Vanessa E. Gray
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Evolution and Genetic Dynamics
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 5
- Genetics 7
- Genomics and Rare Diseases 5
- Evolution and Genetic Dynamics 3
- Co-authors
- Douglas M. Fowler (4 shared papers)Ronald J. Hause (3 shared papers)Jay Shendure (2 shared papers)Sudhir Kumar (6 shared papers)Jens Luebeck (1 shared paper)Jason J. Stephany (2 shared papers)Lea M. Starita (1 shared paper)Kenneth A. Matreyek (1 shared paper)
- Journals
- Molecular Biology and Evolution (3 papers)Blood (2 papers)Blood Advances (2 papers)Nature Methods (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Vanessa E. Gray
15 papers receiving 871 citations
Vanessa E. Gray's Hit Papers
Peers
Comparison fields: 5 of 55
- Genetics 339
- Hematology 115
- Molecular Biology 382
- Pharmacology 38
- Oncology 43
Countries citing papers authored by Vanessa E. Gray
This map shows the geographic impact of Vanessa E. Gray'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. Gray 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. Gray more than expected).
Fields of papers citing papers by Vanessa E. Gray
This network shows the impact of papers produced by Vanessa E. Gray. 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. Gray. The network helps show where Vanessa E. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanessa E. Gray, 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 | Multiplex assessment of protein variant abundance by massively parallel sequencing Hit paper breakdown → | 2018 | 303 |
| 2 | 2017 | 150 | |
| 3 | 2017 | 94 | |
| 4 | 2021 | 73 | |
| 5 | 2012 | 54 | |
| 6 | 2012 | 50 | |
| 7 | 2021 | 50 | |
| 8 | 2011 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2015 | 20 | |
| 11 | 2022 | 14 | |
| 12 | 2014 | 10 | |
| 13 | 2013 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 |
About Vanessa E. Gray
Vanessa E. Gray is a scholar working on Hematology, Genetics, Molecular Biology, Infectious Diseases and Physiology, having authored 15 papers that have together received 880 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Genomics and Rare Diseases (5 papers), Evolution and Genetic Dynamics (3 papers), Genomics and Phylogenetic Studies (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), RNA and protein synthesis mechanisms (1 paper), Protein Structure and Dynamics (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Genetics (339 citations), Hematology (115 citations), Molecular Biology (382 citations), Pharmacology (38 citations) and Oncology (43 citations). Vanessa E. Gray has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Douglas M. Fowler, Ronald J. Hause, Jay Shendure, Sudhir Kumar, Jens Luebeck, Jason J. Stephany, Lea M. Starita, Kenneth A. Matreyek, Smita Bhatia and Jennifer N. Dines. Their work appears in journals such as Molecular Biology and Evolution, Blood, Blood Advances, Nature Methods and PLoS ONE.
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.