Stephan Riesenberg
Impact in
- Aging top 5%
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 3
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
- Single-cell and spatial transcriptomics 2
- RNA regulation and disease 2
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- SARS-CoV-2 detection and testing 2
- Co-authors
- Tomislav Maričić (9 shared papers)Svante Pääbo (8 shared papers)Philipp Kanis (7 shared papers)Dominik Macak (5 shared papers)Barbara Treutlein (2 shared papers)Stephan Borte (2 shared papers)Małgorzata Santel (2 shared papers)J. Gray Camp (2 shared papers)
In The Last Decade
Stephan Riesenberg
15 papers receiving 832 citations
Stephan Riesenberg's Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 42
- Developmental Neuroscience 80
- Business and International Management 30
- Molecular Biology 662
- Infectious Diseases 73
Countries citing papers authored by Stephan Riesenberg
This map shows the geographic impact of Stephan Riesenberg'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 Stephan Riesenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Riesenberg more than expected).
Fields of papers citing papers by Stephan Riesenberg
This network shows the impact of papers produced by Stephan Riesenberg. 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 Stephan Riesenberg. The network helps show where Stephan Riesenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Riesenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2021 | 126 | |
| 3 | 2019 | 119 | |
| 4 | 2021 | 97 | |
| 5 | Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthals Hit paper breakdown → | 2022 | 94 |
| 6 | 2019 | 85 | |
| 7 | 2022 | 73 | |
| 8 | 2023 | 49 | |
| 9 | 2022 | 34 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 2 | |
| 15 | Methods to increase the efficiency of precise CRISPR genome editing | 2020 | 2 |
| 16 | 2025 | 1 |
About Stephan Riesenberg
Stephan Riesenberg is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Genetics and Organic Chemistry, having authored 16 papers that have together received 842 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (3 papers), SARS-CoV-2 detection and testing (2 papers), Pluripotent Stem Cells Research (2 papers), Microtubule and mitosis dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Aging (42 citations), Developmental Neuroscience (80 citations), Business and International Management (30 citations), Molecular Biology (662 citations) and Infectious Diseases (73 citations). Stephan Riesenberg has collaborated with scholars based in Germany, Japan and Sweden. Frequent co-authors include Tomislav Maričić, Svante Pääbo, Philipp Kanis, Dominik Macak, Barbara Treutlein, Stephan Borte, Małgorzata Santel, J. Gray Camp, Matthias Meyer and Manjusha Chintalapati. Their work appears in journals such as Nature Communications, Nature Methods, Nucleic Acids Research, Nature Medicine and Bioconjugate Chemistry.
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.