Allyson Ross

2.7k total citations · 1 hit paper
10 papers, 2.0k citations indexed

About

Allyson Ross is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Allyson Ross has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biophysics. Recurrent topics in Allyson Ross's work include Single-cell and spatial transcriptomics (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Renal and related cancers (2 papers). Allyson Ross is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Renal and related cancers (2 papers). Allyson Ross collaborates with scholars based in United Kingdom and France. Allyson Ross's co-authors include Bill Hill, Duncan Davidson, James Sharpe, Richard Baldock, Jacob Hecksher‐Sørensen, Paul Perry, Ulf Ahlgren, Dieter Engelkamp, Veronica van Heyningen and Nicholas D. Hastie and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Allyson Ross

10 papers receiving 2.0k citations

Hit Papers

Optical Projection Tomography as a Tool for 3D Microscopy... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allyson Ross United Kingdom 9 1.3k 337 334 326 285 10 2.0k
Mary E. Dickinson United States 29 1.4k 1.0× 301 0.9× 530 1.6× 313 1.0× 179 0.6× 59 2.5k
Bill Hill United Kingdom 14 766 0.6× 159 0.5× 354 1.1× 356 1.1× 218 0.8× 32 1.6k
Jason Heth United States 21 874 0.7× 522 1.5× 217 0.6× 199 0.6× 160 0.6× 56 2.1k
Antonio Scialdone Italy 25 3.5k 2.6× 282 0.8× 252 0.8× 360 1.1× 457 1.6× 82 5.2k
Sheel Shah United States 16 1.8k 1.3× 144 0.4× 305 0.9× 647 2.0× 85 0.3× 25 2.6k
Alison J. North United States 19 1.3k 0.9× 259 0.8× 229 0.7× 421 1.3× 67 0.2× 25 2.4k
Ingo Roeder Germany 30 1.3k 1.0× 316 0.9× 297 0.9× 264 0.8× 62 0.2× 109 2.8k
Johnathon R. Walls Canada 13 865 0.6× 122 0.4× 179 0.5× 130 0.4× 136 0.5× 16 1.3k
Steffen Dietzel Germany 26 2.4k 1.8× 531 1.6× 131 0.4× 255 0.8× 115 0.4× 55 2.9k
Sakir H. Gultekin United States 26 720 0.5× 416 1.2× 74 0.2× 113 0.3× 299 1.0× 90 3.2k

Countries citing papers authored by Allyson Ross

Since Specialization
Citations

This map shows the geographic impact of Allyson Ross'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 Allyson Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allyson Ross more than expected).

Fields of papers citing papers by Allyson Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allyson Ross. 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 Allyson Ross. The network helps show where Allyson Ross may publish in the future.

Co-authorship network of co-authors of Allyson Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Allyson Ross. A scholar is included among the top collaborators of Allyson Ross 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 Allyson Ross. Allyson Ross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Armit, Chris, Shanmugasundaram Venkataraman, Lorna Richardson, et al.. (2012). eMouseAtlas, EMAGE, and the spatial dimension of the transcriptome. Mammalian Genome. 23(9-10). 514–524. 28 indexed citations
2.
Lawson, Kirstie A., Bill Hill, Anne Moreau, et al.. (2011). Clonal and molecular analysis of the prospective anterior neural boundary in the mouse embryo. Development. 139(2). 423–436. 47 indexed citations
3.
Lemos, Manuel C., Brian Harding, Adam J. Reed, et al.. (2009). Genetic background influences embryonic lethality and the occurrence of neural tube defects in Men1 null mice: relevance to genetic modifiers. Journal of Endocrinology. 203(1). 133–142. 29 indexed citations
4.
Ross, Allyson. (2005). Vertebrate DNA damage tolerance requires the C-terminus but not BRCT or transferase domains of REV1. Nucleic Acids Research. 33(4). 1280–1289. 130 indexed citations
5.
Baldock, Richard, Jonathan Bard, Albert Burger, et al.. (2003). EMAP and EMAGE: A Framework for Understanding Spatially Organized Data. Neuroinformatics. 1(4). 309–326. 96 indexed citations
6.
Menke, Aswin, Annemieke IJpenberg, Stewart Fleming, et al.. (2003). The wt1 ‐heterozygous mouse; a model to study the development of glomerular sclerosis. The Journal of Pathology. 200(5). 667–674. 33 indexed citations
7.
Sharpe, James, Ulf Ahlgren, Paul Perry, et al.. (2002). Optical Projection Tomography as a Tool for 3D Microscopy and Gene Expression Studies. Science. 296(5567). 541–545. 889 indexed citations breakdown →
8.
Schedl, Andreas, Allyson Ross, Muriel Lee, et al.. (1996). Influence of PAX6 Gene Dosage on Development: Overexpression Causes Severe Eye Abnormalities. Cell. 86(1). 71–82. 373 indexed citations
9.
Larsson, Stefan, Jean-Paul Charlieu, Kiyoshi Miyagawa, et al.. (1995). Subnuclear localization of WT1 in splicing or transcription factor domains is regulated by alternative splicing. Cell. 81(3). 391–401. 410 indexed citations
10.
Woodruff, M. F. A., et al.. (1981). Cellular basis for the loss of carcinogen from methylcholanthrene-impregnated Millipore membrane. Proceedings of the Royal Society of London. Series B, Biological sciences. 211(1184). 269–286. 4 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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