Vanessa E. Gray

1.9k total citations
12 papers, 1.0k citations indexed

About

Vanessa E. Gray is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Vanessa E. Gray has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Vanessa E. Gray's work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Rare Diseases (3 papers). Vanessa E. Gray is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Rare Diseases (3 papers). Vanessa E. Gray collaborates with scholars based in United States, Canada and Saudi Arabia. Vanessa E. Gray's co-authors include Vanessa Forti, Kees Baldé, Ruediger Kuehr, Douglas M. Fowler, Ronald J. Hause, Jay Shendure, Sudhir Kumar, Jens Luebeck, Jason J. Stephany and Jennifer N. Dines and has published in prestigious journals such as Nature Genetics, Blood and Bioinformatics.

In The Last Decade

Vanessa E. Gray

12 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vanessa E. Gray United States 10 504 272 218 140 66 12 1.0k
Yingqi Liu China 22 600 1.2× 36 0.1× 36 0.2× 51 0.4× 29 0.4× 73 1.3k
Wenfeng Lu China 17 258 0.5× 107 0.4× 28 0.1× 26 0.2× 6 0.1× 77 880
Shuai Tan China 16 411 0.8× 55 0.2× 65 0.3× 5 0.0× 23 0.3× 60 781
Alicia Lee United States 10 1.4k 2.9× 79 0.3× 93 0.4× 13 0.1× 15 0.2× 13 2.0k
Lining Liu China 14 189 0.4× 47 0.2× 75 0.3× 24 0.2× 4 0.1× 72 875
Luyao Wang China 19 235 0.5× 36 0.1× 21 0.1× 62 0.4× 11 0.2× 51 965
Alfredo Aguilar Belgium 21 421 0.8× 19 0.1× 153 0.7× 10 0.1× 172 2.6× 59 1.4k
Zhuang Yao South Korea 18 368 0.7× 101 0.4× 80 0.4× 4 0.0× 6 0.1× 64 886
Luyao Li China 17 377 0.7× 16 0.1× 89 0.4× 21 0.1× 13 0.2× 65 826
Wanqiu Hu China 11 254 0.5× 93 0.3× 9 0.0× 19 0.1× 58 0.9× 13 1.0k

Countries citing papers authored by Vanessa E. Gray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vanessa E. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa E. Gray. A scholar is included among the top collaborators of Vanessa E. Gray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vanessa E. Gray. Vanessa E. Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Gray, Vanessa E., et al.. (2019). Elucidating the Molecular Determinants of Aβ Aggregation with Deep Mutational Scanning. G3 Genes Genomes Genetics. 9(11). 3683–3689. 21 indexed citations
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Matreyek, Kenneth A., Lea M. Starita, Jason J. Stephany, et al.. (2018). Multiplex assessment of protein variant abundance by massively parallel sequencing. Nature Genetics. 50(6). 874–882. 254 indexed citations
5.
Gray, Vanessa E., Ronald J. Hause, & Douglas M. Fowler. (2017). Analysis of Large-Scale Mutagenesis Data To Assess the Impact of Single Amino Acid Substitutions. Genetics. 207(1). 53–61. 83 indexed citations
6.
Gray, Vanessa E., Ronald J. Hause, Jens Luebeck, Jay Shendure, & Douglas M. Fowler. (2017). Quantitative Missense Variant Effect Prediction Using Large-Scale Mutagenesis Data. Cell Systems. 6(1). 116–124.e3. 133 indexed citations
7.
Liu, Li, Koichiro Tamura, Maxwell Sanderford, Vanessa E. Gray, & Sudhir Kumar. (2015). A Molecular Evolutionary Reference for the Human Variome. Molecular Biology and Evolution. 33(1). 245–254. 20 indexed citations
8.
Baldé, Kees, Vanessa Forti, Vanessa E. Gray, & Ruediger Kuehr. (2015). The Global E-waste Monitor 2014: Quantities, flows and resources. UNU Collections (United Nations University). 362 indexed citations
9.
Gray, Vanessa E., et al.. (2014). Signatures of Natural Selection on Mutations of Residues with Multiple Posttranslational Modifications. Molecular Biology and Evolution. 31(7). 1641–1645. 9 indexed citations
10.
Champion, Mia D., Vanessa E. Gray, Carl Eberhard, & Sudhir Kumar. (2013). The Evolutionary History of Amino Acid Variations Mediating Increased Resistance of S. aureus Identifies Reversion Mutations in Metabolic Regulators. PLoS ONE. 8(2). e56466–e56466. 2 indexed citations
11.
Gray, Vanessa E., Kimberly R. Kukurba, & Sudhir Kumar. (2012). Performance of computational tools in evaluating the functional impact of laboratory-induced amino acid mutations. Bioinformatics. 28(16). 2093–2096. 48 indexed citations
12.
Gray, Vanessa E. & Sudhir Kumar. (2011). Rampant Purifying Selection Conserves Positions with Posttranslational Modifications in Human Proteins. Molecular Biology and Evolution. 28(5). 1565–1568. 25 indexed citations

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.

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