Vanessa E. Wall
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 6
- Protein purification and stability 5
- Viral Infectious Diseases and Gene Expression in Insects 3
- Molecular Biology Techniques and Applications 1
- Melanoma and MAPK Pathways 1
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Dominic Esposito (15 shared papers)Jennifer L. Mehalko (6 shared papers)Matthew R. Drew (8 shared papers)Kelly Snead (5 shared papers)Kaitlyn Sadtler (2 shared papers)Troy E. Taylor (4 shared papers)Leslie C. Sutherland (2 shared papers)Nina D. Rintala‐Maki (2 shared papers)
- Journals
- Protein Expression and Purification (8 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Vanessa E. Wall
20 papers receiving 533 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 215
- Modeling and Simulation 34
- Molecular Biology 206
- Neurology 17
- Oncology 24
Countries citing papers authored by Vanessa E. Wall
This map shows the geographic impact of Vanessa E. Wall'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 Vanessa E. Wall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa E. Wall more than expected).
Fields of papers citing papers by Vanessa E. Wall
This network shows the impact of papers produced by Vanessa E. Wall. 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 Vanessa E. Wall. The network helps show where Vanessa E. Wall may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanessa E. Wall, 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 | 2021 | 124 | |
| 2 | 2021 | 101 | |
| 3 | 2020 | 73 | |
| 4 | 2006 | 52 | |
| 5 | 2013 | 32 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 19 | |
| 10 | 2011 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 13 | |
| 13 | 2006 | 9 | |
| 14 | 2015 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 1 |
About Vanessa E. Wall
Vanessa E. Wall is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Modeling and Simulation and Cancer Research, having authored 22 papers that have together received 540 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Protein purification and stability (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cancer-related Molecular Pathways (2 papers), Molecular Biology Techniques and Applications (1 paper), Melanoma and MAPK Pathways (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). The work is most often cited by research in Infectious Diseases (215 citations), Modeling and Simulation (34 citations), Molecular Biology (206 citations), Neurology (17 citations) and Oncology (24 citations). Vanessa E. Wall has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dominic Esposito, Jennifer L. Mehalko, Matthew R. Drew, Kelly Snead, Kaitlyn Sadtler, Troy E. Taylor, Leslie C. Sutherland, Nina D. Rintala‐Maki, William Gillette and Simon Amadeus Messing. Their work appears in journals such as Protein Expression and Purification, Nature Communications, Proceedings of the National Academy of Sciences, Science Translational Medicine and Journal of Proteome Research.
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.