Maximilian Haeussler
- Aging top 1%
- Developmental Neuroscience top 1%
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics 12
- Genomics and Phylogenetic Studies 11
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 8
- Biomedical Text Mining and Ontologies 6
- Genomics and Chromatin Dynamics 6
- RNA regulation and disease 5
- RNA Research and Splicing 5
- Neurology top 2%
- Co-authors
- Jean‐Paul ConcordetAparna BhaduriArnold R. KriegsteinTomasz J. NowakowskiJean‐Stéphane JolyAlena ShkumatavaJim KentJoffrey Mianné
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Maximilian Haeussler
41 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Aging 209
- Developmental Neuroscience 439
- Molecular Biology 5.1k
- Business and International Management 101
- Neurology 396
Countries citing papers authored by Maximilian Haeussler
This map shows the geographic impact of Maximilian Haeussler'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 Maximilian Haeussler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Haeussler more than expected).
Fields of papers citing papers by Maximilian Haeussler
This network shows the impact of papers produced by Maximilian Haeussler. 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 Maximilian Haeussler. The network helps show where Maximilian Haeussler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maximilian Haeussler, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 14 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 144 | |
| 8 | 2021 | 153 | |
| 9 | 2021 | 135 | |
| 10 | 2020 | 56 | |
| 11 | Cell stress in cortical organoids impairs molecular subtype specificationbreakdown → | 2020 | 357 |
| 12 | 2020 | 60 | |
| 13 | Single-cell genomics identifies cell type–specific molecular changes in autismbreakdown → | 2019 | 506 |
| 14 | 2019 | 129 | |
| 15 | 2019 | 16 | |
| 16 | HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo | 2018 | 0 |
| 17 | Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortexbreakdown → | 2017 | 519 |
| 18 | Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPORbreakdown → | 2016 | 1127 |
| 19 | 2010 | 25 | |
| 20 | 2010 | 13 |
About Maximilian Haeussler
Maximilian Haeussler is a scholar working on Developmental Neuroscience, Molecular Biology and Business and International Management, having authored 45 papers that have together received 6.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Genomics and Phylogenetic Studies (11 papers), CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (8 papers), Biomedical Text Mining and Ontologies (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA regulation and disease (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Aging (209 citations), Developmental Neuroscience (439 citations) and Molecular Biology (5.1k citations). Maximilian Haeussler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jean‐Paul Concordet, Aparna Bhaduri, Arnold R. Kriegstein, Tomasz J. Nowakowski, Jean‐Stéphane Joly, Alena Shkumatava, Jim Kent, Joffrey Mianné, Kai Schönig and Hélène Eckert. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.