Paul Datlinger
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Gene Regulatory Network Analysis
Papers in
-
- Epigenetics and DNA Methylation 7
- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 5
- Cancer-related gene regulation 4
- RNA and protein synthesis mechanisms 2
- Genetics 4
- Genetic Syndromes and Imprinting 4
- Co-authors
- Christoph Bock (14 shared papers)Johanna Klughammer (3 shared papers)Thomas Krausgruber (4 shared papers)André F. Rendeiro (2 shared papers)Christian Schmidl (2 shared papers)Peter Traxler (1 shared paper)Linda C. Schuster (1 shared paper)Donát Alpár (1 shared paper)
- Journals
- Nature Methods (3 papers)Cell Reports (3 papers)Nature Reviews Methods Primers (2 papers)Human Molecular Genetics (1 paper)Developmental Biology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Paul Datlinger
14 papers receiving 1.9k citations
Paul Datlinger's Hit Papers
Peers
Comparison fields: 5 of 96
- Aging 72
- Molecular Biology 1.6k
- Biophysics 135
- Cancer Research 253
- Business and International Management 33
Countries citing papers authored by Paul Datlinger
This map shows the geographic impact of Paul Datlinger'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 Paul Datlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Datlinger more than expected).
Fields of papers citing papers by Paul Datlinger
This network shows the impact of papers produced by Paul Datlinger. 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 Paul Datlinger. The network helps show where Paul Datlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Datlinger, 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 | Pooled CRISPR screening with single-cell transcriptome readout Hit paper breakdown → | 2017 | 691 |
| 2 | 2015 | 337 | |
| 3 | High-content CRISPR screening Hit paper breakdown → | 2022 | 305 |
| 4 | High-content CRISPR screening Hit paper breakdown → | 2022 | 176 |
| 5 | 2021 | 155 | |
| 6 | 2015 | 149 | |
| 7 | 2016 | 47 | |
| 8 | 2015 | 22 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 12 | |
| 12 | 2025 | 8 | |
| 13 | 2015 | 6 | |
| 14 | 2024 | 1 |
About Paul Datlinger
Paul Datlinger is a scholar working on Molecular Biology, Genetics, Oncology, Biophysics and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic Syndromes and Imprinting (4 papers), Cancer-related gene regulation (4 papers), CAR-T cell therapy research (2 papers), Cell Image Analysis Techniques (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (72 citations), Molecular Biology (1.6k citations), Biophysics (135 citations), Cancer Research (253 citations) and Business and International Management (33 citations). Paul Datlinger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christoph Bock, Johanna Klughammer, Thomas Krausgruber, André F. Rendeiro, Christian Schmidl, Peter Traxler, Linda C. Schuster, Donát Alpár, Nathan C. Sheffield and Andreas Schönegger. Their work appears in journals such as Nature Methods, Cell Reports, Nature Reviews Methods Primers, Human Molecular Genetics and Developmental Biology.
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.