Jason Ear
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 8
- Cancer-related gene regulation 6
- RNA modifications and cancer 5
- Wnt/β-catenin signaling in development and cancer 4
- Receptor Mechanisms and Signaling 3
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Pradipta Ghosh (18 shared papers)Mikel Garcia‐Marcos (9 shared papers)Marilyn G. Farquhar (5 shared papers)Barbara H. Jung (2 shared papers)Betty L. Cabrera (2 shared papers)John M. Carethers (2 shared papers)Shuo Liang Lin (4 shared papers)Irina Kufareva (5 shared papers)
- Journals
- Molecular Biology of the Cell (4 papers)iScience (3 papers)Journal of Biological Chemistry (3 papers)Scientific Reports (2 papers)Small (2 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Jason Ear
27 papers receiving 995 citations
Peers
Comparison fields: 5 of 99
- Immunology and Allergy 104
- Cell Biology 210
- Molecular Biology 652
- Cancer Research 66
- Oncology 110
Countries citing papers authored by Jason Ear
This map shows the geographic impact of Jason Ear'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 Jason Ear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Ear more than expected).
Fields of papers citing papers by Jason Ear
This network shows the impact of papers produced by Jason Ear. 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 Jason Ear. The network helps show where Jason Ear may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Ear, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 131 | |
| 2 | 2012 | 120 | |
| 3 | 2011 | 81 | |
| 4 | 2009 | 68 | |
| 5 | 2010 | 68 | |
| 6 | 2011 | 67 | |
| 7 | 2010 | 64 | |
| 8 | 2021 | 53 | |
| 9 | 2014 | 47 | |
| 10 | 2014 | 44 | |
| 11 | 2011 | 35 | |
| 12 | 2015 | 35 | |
| 13 | 2016 | 30 | |
| 14 | 2011 | 30 | |
| 15 | 2016 | 29 | |
| 16 | 2018 | 21 | |
| 17 | 2020 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 8 | |
| 20 | 2020 | 8 |
About Jason Ear
Jason Ear is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Cancer Research and Oncology, having authored 27 papers that have together received 997 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related gene regulation (6 papers), RNA modifications and cancer (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology and Allergy (104 citations), Cell Biology (210 citations), Molecular Biology (652 citations), Cancer Research (66 citations) and Oncology (110 citations). Jason Ear has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Pradipta Ghosh, Mikel Garcia‐Marcos, Marilyn G. Farquhar, Barbara H. Jung, Betty L. Cabrera, John M. Carethers, Shuo Liang Lin, Irina Kufareva, Ruben A Abagyan and Nicolas Aznar. Their work appears in journals such as Molecular Biology of the Cell, iScience, Journal of Biological Chemistry, Scientific Reports and Small.
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.