Michaela Willi
Impact in
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- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Nephrology top 10%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
Papers in
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- Genomics and Chromatin Dynamics 7
- CRISPR and Genetic Engineering 4
- Microbial Metabolic Engineering and Bioproduction 2
- Co-authors
- Lothar G. Hennighausen (13 shared papers)Chaochen Wang (5 shared papers)Hye‐Kyung Lee (9 shared papers)Kyung Hyun Yoo (3 shared papers)Chengyu Liu (8 shared papers)Ha Youn Shin (3 shared papers)Xianke Zeng (2 shared papers)Gil Metser (1 shared paper)
- Journals
- Nature Communications (5 papers)Nucleic Acids Research (3 papers)PLoS ONE (2 papers)Science Translational Medicine (1 paper)F1000Research (1 paper)
- Partner nations
- United StatesAustriaSouth Korea
In The Last Decade
Michaela Willi
21 papers receiving 681 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 464
- Nephrology 61
- Cancer Research 32
- Genetics 69
- Oncology 40
Countries citing papers authored by Michaela Willi
This map shows the geographic impact of Michaela Willi'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 Michaela Willi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Willi more than expected).
Fields of papers citing papers by Michaela Willi
This network shows the impact of papers produced by Michaela Willi. 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 Michaela Willi. The network helps show where Michaela Willi may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Willi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 203 | |
| 2 | 2020 | 81 | |
| 3 | 2018 | 74 | |
| 4 | 2020 | 48 | |
| 5 | 2023 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2016 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2019 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 7 | |
| 19 | Database update MEMOSys 2.0: an update of the bioinformatics database for genome-scale models and genomic data | 2014 | 6 |
| 20 | 2024 | 4 |
About Michaela Willi
Michaela Willi is a scholar working on Molecular Biology, Nephrology, Health Informatics, Oncology and Hepatology, having authored 22 papers that have together received 683 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), CRISPR and Genetic Engineering (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Lung Cancer Treatments and Mutations (1 paper), Insect symbiosis and bacterial influences (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Molecular Biology (464 citations), Nephrology (61 citations), Cancer Research (32 citations), Genetics (69 citations) and Oncology (40 citations). Michaela Willi has collaborated with scholars based in United States, Austria and South Korea. Frequent co-authors include Lothar G. Hennighausen, Chaochen Wang, Hye‐Kyung Lee, Kyung Hyun Yoo, Chengyu Liu, Ha Youn Shin, Xianke Zeng, Gil Metser, Harold E. Smith and David R. Liu. Their work appears in journals such as Nature Communications, Nucleic Acids Research, PLoS ONE, Science Translational Medicine and F1000Research.
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.