Sebastian Diecke

6.9k total citations · 1 hit paper
68 papers, 3.7k citations indexed

About

Sebastian Diecke is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sebastian Diecke has authored 68 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Sebastian Diecke's work include Pluripotent Stem Cells Research (41 papers), CRISPR and Genetic Engineering (27 papers) and Neuroscience and Neural Engineering (7 papers). Sebastian Diecke is often cited by papers focused on Pluripotent Stem Cells Research (41 papers), CRISPR and Genetic Engineering (27 papers) and Neuroscience and Neural Engineering (7 papers). Sebastian Diecke collaborates with scholars based in Germany, United States and United Kingdom. Sebastian Diecke's co-authors include Joseph C. Wu, Feng Lan, Antje Ebert, Paul W. Burridge, Nicholas M. Mordwinkin, Jared M. Churko, Elena Matsa, Bruno Hüber, Joseph Gold and Oscar J. Abilez and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Sebastian Diecke

63 papers receiving 3.6k citations

Hit Papers

Chemically defined generation of human cardiomyocytes 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Diecke Germany 30 2.6k 872 844 547 530 68 3.7k
Antje Ebert United States 22 2.3k 0.9× 975 1.1× 797 0.9× 542 1.0× 769 1.5× 31 3.4k
Jared M. Churko United States 28 2.6k 1.0× 705 0.8× 606 0.7× 473 0.9× 889 1.7× 47 3.6k
Xiaoping Bao United States 23 2.0k 0.8× 770 0.9× 823 1.0× 363 0.7× 321 0.6× 65 3.0k
Ioannis Karakikes United States 35 2.3k 0.9× 876 1.0× 594 0.7× 466 0.9× 1.1k 2.1× 83 3.4k
Kexian Zhu United States 7 3.2k 1.2× 1.0k 1.2× 738 0.9× 508 0.9× 561 1.1× 8 3.8k
Boris Greber Germany 37 4.2k 1.6× 812 0.9× 806 1.0× 544 1.0× 319 0.6× 78 5.0k
Xiaojun Lian United States 25 3.4k 1.3× 1.6k 1.8× 1.5k 1.8× 657 1.2× 575 1.1× 63 4.7k
Yohei Hayashi Japan 24 3.0k 1.1× 1.1k 1.3× 499 0.6× 299 0.5× 254 0.5× 61 3.6k
Marisa Jaconi Switzerland 34 2.3k 0.9× 729 0.8× 459 0.5× 522 1.0× 423 0.8× 70 3.7k
Nicole Dubois United States 19 2.1k 0.8× 898 1.0× 431 0.5× 314 0.6× 212 0.4× 36 2.6k

Countries citing papers authored by Sebastian Diecke

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Diecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Diecke

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Diecke. A scholar is included among the top collaborators of Sebastian Diecke 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 Sebastian Diecke. Sebastian Diecke 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.
Telugu, Narasimha Swamy, Sebastian Diecke, Andranik Ivanov, et al.. (2026). Time‑resolved multi-omic analysis of paclitaxel exposure in human iPSC‑derived sensory neurons unveils mechanisms of chemotherapy‑induced peripheral neuropathy. Cell Death and Disease. 17(1). 211–211.
2.
Krüger, Christina, Thomas Wallach, Silke Frahm, et al.. (2025). Extracellular microRNAs modulate human microglial function through TLR8. Frontiers in Immunology. 16. 1645062–1645062.
3.
Juul‐Madsen, Kristian, Narasimha Swamy Telugu, Fabia Febbraro, et al.. (2025). Familial Alzheimer's disease mutation identifies novel role of SORLA in release of neurotrophic exosomes. Alzheimer s & Dementia. 21(9). e70591–e70591.
4.
Carvalho, Sílvia, Duncan C. Miller, Alexander Kukalev, et al.. (2024). SRRM2 splicing factor modulates cell fate in early development. Biology Open. 13(4). 1 indexed citations
6.
Fritsche‐Guenther, Raphaela, Ibrahim E. Efe, Olivia Cobb, et al.. (2023). Neurofibromin 1 mutations impair the function of human induced pluripotent stem cell-derived microglia. Disease Models & Mechanisms. 16(12). 2 indexed citations
7.
Diecke, Sebastian, et al.. (2023). iPSC-derived reactive astrocytes from patients with multiple sclerosis protect cocultured neurons in inflammatory conditions. Journal of Clinical Investigation. 133(13). 29 indexed citations
8.
Petzoldt, Astrid G., Narasimha Swamy Telugu, Sebastian Diecke, et al.. (2023). Phosphatidylinositol 3,5-bisphosphate facilitates axonal vesicle transport and presynapse assembly. Science. 382(6667). 223–230. 22 indexed citations
9.
Lahmann, Ines, Benjamin R. Rost, Angélica García-Pérez, et al.. (2023). Efficient generation of a self-organizing neuromuscular junction model from human pluripotent stem cells. Nature Communications. 14(1). 8043–8043. 15 indexed citations
10.
Miller, Duncan C., Paweł Lisowski, Erich E. Wanker, et al.. (2023). Generation of an induced pluripotent stem cell line from a Huntington’s disease patient with a long HTT-PolyQ sequence. Stem Cell Research. 68. 103056–103056.
11.
Lázaro, Jorge, Maria Costanzo, Marina Sanaki-Matsumiya, et al.. (2023). A stem cell zoo uncovers intracellular scaling of developmental tempo across mammals. Cell stem cell. 30(7). 938–949.e7. 46 indexed citations
13.
Zink, Annika, Narasimha Swamy Telugu, Mathias Beller, et al.. (2022). High-content analysis of neuronal morphology in human iPSC-derived neurons. STAR Protocols. 3(3). 101567–101567. 9 indexed citations
15.
Hayashi, Masafumi, Vera Zywitza, Nobuhiko Hamazaki, et al.. (2022). Robust induction of primordial germ cells of white rhinoceros on the brink of extinction. Science Advances. 8(49). eabp9683–eabp9683. 39 indexed citations
16.
Zink, Annika, Sebastian Diecke, Andreas Heinz, et al.. (2020). Assessment of Ethanol-Induced Toxicity on iPSC-Derived Human Neurons Using a Novel High-Throughput Mitochondrial Neuronal Health (MNH) Assay. Frontiers in Cell and Developmental Biology. 8. 590540–590540. 8 indexed citations
18.
Lee, Jaecheol, Youngkyun Kim, Hyoju Yi, et al.. (2014). Generation of disease-specific induced pluripotent stem cells from patients with rheumatoid arthritis and osteoarthritis. Arthritis Research & Therapy. 16(1). R41–R41. 42 indexed citations
19.
Burridge, Paul W., Elena Matsa, Praveen Shukla, et al.. (2014). Chemically defined generation of human cardiomyocytes. Nature Methods. 11(8). 855–860. 1122 indexed citations breakdown →
20.
Gu, Mingxia, Nicholas M. Mordwinkin, Nigel G. Kooreman, et al.. (2014). Pravastatin reverses obesity-induced dysfunction of induced pluripotent stem cell-derived endothelial cells via a nitric oxide-dependent mechanism. European Heart Journal. 36(13). 806–816. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026