Christopher Esk
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Cellular transport and secretion 6
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- Single-cell and spatial transcriptomics 7
- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 3
- Metabolism, Diabetes, and Cancer 2
- Genomics and Chromatin Dynamics 2
- Gene Regulatory Network Analysis 1
- Co-authors
- Juergen A. Knoblich (11 shared papers)Dominik Lindenhofer (3 shared papers)Joshua A. Bagley (2 shared papers)Johannes A. Zuber (2 shared papers)Maria Novatchkova (4 shared papers)Josef Martin Penninger (2 shared papers)Jasmin Taubenschmid (2 shared papers)Reiner Wimmer (1 shared paper)
- Journals
- Nature (2 papers)The EMBO Journal (2 papers)Science (2 papers)The Journal of Cell Biology (2 papers)GigaScience (1 paper)
- Partner nations
- AustriaUnited StatesJapan
In The Last Decade
Christopher Esk
18 papers receiving 1.4k citations
Christopher Esk's Hit Papers
Peers
Comparison fields: 5 of 96
- Developmental Neuroscience 115
- Cell Biology 305
- Molecular Biology 890
- Aging 22
- Biomedical Engineering 294
Countries citing papers authored by Christopher Esk
This map shows the geographic impact of Christopher Esk'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 Christopher Esk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Esk more than expected).
Fields of papers citing papers by Christopher Esk
This network shows the impact of papers produced by Christopher Esk. 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 Christopher Esk. The network helps show where Christopher Esk may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Esk, 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 | Human blood vessel organoids as a model of diabetic vasculopathy Hit paper breakdown → | 2019 | 602 |
| 2 | Single-cell brain organoid screening identifies developmental defects in autism Hit paper breakdown → | 2023 | 157 |
| 3 | 2020 | 120 | |
| 4 | 2005 | 119 | |
| 5 | 2009 | 88 | |
| 6 | 2013 | 62 | |
| 7 | 2016 | 51 | |
| 8 | 2010 | 49 | |
| 9 | 2022 | 43 | |
| 10 | 2014 | 42 | |
| 11 | 2019 | 33 | |
| 12 | 2022 | 17 | |
| 13 | 2013 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2022 | 8 | |
| 16 | 2025 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2010 | 0 |
About Christopher Esk
Christopher Esk is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Aging and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cellular transport and secretion (6 papers), Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), MicroRNA in disease regulation (2 papers) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Developmental Neuroscience (115 citations), Cell Biology (305 citations), Molecular Biology (890 citations), Aging (22 citations) and Biomedical Engineering (294 citations). Christopher Esk has collaborated with scholars based in Austria, United States and Japan. Frequent co-authors include Juergen A. Knoblich, Dominik Lindenhofer, Joshua A. Bagley, Johannes A. Zuber, Maria Novatchkova, Josef Martin Penninger, Jasmin Taubenschmid, Reiner Wimmer, Guibin Chen and Manfred Boehm. Their work appears in journals such as Nature, The EMBO Journal, Science, The Journal of Cell Biology and GigaScience.
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.