Vanessa E. Gray
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Genomics and Rare Diseases
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
- Histone Deacetylase Inhibitors Research 2
- Protein Structure and Dynamics 2
-
- Acute Myeloid Leukemia Research 8
- Co-authors
- Douglas M. Fowler (4 shared papers)Ronald J. Hause (3 shared papers)Jay Shendure (2 shared papers)Sudhir Kumar (5 shared papers)Jens Luebeck (1 shared paper)Jason J. Stephany (2 shared papers)Arineh Khechaduri (1 shared paper)Beth Martin (1 shared paper)
- Journals
- Blood (5 papers)Molecular Biology and Evolution (3 papers)Bioinformatics (1 paper)G3 Genes Genomes Genetics (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Vanessa E. Gray
18 papers receiving 794 citations
Peers
Comparison fields: 5 of 75
- Hematology 120
- Genetics 211
- Molecular Biology 502
- Cancer Research 59
- Oncology 90
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 | 2018 | 269 | |
| 2 | 2017 | 138 | |
| 3 | 2017 | 88 | |
| 4 | 2021 | 67 | |
| 5 | 2019 | 62 | |
| 6 | 2012 | 48 | |
| 7 | 2011 | 27 | |
| 8 | 2019 | 24 | |
| 9 | 2015 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2021 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 |
About Vanessa E. Gray
Vanessa E. Gray is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Infectious Diseases, having authored 18 papers that have together received 799 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Rare Diseases (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Protein Structure and Dynamics (2 papers), Bacterial Genetics and Biotechnology (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (120 citations), Genetics (211 citations), Molecular Biology (502 citations), Cancer Research (59 citations) and Oncology (90 citations). Vanessa E. Gray has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Douglas M. Fowler, Ronald J. Hause, Jay Shendure, Sudhir Kumar, Jens Luebeck, Jason J. Stephany, Arineh Khechaduri, Beth Martin, Wenjian Yang and Martin Kircher. Their work appears in journals such as Blood, Molecular Biology and Evolution, Bioinformatics, G3 Genes Genomes Genetics and Nature Genetics.
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.