Stacey Gerben
Impact in
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Machine Learning in Bioinformatics
Papers in
-
- RNA and protein synthesis mechanisms 8
- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 3
- Glycosylation and Glycoproteins Research 2
- Chemical Synthesis and Analysis 2
- Virology 2
- Co-authors
- Justin A. Lemkul (1 shared paper)Anne M. Brown (1 shared paper)David R. Bevan (1 shared paper)Alex Kang (6 shared papers)Asim K. Bera (6 shared papers)David Baker (6 shared papers)Anastassia Andreevna Vorobieva (1 shared paper)Paul C. White (1 shared paper)
- Journals
- Nature (4 papers)Science (3 papers)Nature Communications (2 papers)Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stacey Gerben
21 papers receiving 782 citations
Stacey Gerben's Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 478
- Biomaterials 37
- Computational Theory and Mathematics 48
- Physiology 62
- Radiology, Nuclear Medicine and Imaging 49
Countries citing papers authored by Stacey Gerben
This map shows the geographic impact of Stacey Gerben'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 Stacey Gerben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacey Gerben more than expected).
Fields of papers citing papers by Stacey Gerben
This network shows the impact of papers produced by Stacey Gerben. 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 Stacey Gerben. The network helps show where Stacey Gerben may publish in the future.
Co-authors
The 25 scholars most cited alongside Stacey Gerben, 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 | De novo design of high-affinity binders of bioactive helical peptides Hit paper breakdown → | 2023 | 153 |
| 2 | 2021 | 104 | |
| 3 | Designed endocytosis-inducing proteins degrade targets and amplify signals Hit paper breakdown → | 2024 | 88 |
| 4 | 2013 | 74 | |
| 5 | De novo designed proteins neutralize lethal snake venom toxins Hit paper breakdown → | 2025 | 73 |
| 6 | Multistate and functional protein design using RoseTTAFold sequence space diffusion Hit paper breakdown → | 2024 | 70 |
| 7 | 2023 | 49 | |
| 8 | Cyclic peptide structure prediction and design using AlphaFold2 Hit paper breakdown → | 2025 | 37 |
| 9 | 2025 | 31 | |
| 10 | 2024 | 30 | |
| 11 | 2025 | 28 | |
| 12 | 2025 | 18 | |
| 13 | 2017 | 15 | |
| 14 | 2025 | 15 | |
| 15 | 2025 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 1 |
About Stacey Gerben
Stacey Gerben is a scholar working on Molecular Biology, Virology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 22 papers that have together received 808 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (4 papers), Lipid Membrane Structure and Behavior (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Chemical Synthesis and Analysis (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (478 citations), Biomaterials (37 citations), Computational Theory and Mathematics (48 citations), Physiology (62 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Stacey Gerben has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Justin A. Lemkul, Anne M. Brown, David R. Bevan, Alex Kang, Asim K. Bera, David Baker, Anastassia Andreevna Vorobieva, Paul C. White, Sophie R. Harvey and Lukas K. Tamm. Their work appears in journals such as Nature, Science, Nature Communications, Genetics and Cell.
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.