.. (2024). Agent-based modeling to estimate the impact of lockdown scenarios and events on a pandemic exemplified on SARS-CoV-2. Scientific Reports. 14(1). 13391–13391. 4 indexed citations
7.
Simm, Stefan, Jens Ehrhardt, Janosch Schoon, et al.. (2024). Integrating tumor and healthy epithelium in a micro-physiology multi-compartment approach to study renal cell carcinoma pathophysiology. Scientific Reports. 14(1). 9357–9357. 3 indexed citations
8.
Siegerist, Florian, et al.. (2023). A Novel High-Content Screening Assay Identified Belinostat as Protective in a FSGS—Like Zebrafish Model. Journal of the American Society of Nephrology. 34(12). 1977–1990. 6 indexed citations
9.
Jensen, Lars R., et al.. (2023). MncR: Late Integration Machine Learning Model for Classification of ncRNA Classes Using Sequence and Structural Encoding. International Journal of Molecular Sciences. 24(10). 8884–8884. 4 indexed citations
10.
Nath, Neetika, Cassandra Falckenhayn, Thomas C. G. Bosch, et al.. (2022). Macrophages Are Polarized toward an Inflammatory Phenotype by their Aged Microenvironment in the Human Skin. Journal of Investigative Dermatology. 142(12). 3136–3145.e11. 23 indexed citations
11.
Zielonka, Elisabeth M., Jakob M. Goldmann, Enrico Schleiff, et al.. (2022). Enhanced pro-apoptosis gene signature following the activation of TAp63α in oocytes upon γ irradiation. Cell Death and Disease. 13(3). 204–204. 7 indexed citations
12.
Simm, Stefan, et al.. (2019). Regulation of two GTPases Toc159 and Toc34 in the translocon of the outer envelope of chloroplasts. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(6). 627–636. 13 indexed citations
13.
Simm, Stefan, K. S. Fischer, Lucia E. Groß, et al.. (2019). The intracellular distribution of the components of the GET system in vascular plants. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(10). 1650–1662. 8 indexed citations
14.
Keller, Mario & Stefan Simm. (2018). The coupling of transcriptome and proteome adaptation during development and heat stress response of tomato pollen. BMC Genomics. 19(1). 67 indexed citations
15.
Simm, Stefan, et al.. (2016). 50 years of amino acid hydrophobicity scales: revisiting the capacity for peptide classification. Biological Research. 49(1). 31–31. 79 indexed citations
16.
Simm, Stefan, et al.. (2015). Identification and Expression Analysis of Ribosome Biogenesis Factor Co-orthologs in Solanum lycopersicum. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Sloan, Katherine E., Matthias S. Leisegang, Carmen Doebele, et al.. (2014). The association of late-acting snoRNPs with human pre-ribosomal complexes requires the RNA helicase DDX21. Nucleic Acids Research. 43(1). 553–564. 65 indexed citations
18.
Martin, Roman, Philipp Hackert, Maike Ruprecht, et al.. (2014). A pre-ribosomal RNA interaction network involving snoRNAs and the Rok1 helicase. RNA. 20(8). 1173–1182. 41 indexed citations
19.
Paul, Puneet, Stefan Simm, Klaus‐Dieter Scharf, et al.. (2013). The protein translocation systems in plants – composition and variability on the example of Solanum lycopersicum. BMC Genomics. 14(1). 189–189. 21 indexed citations
20.
Bionda, Tihana, et al.. (2010). Chloroplast Import Signals: The Length Requirement for Translocation In Vitro and In Vivo. Journal of Molecular Biology. 402(3). 510–523. 62 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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