Max D. Overath
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Enzyme Catalysis and Immobilization
Papers in
- Genetics 4
- Venomous Animal Envenomation and Studies 3
- Bacterial Genetics and Biotechnology 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Sai T. Reddy (2 shared papers)Cédric R. Weber (2 shared papers)Joseph M. Taft (2 shared papers)Roy A. Ehling (2 shared papers)Alexander Yermanos (1 shared paper)William Kelton (1 shared paper)Alejandro C. Alagon (1 shared paper)Kim Boddum (2 shared papers)
- Journals
- Nature (1 paper)Cell Systems (1 paper)Science (1 paper)mAbs (1 paper)Communications Chemistry (1 paper)
- Partner nations
- DenmarkUnited StatesSwitzerland
In The Last Decade
Max D. Overath
7 papers receiving 198 citations
Max D. Overath's Hit Papers
Peers
Comparison fields: 5 of 35
- Infectious Diseases 46
- Molecular Biology 90
- Radiology, Nuclear Medicine and Imaging 28
- Health Informatics 3
- Genetics 34
Countries citing papers authored by Max D. Overath
This map shows the geographic impact of Max D. Overath'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 Max D. Overath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max D. Overath more than expected).
Fields of papers citing papers by Max D. Overath
This network shows the impact of papers produced by Max D. Overath. 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 Max D. Overath. The network helps show where Max D. Overath may publish in the future.
Co-authors
The 18 scholars most cited alongside Max D. Overath, 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 | De novo designed proteins neutralize lethal snake venom toxins Hit paper breakdown → | 2025 | 84 |
| 2 | 2022 | 82 | |
| 3 | 2025 | 27 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 4 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 1 |
About Max D. Overath
Max D. Overath is a scholar working on Genetics, Infectious Diseases, Immunology, Oncology and Molecular Biology, having authored 7 papers that have together received 205 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), CAR-T cell therapy research (1 paper), vaccines and immunoinformatics approaches (1 paper), Bacterial Genetics and Biotechnology (1 paper), Immunotherapy and Immune Responses (1 paper), CRISPR and Genetic Engineering (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Infectious Diseases (46 citations), Molecular Biology (90 citations), Radiology, Nuclear Medicine and Imaging (28 citations), Health Informatics (3 citations) and Genetics (34 citations). Max D. Overath has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Sai T. Reddy, Cédric R. Weber, Joseph M. Taft, Roy A. Ehling, Alexander Yermanos, William Kelton, Alejandro C. Alagon, Kim Boddum, Melisa Bénard-Valle and Andreas H. Laustsen. Their work appears in journals such as Nature, Cell Systems, Science, mAbs and Communications Chemistry.
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.