Stefan Bonn

7.4k total citations
74 papers, 2.6k citations indexed

About

Stefan Bonn is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Stefan Bonn has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Physiology. Recurrent topics in Stefan Bonn's work include RNA modifications and cancer (11 papers), Single-cell and spatial transcriptomics (10 papers) and RNA Research and Splicing (10 papers). Stefan Bonn is often cited by papers focused on RNA modifications and cancer (11 papers), Single-cell and spatial transcriptomics (10 papers) and RNA Research and Splicing (10 papers). Stefan Bonn collaborates with scholars based in Germany, United Kingdom and Sweden. Stefan Bonn's co-authors include Eileen E. M. Furlong, André Fischer, Vincenzo Capece, Andrew Riddell, Robert P. Zinzen, Alexis Perez‐Gonzalez, Daniel Sumner Magruder, Nicolas Delhomme, E. Hilary Gustafson and Bartek Wilczyński and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Stefan Bonn

71 papers receiving 2.6k 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 Bonn Germany 27 1.9k 339 299 275 220 74 2.6k
Youngshik Choe South Korea 28 1.4k 0.7× 366 1.1× 464 1.6× 198 0.7× 225 1.0× 64 2.9k
Stephen R. Williams United States 20 1.9k 1.0× 474 1.4× 292 1.0× 280 1.0× 143 0.7× 38 3.3k
Barkur S. Shastry United States 23 2.2k 1.2× 594 1.8× 274 0.9× 230 0.8× 240 1.1× 78 3.4k
Shilpa D. Kadam United States 30 2.1k 1.1× 471 1.4× 784 2.6× 227 0.8× 112 0.5× 64 3.5k
Gabriel Santpere Spain 25 1.3k 0.7× 302 0.9× 402 1.3× 136 0.5× 284 1.3× 51 2.6k
John F. Fullard United States 23 1.1k 0.6× 422 1.2× 244 0.8× 152 0.6× 253 1.1× 62 2.0k
Ying‐Wooi Wan United States 23 982 0.5× 358 1.1× 198 0.7× 252 0.9× 306 1.4× 51 1.8k
Kevin A. Wilkinson United Kingdom 28 2.2k 1.2× 341 1.0× 944 3.2× 188 0.7× 184 0.8× 68 3.0k
Shuyu Wang China 14 1.9k 1.0× 152 0.4× 327 1.1× 177 0.6× 304 1.4× 35 2.8k
Steven D. Sheridan United States 22 1.5k 0.8× 736 2.2× 356 1.2× 214 0.8× 446 2.0× 43 2.6k

Countries citing papers authored by Stefan Bonn

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Bonn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Bonn

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Bonn. A scholar is included among the top collaborators of Stefan Bonn 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 Bonn. Stefan Bonn 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.
Гундорова, П., et al.. (2025). Personalized Genotype‐Based Approach for Treatment of Phenylketonuria. Journal of Inherited Metabolic Disease. 48(5). e70067–e70067. 1 indexed citations
2.
Benseler, Fritz, Stefan Bonn, Silvio O. Rizzoli, et al.. (2025). Neddylation regulates the development and function of glutamatergic neurons. Communications Biology. 8(1). 1338–1338.
3.
Zazara, Dimitra E., Anastasios D. Giannou, Maike Pincus, et al.. (2024). Fetal lung growth predicts the risk for early-life respiratory infections and childhood asthma. World Journal of Pediatrics. 20(5). 481–495. 5 indexed citations
4.
Hausmann, Fabian, Lucas Caldi Gomes, Sonja Hänzelmann, et al.. (2024). A dataset profiling the multiomic landscape of the prefrontal cortex in amyotrophic lateral sclerosis. GigaScience. 13. 1 indexed citations
5.
Lindberg, Eric L., Christian Casar, Adrien Guillot, et al.. (2024). Liver transcriptome analysis reveals PSC-attributed gene set associated with fibrosis progression. JHEP Reports. 7(3). 101267–101267. 3 indexed citations
6.
7.
Hausmann, Fabian, Can Ergen, Mohamed Marouf, et al.. (2023). DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection. Genome biology. 24(1). 212–212. 8 indexed citations
8.
Zhao, Yu, Hans‐Joachim Paust, Claudia Wegscheid, et al.. (2023). Transcriptional and Clonal Characterization of Cytotoxic T Cells in Crescentic Glomerulonephritis. Journal of the American Society of Nephrology. 34(6). 1003–1018. 10 indexed citations
9.
Silbern, Ivan, Lucas Caldi Gomes, Vivian Dambeck, et al.. (2023). Proteomic analysis of the human hippocampus identifies neuronal pentraxin 1 (NPTX1) as synapto‐axonal target in late‐stage Parkinson's disease. Journal of Neurochemistry. 166(5). 862–874. 1 indexed citations
10.
Menden, Kevin, Margherita Francescatto, Cornelis Blauwendraat, et al.. (2023). A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes. Scientific Data. 10(1). 849–849. 6 indexed citations
11.
Drexler, Richard, Thomas Sauvigny, Ulrich Schüller, et al.. (2023). Epigenetic profiling reveals a strong association between lack of 5-ALA fluorescence and EGFR amplification in IDH-wildtype glioblastoma. Neuro-Oncology Practice. 10(5). 462–471. 1 indexed citations
12.
Berghoff, Stefan A., Lena Spieth, Ting Sun, et al.. (2021). Neuronal cholesterol synthesis is essential for repair of chronically demyelinated lesions in mice. Cell Reports. 37(4). 109889–109889. 35 indexed citations
13.
Silbern, Ivan, Kuan‐Ting Pan, Stefan Bonn, et al.. (2021). Protein Phosphorylation in Depolarized Synaptosomes: Dissecting Primary Effects of Calcium from Synaptic Vesicle Cycling. Molecular & Cellular Proteomics. 20. 100061–100061. 10 indexed citations
14.
Klaus, Martin, Milagros N. Wong, Lukas Gernhold, et al.. (2021). Deep learning–based molecular morphometrics for kidney biopsies. JCI Insight. 6(7). 28 indexed citations
15.
Moreno, Sergio Oller, Karin Kloiber, Pierre Machart, & Stefan Bonn. (2021). Algorithmic advances in machine learning for single-cell expression analysis. Current Opinion in Systems Biology. 25. 27–33. 22 indexed citations
16.
Menden, Kevin, Mohamed Marouf, Sergio Oller Moreno, et al.. (2020). Deep learning–based cell composition analysis from tissue expression profiles. Science Advances. 6(30). eaba2619–eaba2619. 129 indexed citations
17.
Bonn, Stefan, et al.. (2019). Explainable Deep Learning for Augmentation of Small RNA Expression Profiles. Journal of Computational Biology. 27(2). 234–247. 9 indexed citations
18.
Hatje, Klas, Raza‐Ur Rahman, Ramón Vidal, et al.. (2017). The landscape of human mutually exclusive splicing. Molecular Systems Biology. 13(12). 959–959. 44 indexed citations
19.
Xie, Wanhua, Sankari Nagarajan, Simon J. Baumgart, et al.. (2017). RNF40 regulates gene expression in an epigenetic context-dependent manner. Genome biology. 18(1). 32–32. 42 indexed citations
20.
Gallego, Oriol, Matthew J. Betts, Jelena Gvozdenovic‐Jeremic, et al.. (2010). A systematic screen for protein–lipid interactions in Saccharomyces cerevisiae. Molecular Systems Biology. 6(1). 430–430. 137 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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