Michael Jendrusch
Impact in
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- Cell Image Analysis Techniques
Papers in
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- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Protein Structure and Dynamics 2
- Machine Learning in Bioinformatics 1
- Genetics 3
- Co-authors
- Iordania Constantinou (2 shared papers)Matthias Kloor (3 shared papers)Jakob Nikolas Kather (2 shared papers)Alexander T. Pearson (2 shared papers)Amelie Echle (1 shared paper)Tom Luedde (1 shared paper)Peter Boor (1 shared paper)Heike I. Grabsch (1 shared paper)
- Journals
- Nature Machine Intelligence (2 papers)Computers in Biology and Medicine (1 paper)Electrophoresis (1 paper)Nature Communications (1 paper)Nature (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Jendrusch
8 papers receiving 128 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 6
- Biophysics 18
- Radiology, Nuclear Medicine and Imaging 28
- Artificial Intelligence 37
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Michael Jendrusch
This map shows the geographic impact of Michael Jendrusch'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 Michael Jendrusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jendrusch more than expected).
Fields of papers citing papers by Michael Jendrusch
This network shows the impact of papers produced by Michael Jendrusch. 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 Michael Jendrusch. The network helps show where Michael Jendrusch may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Jendrusch, 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 | 2021 | 51 | |
| 2 | 2019 | 30 | |
| 3 | 2019 | 19 | |
| 4 | 2019 | 16 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2025 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Michael Jendrusch
Michael Jendrusch is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 12 papers that have together received 131 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers), AI in cancer detection (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Protein Structure and Dynamics (2 papers), Electrical and Bioimpedance Tomography (1 paper), Machine Learning in Bioinformatics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (6 citations), Biophysics (18 citations), Radiology, Nuclear Medicine and Imaging (28 citations), Artificial Intelligence (37 citations) and Computer Vision and Pattern Recognition (19 citations). Michael Jendrusch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Iordania Constantinou, Matthias Kloor, Jakob Nikolas Kather, Alexander T. Pearson, Amelie Echle, Tom Luedde, Peter Boor, Heike I. Grabsch, Josien C.A. Jenniskens and Christian Trautwein. Their work appears in journals such as Nature Machine Intelligence, Computers in Biology and Medicine, Electrophoresis, Nature Communications and Nature.
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.