Ryan S. Gray
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in ⓘ
- Cell Biology 18
- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 5
- Zebrafish Biomedical Research Applications 5
- Co-authors
- Lilianna Solnica‐Krezel (7 shared papers)Andrew J. Ewald (5 shared papers)John B. Wallingford (11 shared papers)Isabelle Roszko (1 shared paper)Kevin J. Cheung (2 shared papers)Tae Joo Park (4 shared papers)Audrey Brenot (1 shared paper)Paul Yaswen (1 shared paper)
- Journals
- Developmental Biology (6 papers)Current Biology (3 papers)Developmental Dynamics (3 papers)Human Molecular Genetics (2 papers)Disease Models & Mechanisms (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ryan S. Gray
44 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Cell Biology 880
- Genetics 617
- Molecular Biology 1.5k
- Aging 23
- Developmental Neuroscience 54
Countries citing papers authored by Ryan S. Gray
This map shows the geographic impact of Ryan S. 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 Ryan S. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan S. Gray more than expected).
Fields of papers citing papers by Ryan S. Gray
This network shows the impact of papers produced by Ryan S. 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 Ryan S. Gray. The network helps show where Ryan S. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan S. 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 350 | |
| 2 | 2010 | 263 | |
| 3 | 2011 | 238 | |
| 4 | 2014 | 180 | |
| 5 | 2009 | 178 | |
| 6 | 2005 | 87 | |
| 7 | 2010 | 80 | |
| 8 | 2013 | 73 | |
| 9 | 2015 | 63 | |
| 10 | 2014 | 56 | |
| 11 | 2010 | 54 | |
| 12 | 2019 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2008 | 43 | |
| 15 | 2017 | 43 | |
| 16 | 2020 | 42 | |
| 17 | 2009 | 38 | |
| 18 | 2018 | 36 | |
| 19 | 2010 | 35 | |
| 20 | 2020 | 32 |
About Ryan S. Gray
Ryan S. Gray is a scholar working on Cell Biology, Developmental Neuroscience, Genetics, Equine and Molecular Biology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Congenital heart defects research (10 papers), Genetic and Kidney Cyst Diseases (8 papers), Connective tissue disorders research (8 papers), Microtubule and mitosis dynamics (7 papers), Developmental Biology and Gene Regulation (7 papers), Scoliosis diagnosis and treatment (6 papers), Cellular Mechanics and Interactions (5 papers) and Zebrafish Biomedical Research Applications (5 papers). The work is most often cited by research in Cell Biology (880 citations), Genetics (617 citations), Molecular Biology (1.5k citations), Aging (23 citations) and Developmental Neuroscience (54 citations). Ryan S. Gray has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lilianna Solnica‐Krezel, Andrew J. Ewald, John B. Wallingford, Isabelle Roszko, Kevin J. Cheung, Tae Joo Park, Audrey Brenot, Paul Yaswen, Zena Werb and William C. Hines. Their work appears in journals such as Developmental Biology, Current Biology, Developmental Dynamics, Human Molecular Genetics and Disease Models & Mechanisms.
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.