Isaac Sappington
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Chemical Synthesis and Analysis
-
- Computational Drug Discovery Methods
Papers in
- Co-authors
- Neil P. King (2 shared papers)Aereas Aung (1 shared paper)Daniel Lingwood (1 shared paper)Darrell Irvine (1 shared paper)Benjamin J. Read (1 shared paper)Chengbo Chen (1 shared paper)John C. Kraft (1 shared paper)Julia Bals (1 shared paper)
- Journals
- Nature (4 papers)Cell Reports (1 paper)Nature Communications (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Isaac Sappington
6 papers receiving 1.3k citations
Isaac Sappington's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 779
- Computational Theory and Mathematics 131
- Radiology, Nuclear Medicine and Imaging 134
- Structural Biology 8
- Biotechnology 38
Countries citing papers authored by Isaac Sappington
This map shows the geographic impact of Isaac Sappington'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 Isaac Sappington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Sappington more than expected).
Fields of papers citing papers by Isaac Sappington
This network shows the impact of papers produced by Isaac Sappington. 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 Isaac Sappington. The network helps show where Isaac Sappington may publish in the future.
Co-authors
The 20 scholars most cited alongside Isaac Sappington, 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 design of protein structure and function with RFdiffusion Hit paper breakdown → | 2023 | 1135 |
| 2 | Designed endocytosis-inducing proteins degrade targets and amplify signals Hit paper breakdown → | 2024 | 88 |
| 3 | De novo designed proteins neutralize lethal snake venom toxins Hit paper breakdown → | 2025 | 73 |
| 4 | 2022 | 48 | |
| 5 | 2024 | 12 | |
| 6 | 2026 | 1 | |
| 7 | 2026 | 0 |
About Isaac Sappington
Isaac Sappington is a scholar working on Virology, Genetics, Molecular Biology, Cell Biology and Food Science, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (1 paper), Complement system in diseases (1 paper), Pickering emulsions and particle stabilization (1 paper), Rabies epidemiology and control (1 paper), Biochemical and Structural Characterization (1 paper), Bacterial Genetics and Biotechnology (1 paper), Immunotherapy and Immune Responses (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (779 citations), Computational Theory and Mathematics (131 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Structural Biology (8 citations) and Biotechnology (38 citations). Isaac Sappington has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Neil P. King, Aereas Aung, Daniel Lingwood, Darrell Irvine, Benjamin J. Read, Chengbo Chen, John C. Kraft, Julia Bals, Shengwei Wu and Kelly K. Lee. Their work appears in journals such as Nature, Cell Reports, Nature Communications and Advanced Healthcare Materials.
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.