Patrick Erñst
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
Papers in
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- Biomedical Text Mining and Ontologies 13
- RNA and protein synthesis mechanisms 11
- Mitochondrial Function and Pathology 6
- Protein Structure and Dynamics 5
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- Semantic Web and Ontologies 9
- Topic Modeling 7
- Co-authors
- Andreas Plückthun (17 shared papers)Gerhard Weikum (9 shared papers)Amy Siu (5 shared papers)Peer R. E. Mittl (8 shared papers)Lufang Zhou (16 shared papers)Tariq Afroz (1 shared paper)Zuzanna Maniecka (1 shared paper)Eva‐Maria Hock (1 shared paper)
- Journals
- Nature Communications (4 papers)Scientific Reports (3 papers)Process Biochemistry (2 papers)Journal of Visualized Experiments (2 papers)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Patrick Erñst
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Neurology 174
- Molecular Biology 782
- Genetics 87
- Radiology, Nuclear Medicine and Imaging 146
- Ecology 174
Countries citing papers authored by Patrick Erñst
This map shows the geographic impact of Patrick Erñst'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 Patrick Erñst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Erñst more than expected).
Fields of papers citing papers by Patrick Erñst
This network shows the impact of papers produced by Patrick Erñst. 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 Patrick Erñst. The network helps show where Patrick Erñst may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Erñst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 260 | |
| 2 | 2019 | 168 | |
| 3 | 2015 | 106 | |
| 4 | 2018 | 66 | |
| 5 | 2017 | 56 | |
| 6 | 2014 | 56 | |
| 7 | 2021 | 48 | |
| 8 | 2021 | 46 | |
| 9 | 2020 | 41 | |
| 10 | 2021 | 40 | |
| 11 | 2018 | 36 | |
| 12 | 2020 | 31 | |
| 13 | 2017 | 29 | |
| 14 | 2019 | 27 | |
| 15 | 2019 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2010 | 16 | |
| 20 | 2023 | 13 |
About Patrick Erñst
Patrick Erñst is a scholar working on Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), RNA and protein synthesis mechanisms (11 papers), Semantic Web and Ontologies (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Topic Modeling (7 papers), Mitochondrial Function and Pathology (6 papers), Protein Structure and Dynamics (5 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Neurology (174 citations), Molecular Biology (782 citations), Genetics (87 citations), Radiology, Nuclear Medicine and Imaging (146 citations) and Ecology (174 citations). Patrick Erñst has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Andreas Plückthun, Gerhard Weikum, Amy Siu, Peer R. E. Mittl, Lufang Zhou, Tariq Afroz, Zuzanna Maniecka, Eva‐Maria Hock, Florent Laferrière and Mélanie Jambeau. Their work appears in journals such as Nature Communications, Scientific Reports, Process Biochemistry, Journal of Visualized Experiments and ACS Synthetic 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.