Allyson Ross
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Renal and related cancers
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- DNA Repair Mechanisms
Papers in
-
- Gene expression and cancer classification 2
- Renal and related cancers 2
- Developmental Biology and Gene Regulation 2
- Single-cell and spatial transcriptomics 2
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- Cell Image Analysis Techniques 1
- Co-authors
- Bill Hill (4 shared papers)Duncan R Davidson (4 shared papers)James A. Sharpe (3 shared papers)Richard Alan Baldock (3 shared papers)Paul Perry (1 shared paper)Jacob Hecksher‐Sørensen (1 shared paper)Ulf Ahlgren (1 shared paper)Dieter Engelkamp (2 shared papers)
- Journals
- Cell (2 papers)Neuroinformatics (1 paper)Nucleic Acids Research (1 paper)Development (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United KingdomFranceBelgium
In The Last Decade
Allyson Ross
11 papers receiving 2.2k citations
Allyson Ross's Hit Papers
Peers
Comparison fields: 5 of 124
- Biophysics 340
- Molecular Biology 1.4k
- Acoustics and Ultrasonics 13
- Genetics 371
- Radiology, Nuclear Medicine and Imaging 283
Countries citing papers authored by Allyson Ross
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
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-authors
The 25 scholars most cited alongside Allyson Ross, 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 | Optical Projection Tomography as a Tool for 3D Microscopy and Gene Expression Studies Hit paper breakdown → | 2002 | 952 |
| 2 | 1995 | 437 | |
| 3 | 1996 | 385 | |
| 4 | 2005 | 130 | |
| 5 | 2003 | 109 | |
| 6 | 2016 | 79 | |
| 7 | 2011 | 53 | |
| 8 | 2003 | 38 | |
| 9 | 2009 | 35 | |
| 10 | 2012 | 31 | |
| 11 | 1981 | 5 |
About Allyson Ross
Allyson Ross is a scholar working on Molecular Biology, Biophysics, Cancer Research, Genetics and Immunology and Allergy, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Renal and related cancers (2 papers), Developmental Biology and Gene Regulation (2 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (1 paper), Animal Genetics and Reproduction (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Biophysics (340 citations), Molecular Biology (1.4k citations), Acoustics and Ultrasonics (13 citations), Genetics (371 citations) and Radiology, Nuclear Medicine and Imaging (283 citations). Allyson Ross has collaborated with scholars based in United Kingdom, France and Belgium. Frequent co-authors include Bill Hill, Duncan R Davidson, James A. Sharpe, Richard Alan Baldock, Paul Perry, Jacob Hecksher‐Sørensen, Ulf Ahlgren, Dieter Engelkamp, Veronica van Heyningen and Nicholas Dixon Hastie. Their work appears in journals such as Cell, Neuroinformatics, Nucleic Acids Research, Development and Mammalian Genome.
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.